MLOps Companies

Google Cloud AI

Mountain View, United States

Google Cloud AI provides a comprehensive suite of cloud-based artificial intelligence services for enterprise customers. Their core offering, Vertex AI, is a unified platform enabling the full lifecycle of machine learning development – from model building and tuning to deployment and MLOps. Google Cloud AI differentiates itself through decades of internal AI research – including the development of transformer models – and a focus on enabling customizable, production-ready AI agents for business automation.

IBM watsonx

Armonk, United States

IBM watsonx is an enterprise AI platform offering foundation models – including open-source options – and governance tools designed to accelerate the deployment of generative AI. The platform focuses on enabling businesses to build, deploy, and monitor AI assistants and agents across hybrid cloud environments. watsonx targets large organizations seeking to integrate AI into core workflows while maintaining control, compliance, and data security.

Snowflake AI

Bozeman, United States

Snowflake AI delivers fully-managed AI and machine learning services directly within the Snowflake Data Cloud, eliminating data movement and simplifying AI deployment for enterprises. Their core product, Snowflake Cortex, provides pre-built functions and model training capabilities accessible through standard SQL. This allows data scientists and analysts to build and deploy AI applications on their existing Snowflake data, reducing complexity and accelerating time-to-value.

DoorDash

San Francisco, United States

DoorDash is a leading on-demand food and goods delivery platform operating primarily in the United States. The company leverages machine learning models for real-time demand forecasting, efficient driver dispatch, and optimized route planning to minimize delivery times and costs. This technology serves both consumers seeking convenient delivery and merchants aiming to expand reach and streamline fulfillment, ultimately driving profitability within the competitive last-mile delivery market.

Palantir

Denver, United States

Palantir Technologies develops data integration and analysis platforms leveraging artificial intelligence and machine learning. Their core products, including Foundry and Gotham, enable organizations to connect disparate data sources and operationalize insights through a central operating system. Palantir primarily serves government agencies and large enterprises requiring complex data analysis for operational decision-making and strategic planning, particularly in sectors like defense, finance, and healthcare.

Coupang

Seoul, South Korea

Coupang is a South Korean e-commerce and logistics company leveraging artificial intelligence to optimize its end-to-end customer experience. Their core technology is an AI-powered logistics network – including demand forecasting, warehouse automation, and delivery route optimization – enabling “Rocket Delivery,” a same-day or next-day delivery service. Coupang primarily targets South Korean consumers seeking rapid fulfillment and convenience, differentiating itself through speed and efficiency in a highly competitive e-commerce market.

FANUC is a Japanese multinational corporation specializing in factory automation solutions, including industrial robots, CNC systems, and related technologies. They integrate AI and IoT capabilities into their core product lines – FA (factory automation), Robots, and Robomachines – to enhance efficiency and performance for manufacturing processes. FANUC primarily serves a global industrial market, offering a unique value proposition through lifetime product support and a commitment to long-term automation solutions.

Zomato

Gurugram, India

Zomato is an India-based technology platform specializing in online food delivery and restaurant discovery. Their core offering leverages machine learning algorithms to provide personalized restaurant recommendations and optimize delivery logistics across a network of over 1.5 million restaurants. Targeting the rapidly growing Indian food technology market, Zomato differentiates itself through hyperlocal delivery networks and a comprehensive platform integrating discovery, ordering, and quick commerce capabilities.

Symbotic

Wilmington, United States

Symbotic develops end-to-end warehouse automation systems utilizing a fleet of fully autonomous robots and AI-powered software. Their technology orchestrates a high-density robotic system to improve efficiency, speed, and flexibility within warehouse operations. Symbotic targets large-scale consumer goods distributors and retailers seeking to address labor challenges, reduce operating costs, and optimize inventory management within increasingly complex supply chains.

Procore AI

Carpinteria, United States

Procore Technologies provides a comprehensive construction management platform utilized throughout all phases of a project, from preconstruction to closeout. Their core innovation is Procore Helix, an AI-powered intelligence layer that leverages analytics and agentic workflows to automate tasks and deliver actionable insights. Procore targets general contractors and construction managers seeking to improve project efficiency, safety, and financial outcomes through data-driven decision-making.

Autostore

Nedre Vats, Norway

AutoStore provides ultra-dense automated storage and retrieval systems (AS/RS) for large-scale warehousing and fulfillment operations. Their core technology utilizes a grid-based, goods-to-person robotic system that optimizes storage density and throughput within a cubic layout. Targeting e-commerce companies and third-party logistics providers, AutoStore offers a scalable solution designed to maximize space utilization – reportedly quadrupling capacity – and achieve consistently high uptime (99.8%).

UiPath

New York, United States

UiPath provides a platform for enterprise automation, combining Robotic Process Automation (RPA) with AI-powered agentic automation capabilities. Their core technology utilizes AI agents to automate complex, end-to-end business processes, extending beyond traditional task-based RPA. UiPath targets large organizations seeking to improve operational efficiency and accelerate AI transformation by freeing employees from repetitive tasks and enabling focus on higher-value work.

FPT Software

Hanoi, Vietnam

FPT Software is a global technology services provider headquartered in Vietnam specializing in full-stack AI enablement for enterprise clients. They deliver custom AI solutions – including platforms like AIDP and Confidon – leveraging proprietary tools and an AI-driven SDLC to accelerate development and reduce costs. Their primary focus is driving digital transformation and improving operational efficiency for businesses in sectors like banking, insurance, manufacturing, and sports, with partnerships including NVIDIA and Microsoft supporting their offerings.

Globant

Buenos Aires, Argentina

Globant is an IT and digital transformation consultancy specializing in the implementation of enterprise AI solutions. Their core offering, “AI Pods,” delivers on-demand, subscription-based access to dedicated teams of AI engineers and architects focused on rapid project delivery and quantifiable cost savings. Globant targets large organizations seeking to accelerate AI adoption through a managed service model, rather than internal development or traditional consulting engagements.

Byju's

Bangalore, India

Byju's is an Indian EdTech company delivering online learning programs for K-12 students, as well as test preparation for competitive exams including NEET, JEE, and UPSC. Their core offering is a personalized learning app utilizing adaptive learning algorithms to tailor educational content and pacing to individual student needs. Byju's differentiates itself through a two-teacher model – one to deliver content and another to address individual student questions and provide support.

Gojek

Jakarta, Indonesia

Gojek is a Southeast Asian “super app” providing on-demand transportation, food delivery, logistics, and digital payment services primarily within Indonesia. Their core AI capabilities focus on optimizing ride and delivery dispatch, route planning, and fraud detection to efficiently connect users with services and drivers. Gojek differentiates itself through integrated public transport solutions and a commitment to sustainability, as demonstrated by features like GoGreener and carbon offset initiatives.

Pega

Cambridge, United States

Pega provides a low-code platform for business process and customer relationship management, enabling organizations to automate complex workflows and personalize customer interactions. Their core technology centers on AI-powered decisioning, allowing businesses to rapidly build and deploy applications without extensive coding. Pega targets large enterprises seeking to modernize legacy systems and improve operational agility through adaptable, AI-driven automation.

Ola

Bangalore, India

Ola is a mobility platform operating primarily in India, offering on-demand ride-hailing, fleet management services, and a growing EV charging network. Their core technology leverages AI-powered algorithms for dynamic pricing, route optimization, and demand prediction to efficiently connect riders and drivers. Ola targets the mass market for personal transportation while increasingly focusing on establishing a comprehensive ecosystem for electric vehicle adoption and operation.

Swiggy

Bangalore, India

Here's a company description for Swiggy, based on the provided information: Swiggy is an India-based platform specializing in food delivery and quick commerce, operating across both restaurant and grocery verticals. The company leverages machine learning algorithms for dynamic route optimization of its delivery fleet and predictive modeling of consumer demand to minimize delivery times and improve inventory management. This technology enables Swiggy to efficiently serve a large and rapidly growing urban consumer base with on-demand services.

Databricks

San Francisco, United States

Databricks provides a unified analytics platform for data engineering, data science, and machine learning. Known for Apache Spark and Delta Lake.

Nubank AI

São Paulo, Brazil

Nubank AI is a Brazilian digital bank leveraging machine learning models for automated credit risk assessment and fraud prevention. Their core offering is a full-service digital banking platform, including credit cards and high-yield savings accounts, designed for a mass market currently underserved by traditional financial institutions. Nubank differentiates itself through transparent pricing, eliminating fees and offering competitive rates, appealing to a broad consumer base in Brazil and beyond.

Flexport

San Francisco, United States

Flexport is a logistics platform that digitizes and streamlines global freight operations for businesses of all sizes. Utilizing a data-centric approach, Flexport provides SKU-level supply chain visibility and automation, encompassing ocean and air freight, customs brokerage, and container optimization. The company targets businesses seeking to improve efficiency, reduce costs, and gain real-time control over their end-to-end supply chains, from purchase order to final delivery.

Celonis

Munich, Germany

Celonis delivers a Process Intelligence Platform that utilizes AI-powered process mining to identify and eliminate inefficiencies within enterprise workflows. Their technology analyzes event logs from existing IT systems to create a digital twin of business processes, providing data-driven insights for optimization and automation. Celonis primarily serves large enterprises seeking to improve operational efficiency, reduce costs, and deploy AI solutions with measurable ROI based on real process data.

Bolt (Taxify)

Tallinn, Estonia

Bolt is a multi-service mobility platform operating in over 600 cities across 50+ countries, offering ride-hailing, micromobility, food & grocery delivery, and car rental services. The company leverages AI-powered algorithms for dynamic pricing, route optimization, and demand prediction to efficiently match supply and demand across its diverse service offerings. Bolt differentiates itself by providing a comprehensive, integrated mobility solution, and also offers data-driven insights to city planners for improved urban connectivity.

Rippling

San Francisco, United States

Rippling provides a unified platform for managing core business functions including HR, IT, and finance. Their technology consolidates these traditionally disparate systems onto a single data platform, enabling automation and streamlined workflows. Rippling targets growing businesses seeking to improve operational efficiency and reduce administrative overhead by eliminating application switching and data silos.

Blue Yonder

Scottsdale, United States

Blue Yonder provides an end-to-end supply chain management platform leveraging AI and machine learning for planning, execution, commerce, and returns. Their core offering utilizes predictive analytics – generating millions of AI predictions daily – to optimize inventory, fulfillment, and overall supply chain performance. Blue Yonder targets large enterprises seeking to improve supply chain resilience, reduce costs, and enhance customer experiences through data-driven automation.

Snyk

Boston, United States

Snyk provides a developer security platform focused on securing modern applications, particularly those leveraging AI. Their core technology, DeepCode AI, utilizes machine learning models trained on security data to power static analysis, software composition analysis, and container/Kubernetes security testing throughout the software development lifecycle. Snyk targets organizations building and deploying applications – especially AI-native ones – seeking to proactively identify and remediate vulnerabilities with automated, AI-driven workflows.

Noon

Dubai, United Arab Emirates

Noon is a regional e-commerce marketplace operating primarily in the Middle East. The company leverages AI-powered recommendation engines to personalize the shopping experience and utilizes machine learning for optimizing its supply chain and logistics network. This focus on AI-driven efficiency allows Noon to offer competitive pricing and faster delivery times within a rapidly growing regional e-commerce market.

Ninja Van

Singapore, Singapore

Ninja Van is a leading logistics provider specializing in last-mile delivery across Southeast Asia. The company utilizes AI-powered route optimization algorithms to improve delivery efficiency and reduce costs within a complex regional landscape. Targeting e-commerce merchants and businesses requiring regional shipping, Ninja Van differentiates itself through extensive service coverage and data-driven delivery solutions.

Lime

San Francisco, United States

Lime is a micromobility provider operating fleets of shared electric scooters. The company leverages proprietary AI-powered demand prediction and route optimization algorithms to dynamically balance scooter availability and proactively redistribute inventory across its operating areas. This technology enables Lime to maximize scooter utilization, minimize rider wait times, and improve operational efficiency in dense urban environments.

Wolt

Helsinki, Finland

Wolt is a logistics platform connecting customers with local restaurants, grocery stores, and retailers for on-demand delivery. They utilize AI-powered route optimization and demand prediction algorithms to facilitate fast and efficient delivery services, often within a 30-minute timeframe. Targeting both consumers and businesses, Wolt provides a delivery-as-a-service solution that increases sales for merchants while offering convenience to end-users, and also offers a dedicated logistics solution ("Wolt Drive") for e-commerce businesses.

OneTrust

Atlanta, United States

OneTrust provides a unified platform for privacy, security, and governance automation, enabling organizations to manage data and comply with evolving regulations. Their core offering centers on AI governance solutions that embed compliance controls throughout the entire AI lifecycle, from data collection to deployment. OneTrust targets enterprises seeking to operationalize responsible AI practices and mitigate risk while accelerating innovation, particularly those facing complex regulatory landscapes.

Tanium

Kirkland, United States

Tanium provides a real-time platform that unifies endpoint data to deliver autonomous IT and security solutions. Their core technology leverages AI and machine learning to proactively identify and remediate threats and operational issues across complex IT environments. Tanium targets large, security-conscious organizations requiring comprehensive endpoint visibility and control to mitigate risk and maintain operational resilience.

Trax

Singapore, Singapore

Trax Retail provides cloud-based retail analytics solutions for Consumer Packaged Goods (CPG) brands and retailers. Their core technology utilizes computer vision and deep learning algorithms to autonomously collect and analyze on-shelf product data – including stock levels, planogram compliance, and share of shelf – across a nationwide retail network. This provides clients with real-time, granular insights into in-store conditions, enabling data-driven merchandising decisions and optimized promotional activations.

Cybereason

Boston, United States

Cybereason is a U.S.-based cybersecurity company specializing in Extended Detection and Response (XDR). Their platform utilizes AI and machine learning to analyze petabytes of data across the entire IT environment, providing automated threat prediction and response with minimal human intervention. Cybereason targets enterprises seeking a comprehensive, AI-driven security solution validated by MITRE to improve detection rates and accelerate remediation times.

Dataiku

Paris, France

Dataiku provides an end-to-end platform for organizations to build, deploy, and manage data science, machine learning, and now generative AI applications. Their “Universal AI Platform” integrates data preparation, model development (including AutoML and custom coding), and MLOps capabilities into a single environment, with a focus on governance and LLM integration. Dataiku targets enterprises seeking to operationalize AI and data science initiatives beyond proof-of-concept, enabling broader adoption across data teams and business users.

Automation Anywhere

San Jose, United States

Automation Anywhere delivers agentic process automation software for large enterprises, combining robotic process automation (RPA) with artificial intelligence. Their platform utilizes AI to enable automation bots to independently discover, adapt to, and execute end-to-end business processes with minimal human intervention. Targeting industries like healthcare, financial services, and manufacturing, Automation Anywhere aims to improve operational agility and accelerate automation scalability for mission-critical tasks.

Careem

Dubai, United Arab Emirates

Careem is a multi-service “super app” operating primarily in the MENAP region, offering ride-hailing, food and grocery delivery, and financial services. The company leverages AI-powered demand prediction and route optimization to efficiently connect customers with services and optimize logistics across its platform. Targeting a broad consumer base and increasingly focusing on digital payments, Careem aims to be the leading all-in-one lifestyle platform for the region.

Relex Solutions

Helsinki, Finland

Relex Solutions is a Finnish provider of AI-powered retail and supply chain planning software. Their unified platform utilizes integrated machine learning models to deliver end-to-end forecasting, automated processes, and optimized inventory management—from production to point-of-sale. Relex primarily serves retailers, wholesalers, and manufacturers seeking to improve forecast accuracy, reduce waste, and increase efficiency across complex, multi-channel operations.

Scale AI

San Francisco, United States

ScaleAI provides data labeling and annotation services critical for developing and deploying machine learning models. Their core offering is a managed data platform utilizing human-in-the-loop workflows and proprietary technology to deliver high-quality training data at scale. ScaleAI primarily serves companies operating in data-intensive AI applications like autonomous vehicles, geospatial intelligence, and robotics, accelerating their model development lifecycles.

Geek+

Beijing, China

Geek+ is a robotics company specializing in autonomous mobile robot (AMR) solutions for warehouse logistics. They offer a comprehensive, integrated software platform and range of AMRs – including transport, goods-to-person, and pallet handling robots – to automate internal warehouse operations. Targeting small to mid-sized warehouses with diverse SKUs, Geek+ provides a flexible, scalable alternative to traditional fixed automation systems and forklift-reliant processes.

iFood AI

Osasco, Brazil

iFood AI is a Brazilian technology company leveraging artificial intelligence to optimize its food delivery and marketplace platform. Their core technology centers on demand prediction and route optimization algorithms, alongside personalized recommendation systems for users. Targeting both consumers and restaurant/market partners, iFood AI aims to improve delivery efficiency and enhance user experience within Brazil’s competitive food delivery landscape.

Einride

Stockholm, Sweden

Einride develops and deploys end-to-end digital and electric freight transport solutions. Their core offering is the Pod, an autonomous, electric freight vehicle, managed by a digital freight operating system designed to optimize and automate shipping processes. Einride targets large industrial shippers and logistics providers seeking to reduce carbon emissions and improve the efficiency of their supply chains through sustainable, data-driven transportation.

Loggi

São Paulo, Brazil

Loggi is a Brazilian logistics platform that optimizes last-mile delivery services across the country. Their core technology utilizes AI-powered route optimization and delivery management to reduce costs and improve delivery times. Loggi primarily serves businesses requiring efficient and affordable shipping solutions, particularly those leveraging WhatsApp for commerce within Brazil.

Flash Group

Bangkok, Thailand

Flash Group is a Thailand-based logistics provider specializing in last-mile delivery services. While initially focused on traditional logistics, the company now leverages AI-powered solutions to optimize delivery routes, predict demand, and enhance overall operational efficiency. Their primary target market is e-commerce businesses and retailers requiring reliable and data-driven delivery solutions within Thailand and potentially expanding regionally.

Island

Dallas, United States

Island delivers a purpose-built enterprise browser designed to enhance SaaS application governance, security, and employee productivity. Their platform integrates AI-powered security features – including data loss prevention and access controls – directly into the browsing experience, eliminating the need for traditional bolt-on security solutions. Island targets enterprises seeking to improve productivity, reduce SaaS spend, and enforce zero-trust principles within a rapidly expanding cloud application landscape.

PayFit

Paris, France

PayFit is a cloud-based payroll and HR software provider specializing in automation for small and medium-sized businesses across Europe, with a current focus on the UK market. Their platform utilizes rule-based automation to handle over 90% of traditionally manual payroll tasks, including HMRC submissions and compliance requirements. PayFit differentiates itself by combining automated software with access to dedicated payroll experts, offering a solution for businesses seeking both efficiency and compliance support.

Gogoro

Taipei, Taiwan

Gogoro is a Taiwanese technology company specializing in electric two-wheel vehicle solutions and battery swapping infrastructure. Their core offering is a networked battery swapping platform—utilizing data analytics and smart station management—that enables rapid, automated battery exchange for electric scooters and motorcycles. Targeting both consumers and commercial fleets, particularly in densely populated urban environments, Gogoro aims to overcome range anxiety and accelerate the adoption of electric micro-mobility.

Druva

Santa Clara, United States

Druva is a data protection SaaS provider specializing in cloud backup and disaster recovery. Their platform leverages AI and machine learning to automate threat detection, accelerate ransomware recovery, and enhance overall cyber resilience. Druva targets organizations seeking a unified, cloud-native solution for data security and compliance across all workloads and locations.

Verkada

San Mateo, United States

Verkada provides cloud-based security solutions encompassing video surveillance, access control, and alarm systems. Their core technology centers on edge-based computer vision integrated with a centralized cloud management platform, Verkada Command, enabling features like intelligent search and real-time alerts. Verkada targets organizations of all sizes, from SMBs to large enterprises, by offering a scalable and easily managed alternative to traditional, on-premise physical security infrastructure.

Biofourmis

Boston, United States

Biofourmis is a digital health company that provides an end-to-end platform for AI-driven remote patient monitoring and care delivery. Their core technology utilizes wearable biosensors and machine learning algorithms to detect early signs of deterioration and enable proactive interventions. Biofourmis partners with health systems, payers, and life science companies to improve clinical outcomes, reduce costs, and expand access to care, particularly for patients transitioning between care settings and participating in clinical trials.

Papaya Global

New York, United States

Papaya Global provides a unified platform for automating global payroll and managing contingent workforces for large enterprises. Their core technology centralizes payments and compliance across 160+ countries, offering real-time visibility and control over international workforce operations. The platform specifically addresses the complexities of paying both employees and contingent workers globally, streamlining processes from onboarding to final payment.

Exotec

Lille, France

Exotec develops warehouse robotics systems for optimizing fulfillment operations. Their core technology is the Skypod system, utilizing autonomous robots that move on a 3D grid to rapidly access and deliver any SKU within a warehouse. Targeting large-scale retailers, 3PLs, and e-commerce businesses, Exotec offers a scalable automation solution designed to significantly increase throughput and reduce deployment times compared to traditional warehouse automation.

Ebanx

Curitiba, Brazil

Ebanx provides cross-border payment processing solutions for global companies expanding into emerging markets, particularly in Latin America, Asia, and Africa. Their platform leverages machine learning-based fraud detection and risk management alongside a robust network of direct integrations with local payment methods. Ebanx differentiates itself by simplifying regulatory compliance and offering a single integration point for accessing diverse currencies and payment options within these rapidly growing markets.

Harness

San Francisco, United States

Harness provides a unified platform automating the entire software delivery lifecycle, from development to operations. Their core technology utilizes purpose-built AI agents to intelligently manage CI/CD pipelines, testing, application security, and cloud cost optimization. Harness targets enterprise software teams seeking to accelerate release velocity and improve reliability through AI-powered automation across the SDLC.

Workato

Mountain View, United States

Workato provides an enterprise-grade Meta Control Plane (MCP) that connects AI agents to over 1,400 business applications, enabling automated workflows across the enterprise. Built on their leading Integration Platform as a Service (iPaaS), Workato’s MCP focuses on providing the contextual accuracy and security necessary for successful AI project implementation, particularly addressing the high failure rate of enterprise AI initiatives. Their solution targets large organizations seeking to reliably deploy and manage agentic AI at scale.

Cribl

San Francisco, United States

Cribl provides a data management platform specializing in IT and security telemetry. Their core technology is a data pipeline engine that allows organizations to route, transform, and reduce machine data before it reaches observability and security tools, eliminating the need for costly infrastructure changes or new agents. This enables greater flexibility and control over data pipelines, particularly as organizations scale their adoption of agentic AI and require more efficient data handling.

VAST Data

New York, United States

VAST Data provides an AI Operating System that unifies storage, database, and compute resources into a single, orchestrated platform. Built on their Disaggregated, Autonomous, Storage Engine (DASE) architecture, the system is designed to eliminate data bottlenecks and deliver terabyte-per-second performance to large-scale GPU clusters. VAST Data targets enterprises deploying demanding, data-intensive AI and agentic computing workloads, offering a solution focused on scalability, performance, and reduced total cost of ownership.

Flash Express is a leading logistics provider in Thailand specializing in last-mile parcel delivery for e-commerce businesses and individual customers. The company utilizes AI-powered route optimization and predictive analytics to enhance delivery speed and efficiency across its network. By focusing on technological innovation, Flash Express aims to provide a cost-effective and reliable delivery solution within the rapidly growing Thai e-commerce market.

Innovaccer

San Francisco, United States

Innovaccer provides a unified, AI-enabled data platform specifically for healthcare organizations. Their “AI Cloud” leverages machine learning to integrate disparate healthcare data sources, enabling improved care management, performance analysis, and ultimately, measurable improvements in patient outcomes. Innovaccer targets healthcare providers and payers seeking to optimize operations and enhance clinical and financial performance through data-driven insights.

Weka

Campbell, United States

Weka provides a high-performance data platform, NeuralMesh, designed to accelerate AI and machine learning workloads. Their technology utilizes a distributed, parallel file system to extend GPU memory by up to 1000x and significantly reduce AI response times – demonstrated by a 20x reduction in time-to-first-token. Weka targets organizations building and scaling demanding agentic AI applications, offering a solution to maximize GPU utilization and improve the economics of AI infrastructure, with deployment options including Oracle Cloud.

Pendo provides a product experience platform that unifies product analytics with digital adoption solutions for software companies. Their core offering leverages AI to deliver insights into user behavior, predict churn, and guide users through applications via in-app assistance. Pendo targets product, engineering, sales, and customer success teams seeking to improve software usability and drive measurable business outcomes across their entire software portfolio.

Pleo

Copenhagen, Denmark

Pleo is a Danish fintech company providing an AI-powered expense management solution for businesses. Their platform utilizes machine learning to automate expense reporting, categorize transactions, and enforce spending policies in real-time. Pleo targets companies of all sizes seeking to streamline financial processes, reduce administrative overhead, and improve visibility into employee spending.

Oda

Oslo, Norway

Oda is a Norwegian grocery retailer leveraging AI-powered automation to fulfill and deliver online grocery orders directly to consumers. Their core technology optimizes warehouse logistics and delivery routes to minimize costs and ensure rapid, fresh product delivery – boasting farm-to-table times as low as 12 hours for produce. Oda targets price-sensitive consumers seeking convenient home delivery, differentiating itself through low prices, a wide selection, and a focus on locally sourced fresh goods.

Lightricks

Jerusalem, Israel

Lightricks is an Israeli AI technology company developing a suite of creative tools for content creators, marketers, and professional studios. Their core offering is the “Open Creativity Stack,” a vertically integrated ecosystem of fast, efficient, and deployable AI models powering applications like Facetune and LTX Studio. Lightricks differentiates itself by focusing on open, interconnected workflows and providing both direct product integration and API access to their AI technology.

Cognite

Oslo, Norway

Cognite is a Norwegian industrial software company that provides a data operations platform designed to contextualize and operationalize data from diverse industrial sources. Their core technology focuses on scalable AI deployment, particularly through agentic tools, enabling customers to realize productivity gains and automation. Cognite targets large industrial enterprises – specifically in energy and process manufacturing – seeking to accelerate digital transformation and improve operational performance with trustworthy, unified data.

FourKites

Chicago, United States

FourKites provides real-time supply chain visibility and orchestration solutions for large enterprises. Their platform leverages a proprietary Intelligent Control Tower powered by machine learning, trained on data from over 1.1 million carriers and 200+ Fortune 500 companies, to autonomously manage routine supply chain tasks. This enables customers to move beyond reactive tracking and optimize operations without increasing headcount, focusing on strategic decision-making.

Augury

New York, United States

Augury delivers machine health monitoring solutions for industrial manufacturers, utilizing a proprietary AI platform trained on a vast dataset of machine performance data. Their core offering provides predictive maintenance and prescriptive analytics, identifying and diagnosing potential equipment failures before they occur. This enables clients to maximize production uptime, reduce maintenance costs, and improve overall operational efficiency, with reported ROI ranging from 5-20x.

Maven Clinic

New York, United States

Maven Clinic is a virtual care platform providing comprehensive women’s and family health support to employers and health plans. Utilizing a data-driven approach and on-demand access to specialists – including reproductive endocrinologists and mental health providers – Maven aims to improve health outcomes and reduce costs associated with fertility, pregnancy, and postpartum care. Their core value proposition centers on proactive, personalized support throughout all paths to parenthood, ultimately driving employee retention and lowering healthcare expenditures for organizations.

SafetyCulture

Sydney, Australia

SafetyCulture provides a mobile-first platform for operational excellence, specializing in workplace safety and compliance. Their core technology utilizes AI-powered image recognition and data analysis to automate workplace inspections and identify potential hazards. Targeting large enterprises across various industries, SafetyCulture streamlines compliance processes and improves frontline team performance through digitized workflows and customizable templates.

Feedzai

Lisbon, Portugal

Feedzai delivers an AI-native risk management platform specializing in the prevention of fraud and financial crime. Their solution utilizes behavioral analytics and machine learning to create individual risk profiles, enabling real-time detection of anomalous activity across all channels. Feedzai primarily serves banks and merchants, offering a scalable alternative to traditional fraud systems and improving Anti-Money Laundering (AML) compliance efficiency.

Sisense

New York, United States

Sisense provides an embedded analytics platform that allows businesses to integrate AI-powered data modeling, visualization, and customization directly into their products and workflows. Their technology focuses on simplifying the development of end-to-end analytics experiences with a flexible approach spanning pro-code, low-code, and no-code options. Sisense primarily serves companies looking to monetize data assets or enhance existing products with data-driven insights, reducing the need for extensive custom development.

Immuta

Boston, United States

Immuta provides data access control and governance software for enterprises managing complex data environments. Their platform utilizes automated workflows and policy enforcement to streamline data access requests, enabling self-service access while maintaining compliance with data privacy regulations. Immuta targets large organizations in regulated industries like finance, healthcare, and government seeking to accelerate data utilization and overcome bottlenecks in data access provisioning.

Zest AI

Los Angeles, United States

Zest AI provides AI-powered credit underwriting solutions for lenders, utilizing machine learning models to improve decisioning accuracy and expand access to credit. Their core technology delivers explainable AI, enabling financial institutions to automate underwriting while maintaining compliance with fair lending regulations and reducing risk. Zest AI targets banks and credit unions seeking to increase auto-decision rates, improve portfolio performance, and foster a more inclusive lending process.

Productboard

Prague, Czech Republic

Productboard is a product management software company based in the Czech Republic. Their core offering leverages AI, specifically a tool called “Spark,” to automate stakeholder communication and reporting on product roadmaps and feature prioritization. Productboard targets product management teams seeking to improve efficiency and alignment by reducing manual reporting efforts and focusing on customer-centric development.

Weights & Biases

San Francisco, United States

Weights & Biases builds a comprehensive MLOps platform centered around its core product, W&B, which provides tools for experiment tracking, hyperparameter optimization, and model versioning. Their platform distinguishes itself through robust visualization capabilities, collaborative features for team-based ML development, and integrations with popular frameworks like PyTorch, TensorFlow, and Hugging Face. W&B is widely adopted by leading AI research labs and companies – including Nvidia, OpenAI, and Stability AI – to accelerate machine learning workflows and improve model performance.

Sauce Labs

San Francisco, United States

Sauce Labs provides a cloud-based platform for automated software testing across web and mobile applications. Their core offering leverages AI-powered “Intelligent Agents” to enhance test coverage, error reporting, and overall software quality at scale. Targeting DevOps and quality assurance teams, Sauce Labs differentiates itself through access to a vast infrastructure of real devices, emulators, and browsers, combined with AI-driven insights to accelerate release cycles and improve digital experiences.

BigPanda

Mountain View, United States

BigPanda delivers an agentic IT Operations platform that automates Level 1 incident response and augments IT teams’ ability to resolve issues. Their core technology is an AI-powered IT Knowledge Graph which correlates machine data across disparate monitoring tools to surface root causes and enable proactive incident prevention. BigPanda targets enterprise IT organizations seeking to reduce alert noise, improve operational efficiency, and accelerate incident resolution through automation.

Standard AI

San Francisco, United States

Standard Cognition develops AI-powered autonomous checkout systems for retail environments. Utilizing a combination of computer vision and deep learning, their technology identifies items purchased by customers without requiring traditional scanning or self-checkout kiosks. This solution targets grocery and convenience stores seeking to reduce labor costs, minimize queues, and improve the customer experience through a seamless, grab-and-go shopping model.

Monte Carlo

San Francisco, United States

Monte Carlo provides a data observability platform specializing in monitoring and troubleshooting AI/ML pipelines, from data inputs to model outputs. Their technology focuses on identifying and resolving data quality issues that impact the reliability and trustworthiness of AI agents in production. Monte Carlo targets enterprise teams seeking to increase confidence in their AI investments and accelerate adoption by ensuring data integrity and mitigating risks associated with inaccurate or biased results.

Oxbotica

Oxford, United Kingdom

Oxbotica develops full-stack autonomous vehicle software applicable to a diverse range of vehicle types and operational environments. Their core product is a comprehensive autonomy platform—an “operating system for autonomy”—designed to accelerate the deployment of self-driving capabilities for businesses. Oxbotica targets industries like logistics, delivery, and industrial operations, offering a platform-agnostic solution to improve efficiency and reduce transportation costs through autonomous mobility.

Covariant

Emeryville, United States

Covariant develops AI-powered robotic automation solutions for warehouse and logistics environments. Their core technology is the Robotics Foundation Model (RFM-1), a universal AI trained on a large dataset of warehouse robotics data, enabling robots to handle a wide variety of SKUs without specialized programming. Covariant targets large retailers and logistics providers seeking to improve operational flexibility and address labor challenges through adaptable, AI-driven automation.

Sentry

San Francisco, United States

Sentry provides application performance monitoring and error tracking software for software development teams. Their platform utilizes AI-powered error analysis and tracing to pinpoint the root cause of application issues – from specific code commits to slow database queries – across the entire application stack. Targeting DevOps and development teams, Sentry streamlines debugging workflows and facilitates faster issue resolution with integrations for popular development tools like Slack, Jira, GitHub, and more.

People.ai

San Francisco, United States

People.ai is a US-based Revenue Intelligence platform that utilizes custom AI Agents to analyze sales activities across a company’s GTM tech stack. Their platform unifies pipeline management and forecasting, providing data-driven insights into deal health and account strategies. People.ai targets sales and revenue teams in organizations seeking to improve forecasting accuracy, increase win rates, and drive repeatable revenue growth.

Starship Technologies

San Francisco, United States

Starship Technologies develops and deploys fleets of fully autonomous, ground-based robots for last-mile delivery. Utilizing a combination of radar, cameras, sensors, and machine learning, these robots navigate sidewalks and roads to deliver groceries, food, and industrial supplies. Starship targets campuses, grocery retailers, and industrial sites, offering a cost-effective and sustainable alternative to traditional delivery methods with a demonstrated track record of over 9 million deliveries across 270+ locations.

Versa Networks

Santa Clara, United States

Versa Networks delivers a unified SASE platform, VersaONE, that converges networking and security capabilities for organizations of all sizes. Their core technology, VersaAI, utilizes built-in AI and comprehensive network telemetry to automatically identify, predict, and resolve network performance and security issues in real-time. This allows Versa Networks to offer businesses a simplified, Zero Trust approach to secure connectivity across all edges of their network – from data center to cloud to end-user devices.

Zego

London, United Kingdom

Zego is a UK-based InsurTech company providing commercial motor insurance solutions. They leverage app-based telematics and data analytics to offer flexible, usage-based policies primarily targeting the growing gig economy and businesses with variable driving needs. This approach allows Zego to offer competitive pricing and incentivize safer driving habits through personalized insurance coverage.

Labelbox

San Francisco, United States

Labelbox provides a comprehensive data factory platform enabling organizations to build and operationalize high-quality training data for AI models. Their core technology centers on software and services for data labeling, data generation, and model evaluation, with a focus on advancements like Reinforcement Learning with Verifiable Rewards (RLVR). Labelbox targets AI teams requiring scalable, standardized, and scientifically rigorous data pipelines to accelerate the development and deployment of computer vision and NLP applications.

Fountain

San Francisco, United States

Fountain provides an operating system for managing hourly frontline workforces, integrating recruiting, onboarding, scheduling, and retention into a single platform. Their core technology utilizes AI-powered agents to automate tasks like candidate sourcing, screening, and scheduling, reducing time-to-hire and administrative burden. Fountain targets large enterprises with significant hourly workforces, offering a solution to improve efficiency and reduce employee churn within these critical roles.

Knewton

New York, United States

Knewton develops Knewton Alta, adaptive courseware utilized in higher education and focused on introductory college courses like math and statistics. Alta leverages continuous proficiency assessment to deliver personalized learning paths, providing students with targeted practice and remediation based on individual performance. This technology aims to lower the cost of course materials while improving student outcomes through data-driven insights for instructors and accessible, adaptive content.

Swvl

Cairo, Egypt

Swvl is an Egypt-based mobility company providing end-to-end transportation solutions for businesses and individuals. They leverage AI-powered route optimization and fleet management technology to deliver efficient and reliable shared commuting services, including corporate shuttles and school transportation. Swvl targets organizations seeking to improve employee commutes and logistics providers aiming to optimize transit operations within densely populated urban environments.

Riiid

Seoul, South Korea

Here's a company description for Riiid, based on the provided information: Riiid is a South Korean EdTech company specializing in AI-powered personalized learning. Their core product, Socra AI, utilizes deep learning algorithms to analyze student knowledge gaps and deliver adaptive test preparation content. Riiid targets students preparing for standardized tests, offering a uniquely data-driven approach to improve learning outcomes and test performance.

Halter

Auckland, New Zealand

Halter develops precision livestock management technology for dairy farms, utilizing solar-powered, GPS-enabled collars to create virtual fences and monitor animal behavior. Their system transmits data via a localized network, eliminating the need for cellular coverage, and provides farmers with real-time insights into grazing patterns, animal health, and heat detection via a mobile application. This allows for optimized pasture management, improved animal welfare, and increased farm productivity without the infrastructure costs of traditional fencing.

GreyOrange

Atlanta, United States

GreyOrange provides AI-driven software and robotics solutions for warehouse and store fulfillment operations. Their core product, GreyMatter, is a vendor-agnostic orchestration platform that uses AI to optimize the deployment of robots, automated systems, and human workers. GreyOrange targets large retailers and third-party logistics providers seeking to improve fulfillment efficiency and realize a return on investment from their existing automation infrastructure.

Tricentis

Vienna, Austria

Tricentis is a software quality platform provider specializing in comprehensive test automation, performance testing, and test management solutions for large enterprises. Their core technology is an “agentic AI” platform—recognized as a Leader by Gartner—that autonomously orchestrates testing across diverse applications, infrastructure, and AI models. Tricentis targets organizations seeking to accelerate software delivery and improve quality through AI-driven automation and end-to-end visibility, particularly those with complex, multi-application landscapes.

Phenom

Philadelphia, United States

Phenom is a US-based HR technology company offering a single platform for managing the entire employee lifecycle, from recruitment to retention. Their core product, the Intelligent Talent Experience platform, utilizes AI and machine learning to automate tasks, personalize experiences, and improve talent acquisition and development outcomes. Phenom targets large enterprises seeking to enhance efficiency and data-driven decision-making across their HR functions.

Tecton

San Francisco, United States

Tecton provides a feature platform that enables enterprises to reliably operationalize machine learning models. Their core technology is a centralized feature store, allowing data science teams to define, manage, and serve real-time and historical features for training and inference. Tecton targets data science and ML engineering teams within larger organizations seeking to accelerate model deployment and ensure feature consistency across the ML lifecycle, particularly those already leveraging data platforms like Databricks.

Squirrel AI

Shanghai, China

Squirrel AI is a China-based EdTech company developing and deploying AI-powered adaptive learning systems for K-12 students. Their core technology, the Learning Action Map (LAM), utilizes a vast dataset of student learning behaviors to personalize educational pathways and improve question accuracy. Squirrel AI delivers this personalized learning experience through physical learning centers and smart-learning tablets, targeting students seeking supplemental education and individualized instruction.

GoodData

San Francisco, United States

GoodData is a US-based platform provider specializing in embedded, agentic AI for business intelligence. Their composable data intelligence platform enables developers to rapidly build and deploy custom AI applications and automated workflows directly within existing applications. GoodData targets businesses seeking to enhance their offerings with AI-driven insights and automation, particularly those prioritizing developer control and scalable performance.

Electric AI

New York, United States

Electric AI provides a unified IT management platform for small and medium-sized businesses, integrating cybersecurity, device management, and application access. Their platform leverages AI-driven recommendations for security solutions – including anti-virus and data backup – and proactively monitors for threats. By syncing with HR systems, Electric aims to streamline IT operations and provide a single pane of glass for managing the entire employee IT lifecycle, requiring no specialized technical expertise.

Mujin

Tokyo, Japan

Mujin develops MujinOS, a robotics operating system enabling fully automated industrial processes through advanced motion planning and control. The company’s technology allows for the deployment of heterogeneous robot fleets – including arms and AMRs – without traditional programming, addressing complex picking, packing, and palletizing tasks. Targeting manufacturers and logistics providers, Mujin aims to establish a global standard for physical automation and accelerate the adoption of fully automated factories and warehouses.

Whatfix

San Jose, United States

Whatfix provides a digital adoption platform that utilizes its proprietary AI technology, ScreenSense, to deliver contextual, in-app guidance and training. ScreenSense intelligently analyzes user workflows within desktop, web, and mobile applications to dynamically offer step-by-step support and hands-on simulations. This solution targets enterprises seeking to improve software proficiency, increase user adoption of critical applications, and maximize ROI on existing software investments.

OctoML

Seattle, United States

OctoML (now OctoAI) optimizes and deploys machine learning models for efficient inference across diverse hardware, with a particular focus on maximizing performance on NVIDIA’s GPUs and infrastructure. Their core technology automates the process of adapting models to run optimally on specific hardware, enabling faster training and deployment of large, complex models like those utilizing mixture-of-experts architectures. This benefits organizations developing and deploying cutting-edge AI applications requiring high throughput and accuracy, particularly in areas like generative AI and robotics.

Kinexon

Munich, Germany

Kinexon is a German technology company specializing in real-time location and motion analytics for industrial applications. Their core product, the KINEXON OS platform, integrates Ultra-Wideband (UWB), Bluetooth Low Energy (BLE), and RFID technologies to provide precise tracking and management of assets, including Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs). Kinexon targets manufacturing, logistics, and aviation industries, offering a vendor-independent solution to optimize operations, prevent downtime, and improve supply chain efficiency through real-time data and AI-powered diagnostics.

Konux

Munich, Germany

Konux is a German technology company specializing in AI-powered asset management for railway infrastructure. Their core product, Asset Notes, integrates field data – including inspection reports and technician feedback – with IoT sensor data and AI analytics to create a comprehensive digital asset history. This solution targets railway operators and maintenance teams, enabling data-driven decision-making for predictive maintenance and improved operational efficiency.

Mode Analytics

San Francisco, United States

Mode Analytics provides a collaborative data platform that unifies SQL, Python, and R-based analysis with visual analytics tools. Their platform enables data teams to rapidly develop and deploy analytical insights while simultaneously empowering business users with self-service reporting capabilities. Mode targets data-driven organizations seeking to accelerate analytical workflows and improve cross-functional collaboration around data assets, without requiring rigid data modeling or extensive implementation.

Ocrolus

New York, United States

Ocrolus provides AI-powered document analysis and automation solutions specifically for the lending industry. Their platform utilizes machine learning to extract and analyze data from financial documents – including bank statements, pay stubs, and tax forms – delivering enhanced credit risk assessment and fraud detection. Ocrolus targets lenders across verticals like auto finance, consumer lending, and tenant screening, enabling faster, more accurate underwriting decisions and improved borrower experiences.

Run:AI

Tel Aviv, Israel

NVIDIA Run:ai provides a GPU virtualization and orchestration platform that enables enterprises to efficiently scale AI and machine learning workloads across hybrid and multi-cloud environments. Their technology dynamically allocates GPU resources, maximizing utilization and reducing infrastructure costs throughout the entire AI lifecycle – from development to deployment. Run:ai targets organizations with significant GPU infrastructure and demanding AI compute needs, offering a solution to optimize resource management and accelerate AI initiatives.

Darwinbox

Hyderabad, India

Darwinbox is an India-based HR technology company providing an end-to-end Human Capital Management (HCM) platform for large enterprises. Their platform leverages AI and machine learning to automate core HR processes – including recruitment, performance management, and compensation – and deliver people analytics insights. Darwinbox differentiates itself by focusing on agility and employee experience, serving organizations seeking a modern, adaptable HCM solution.

Petuum

Pittsburgh, United States

Petuum develops an end-to-end Machine Learning platform, Petuum Platform, specializing in scalable deployment of AI models for industrial applications. Their technology focuses on AutoML and edge computing to optimize complex processes like predictive maintenance and quality control. Petuum targets manufacturers and large enterprises seeking to improve operational efficiency and reduce downtime through on-site AI implementation.

Featurespace

Cambridge, United Kingdom

Featurespace provides real-time fraud and financial crime prevention solutions to the financial services industry. Their core product, the ARIC™ Risk Hub, utilizes adaptive behavioral analytics and machine learning to model and identify anomalous individual customer behavior. Deployed globally, ARIC™ enables financial institutions, payment processors, and insurers to proactively detect and mitigate risk with a focus on individual-level change identification.

Upstream Security

Herzliya, Israel

Upstream Security provides a cloud-based cybersecurity and quality monitoring platform specifically for connected and software-defined vehicles. Utilizing AI and machine learning, their agentless platform ingests and analyzes vehicle data from multiple sources to detect both cyber threats and potential component failures. This solution targets automotive manufacturers and mobility service providers seeking to proactively manage cybersecurity risks and reduce warranty/recall costs at scale.

Altana AI

New York, United States

Altana AI provides a network-based platform that leverages machine learning to map and analyze complex, multi-tier supply chains. Their core technology unifies product and trade data, enabling businesses to enhance supply chain resilience and compliance while simultaneously providing governments with tools for trade enforcement and economic security. Altana targets both private sector companies seeking to optimize cross-border trade and public sector entities focused on supply chain visibility and regulatory oversight.

Drishti

Mountain View, United States

Here's a company description for Drishti, based on the provided information: Drishti provides real-time computer vision analysis for discrete manufacturing assembly lines. Their platform utilizes AI to track and understand manual assembly processes, identifying deviations from standard work and providing actionable insights to improve quality and efficiency. Drishti targets manufacturers seeking to reduce defects, enhance productivity, and standardize complex manual operations without relying on traditional, costly automation.

Appen

Sydney, Australia

Appen provides comprehensive data solutions for the artificial intelligence lifecycle, specializing in the collection, annotation, and curation of high-quality training data. Their core offering is a customizable platform and services suite designed to deliver scalable, auditable datasets crucial for developing and refining both foundation and enterprise-level AI models, with a particular focus on supporting generative AI applications. Appen targets enterprises seeking to reliably deploy AI by addressing the critical need for trustworthy and diverse training data at scale.

LayerX

Tokyo, Japan

LayerX is a Japanese AI company specializing in the digitization of economic activity through two core offerings: the “Bakuraku” AI SaaS platform and AI DX services delivered via “Mitsui & Co. Digital Asset Management.” Bakuraku utilizes AI-powered document processing and robotic process automation (RPA) to streamline back-office operations. LayerX targets enterprises seeking to improve efficiency and reduce costs through comprehensive digital transformation solutions, particularly those with complex document workflows.

Aquant

New York, United States

Aquant provides agentic AI solutions for field service organizations, specializing in complex equipment maintenance and repair. Their platform utilizes AI agents to deliver real-time, contextual guidance to service technicians and proactively address potential issues, integrating with existing service tools. Aquant primarily targets medical device manufacturers and field service providers seeking to improve equipment uptime, reduce service costs, and enhance operational efficiency – demonstrated by a reported 39% faster resolution time for users.

HireVue

South Jordan, United States

HireVue is a US-based HR technology company providing an end-to-end hiring platform leveraging AI-powered video interviewing and assessment tools. Their core product, Virtual Job Tryouts, utilizes predictive analytics to evaluate candidate skills and predict job performance based on realistic job simulations. HireVue targets large enterprises seeking to streamline high-volume hiring, reduce bias, and improve the quality of their talent acquisition through data-driven insights.

Locus

Bangalore, India

Locus is an Indian logistics technology company that provides an end-to-end platform for enterprises to optimize their order-to-delivery operations. Their core offering utilizes AI-powered route optimization and automation software to manage both captive and outsourced fleets, integrating with existing TMS, OMS, WMS, and ERP systems via API. Locus primarily serves large retailers, CPG/FMCG manufacturers, and multi-brand businesses seeking to reduce logistics costs and improve delivery efficiency across diverse fulfillment models.

Cogent Labs

Tokyo, Japan

Cogent Labs is a Japanese AI company specializing in document processing and data automation solutions. Their core product, SmartRead, utilizes advanced OCR and NLP to extract and organize data from paper and image-based documents, offering services ranging from digitization to searchable PDF delivery. Cogent Labs targets Japanese businesses facing labor shortages and seeking to improve productivity through automated document workflows and streamlined information management.

Dagster

San Francisco, United States

Dagster provides a data orchestrator platform for building, scheduling, and monitoring data pipelines used in machine learning and data engineering. Their platform utilizes a data asset-centric approach, enabling teams to model, catalog, and track data throughout its lifecycle – from source to consumption – with built-in lineage and cost monitoring. Dagster targets data and ML teams seeking improved pipeline reliability, collaboration, and visibility across their entire data stack, particularly those utilizing modern data engineering workflows and cloud-based data warehouses like Snowflake and S3.

Tractian

Sao Paulo, Brazil

Tractian delivers an industrial AI platform focused on predictive maintenance and asset health monitoring for manufacturing and industrial facilities. Their core technology utilizes vibration analysis and machine learning to identify equipment anomalies and predict potential failures, integrating with existing CMMS systems. Tractian targets industrial maintenance teams and reliability engineers seeking to minimize downtime, optimize operational efficiency, and improve overall asset performance through data-driven insights.

Splice Machine

San Francisco, United States

Splice Machine develops a fully-managed, distributed SQL database designed for operational machine learning applications. Their platform uniquely combines relational database capabilities with embedded machine learning algorithms, eliminating the need for separate data pipelines and feature stores. This allows businesses in industries like financial services and manufacturing to deploy and scale AI-powered applications directly within their core transactional systems for real-time decision-making.

Rasa

Berlin, Germany

Rasa is a German-based company providing an open-source conversational AI platform for building scalable and customized AI agents. Their platform extends Large Language Models (LLMs) with proprietary business logic, enabling enterprises to deploy reliable, high-performance agents across multiple channels. Rasa primarily targets enterprise teams seeking full control and customization over their conversational AI, particularly for complex use cases like customer service and support where scalability and integration with existing systems are critical.

Arago

Frankfurt, Germany

Arago, now operating as Almato, develops Bardioc, a semantic data platform that leverages knowledge graph technology to automate IT and enterprise operations. The platform ingests and models organizational data to deliver actionable insights and recommendations, particularly for provisioning and base configuration tasks. Almato primarily targets governments and highly regulated industries seeking to improve operational efficiency through data-driven automation.

Fiddler AI

Palo Alto, United States

Fiddler AI provides an AI observability platform specializing in the monitoring and analysis of machine learning models, including those powering large language models and AI agents. Their technology focuses on explainability and performance management, identifying and resolving issues like model drift and bias in production environments. Fiddler targets enterprises deploying AI at scale who require robust monitoring and governance to ensure reliable and responsible AI applications.

Prefect

Washington DC, United States

Prefect is a workflow orchestration platform that enables reliable automation of data, machine learning, and agent-based workflows. Their core technology centers on a Python-native workflow engine allowing users to run existing code without requiring specialized languages or rigid DAG structures. Prefect targets data science and engineering teams seeking a unified control plane to manage and scale complex, context-aware workflows – including those leveraging large language models – from experimentation to production.

Lean Technologies

Riyadh, Saudi Arabia

Lean Technologies is a Saudi Arabian fintech company providing open banking APIs that enable secure data exchange and payment processing for financial institutions and fintechs across the Middle East and North Africa (MENA) region. Their platform utilizes AI-driven data enrichment to standardize and categorize financial data, facilitating services like account verification, income assessment, and streamlined payments. Lean targets banks and fintech companies seeking to build and scale innovative financial products by leveraging reliable and accessible banking infrastructure.

Sama

San Francisco, United States

Sama provides data annotation and model evaluation services specializing in computer vision and generative AI applications. They combine human expertise with proprietary AI-assisted tooling to deliver high-quality training data, accelerating model development and reducing costs for their clients. Sama primarily serves large technology companies, including 40% of FAANG businesses, and distinguishes itself through a commitment to ethical AI sourcing and a focus on rapid iteration and data governance.

Quizlet

San Francisco, United States

Quizlet is an EdTech company that leverages AI-powered adaptive learning technology within its platform of digital flashcards and study tools. Their core offering, Q-Chat, functions as an AI tutor providing personalized explanations and practice, while the platform dynamically adjusts study materials based on individual student performance. Quizlet primarily serves students and teachers across all educational levels, aiming to improve comprehension and learning outcomes through accessible, AI-driven study aids.

Spot AI

San Francisco, United States

Spot AI delivers AI-powered video intelligence solutions for enterprises seeking to improve safety, security, and operational efficiency. Their platform analyzes existing or provided camera feeds to automatically detect and alert on critical events, converting footage into actionable insights and triggering automated responses. Spot AI targets organizations with large physical spaces – like industrial facilities and campuses – by offering a scalable alternative to traditional, manual video monitoring.

Arize AI

Berkeley, United States

Arize AI provides a unified platform for monitoring and evaluating Large Language Model (LLM) applications, from development through production deployment. Their technology focuses on LLM observability and agent evaluation, offering tools to analyze performance, identify issues, and close the feedback loop between development and real-world data. Arize AI targets organizations building and scaling AI applications, enabling data-driven iteration and improved reliability at scale.

Buildots

Tel Aviv, Israel

Buildots is an Israel-based construction technology company that utilizes computer vision and AI-powered analysis of 360° site imagery to automatically track construction progress against planned schedules. Their core product delivers a real-time, data-driven dashboard and predictive delay forecasting, enabling project managers to identify and mitigate potential issues before they impact timelines. Buildots targets large-scale construction and engineering firms seeking to improve project predictability, resource allocation, and overall on-time delivery performance.

Baseten

San Francisco, United States

Baseten provides a cloud infrastructure platform specializing in high-performance model serving for machine learning applications. Their core offering is the “Baseten Inference Stack,” designed to optimize and scale open-source and custom AI models for production environments. Baseten targets developers and businesses requiring low-latency, reliable inference at scale, offering a streamlined deployment process and infrastructure optimized for speed and availability.

Arthur AI

New York, United States

Arthur AI provides a comprehensive AI delivery platform focused on monitoring, governance, and continuous evaluation of machine learning models, including generative AI and agentic systems. Their core technology is a model-agnostic “AI Delivery Engine” that offers built-in guardrails and performance tracking across the entire AI lifecycle. Targeting organizations deploying AI at scale, Arthur AI enables reliable and secure AI applications with flexible deployment options including SaaS, on-premise, and major cloud integrations.

Lightning AI

New York, United States

Lightning AI provides a cloud-based platform for the full AI development lifecycle, from coding and prototyping to training, scaling, and serving models. Built by the creators of the open-source PyTorch Lightning framework, their platform simplifies AI development by offering a zero-setup, browser-based environment. Lightning AI targets machine learning engineers and data scientists seeking to accelerate model development and deployment without infrastructure management.

RightHand Robotics

Somerville, United States

RightHand Robotics develops robotic piece-picking solutions for order fulfillment, utilizing a proprietary AI and computer vision system to identify and manipulate individual items. Their technology enables warehouses and e-commerce fulfillment centers to automate the handling of diverse, unstructured goods – a traditionally labor-intensive process. This allows customers to increase throughput and reduce labor costs associated with high-volume, single-item order fulfillment.

Lepton AI

San Francisco, United States

Lepton AI provides a serverless inference platform for deploying and scaling AI models. Their core technology is a container-native runtime optimized for high-throughput, low-latency prediction serving, supporting popular frameworks like TensorFlow, PyTorch, and ONNX. Lepton AI targets machine learning engineers and data science teams needing a cost-effective and scalable solution for productionizing models without managing infrastructure.

Linear

San Francisco, United States

Linear is a software project management and issue tracking platform designed for product development teams. Their core offering utilizes AI-powered agents to automate routine tasks like code generation and issue assignment, integrating with tools like ChatGPT and Claude. Linear targets both startups and established enterprises seeking to improve development velocity and streamline workflows through AI-assisted project organization.

AIRS Medical

Seoul, South Korea

AIRS Medical is a South Korean company specializing in AI-powered medical imaging solutions for accelerated MRI scans. Their core product, SwiftMR™, utilizes deep learning-based image reconstruction to significantly reduce scan times while maintaining diagnostic image quality, as demonstrated by wins in the 2019 & 2020 Facebook/NYU Langone Health fastMRI Challenges. AIRS Medical targets radiology practices and healthcare providers seeking to improve MRI efficiency, reduce patient wait times, and enhance diagnostic capabilities, particularly in neurological applications like epilepsy detection.

Robovision

Ghent, Belgium

Robovision provides a comprehensive computer vision AI platform focused on industrial applications. Their platform enables users to label, train, deploy, and monitor custom vision models with tools for data management, hyperparameter tuning, and scalable deployment options – including edge deployment via their “Agent.” Robovision targets industrial companies seeking to integrate reliable, repeatable computer vision into their machines for quality inspection and automation, while retaining full control of their intellectual property and data.

Theator

Palo Alto, Israel

Theator is an Israeli company developing a surgical intelligence platform that utilizes proprietary computer vision and machine learning algorithms to analyze surgical video in real-time. Their technology provides data-driven insights to hospitals and surgical teams, aiming to improve procedural performance and standardize care. Theator targets the healthcare market by offering a tool for objective surgical assessment and continuous improvement initiatives.

Predibase

San Francisco, United States

Predibase is an enterprise AI platform specializing in the operationalization of Large Language Model (LLM) powered agents. Their core technology, Rubrik Agent Cloud, provides monitoring, governance, and a unique “rewind” capability allowing businesses to revert unintended agent actions without data loss or operational disruption. Predibase targets enterprises seeking to deploy and manage AI agents at scale while maintaining control, auditability, and risk mitigation.

Kognic

Gothenburg, Sweden

Kognic is a Swedish AI company providing a data platform specifically for the development of autonomous vehicle systems. Their core technology facilitates the scalable integration of human-in-the-loop feedback for complex annotation tasks beyond basic perception, including trajectory ranking and multimodal data grounding. Kognic targets autonomous vehicle developers seeking to improve model performance through high-volume, high-quality training data while maintaining safety and compliance.

6 River Systems

Waltham, United States

6 River Systems (now part of Ocado Group) develops and deploys autonomous mobile robot (AMR) systems for warehouse fulfillment. Their Ocado Mobile Robot System (OMRS) utilizes AI-powered software and a fleet of collaborative robots – including the Chuck person-to-goods cart and Porter pallet mover – to orchestrate and automate tasks across the entire warehouse operation. OMRS targets businesses seeking to improve warehouse efficiency, reduce labor dependency, and scale fulfillment operations through flexible and rapidly deployable automation.

Pachyderm

San Francisco, United States

Here's a company description for Pachyderm, based on the provided information: Pachyderm provides a data lineage and pipeline automation platform for machine learning development. Utilizing a containerized, data versioning system built on Apache Kafka and cloud storage, Pachyderm enables reproducible and scalable ML pipelines. The platform targets data science and ML engineering teams requiring robust data governance and automated pipeline management for complex model development and deployment.

Diligent Robotics

Austin, United States

Diligent Robotics develops autonomous mobile robots for healthcare, specializing in logistical support within hospital environments. Their core product, Moxi, navigates hospitals to deliver supplies – including medications and lab samples – automating routine tasks traditionally performed by nurses and other staff. This allows hospitals to improve operational efficiency, reduce costs, and free up clinical personnel to focus on direct patient care, with deployments demonstrating significant time savings and improved workflows.

ArmorCode

Palo Alto, United States

ArmorCode provides a unified exposure management platform that aggregates and prioritizes vulnerabilities across an organization’s entire technology stack – applications, code, cloud, and infrastructure. Utilizing AI-driven analysis, the platform moves beyond traditional vulnerability scanning by correlating findings and ranking risks based on business impact, enabling DevSecOps teams to focus remediation efforts on the most critical issues. ArmorCode targets organizations with substantial development teams (supporting 215,000+ developers) seeking to improve vulnerability management efficiency and reduce risk without replacing existing security tools.

TruEra

Redwood City, United States

TruEra provides AI observability solutions for monitoring, testing, and managing the quality of machine learning models throughout their lifecycle. Their platform focuses on both traditional predictive AI and Large Language Models (LLMs), offering specialized observability for each. TruEra targets organizations implementing MLOps and LLMOps seeking to mitigate risks and ensure reliable performance of their AI deployments, and is now a part of Snowflake.

Kheiron Medical

London, United Kingdom

Kheiron Medical Technologies, now part of DeepHealth, develops AI-powered solutions for breast cancer screening. Their core product, Mia™, utilizes deep learning to assist radiologists in mammogram analysis, functioning as a triage tool, independent reader, or concurrent reader within existing workflows. This technology aims to improve diagnostic accuracy and efficiency for breast cancer detection, ultimately enhancing patient care within diagnostic imaging centers.

Seldon

London, United Kingdom

Seldon is a UK-based company specializing in the deployment and scaling of machine learning models in production environments. Their core product is a Kubernetes-native platform that simplifies the complexities of real-time AI inference for data-critical applications. Seldon targets enterprises requiring scalable and reliable model serving for use cases such as search, fraud detection, and recommendation systems, helping them reduce the costs associated with production AI.

Lambda Labs

San Francisco, United States

Lambda Labs is a US-based provider of GPU cloud infrastructure and hardware specifically designed for demanding deep learning workflows. They offer on-demand access to high-performance GPUs, including the NVIDIA B200 and H100, through cloud instances, private cloud deployments, and dedicated workstations. Lambda Labs targets AI researchers and organizations requiring scalable and cost-effective solutions for model training and inference.

Parabola

San Francisco, United States

Parabola is a US-based company offering a no-code workflow automation platform for operations and finance teams. Their technology utilizes AI-powered data extraction and transformation to consolidate and reconcile data from disparate sources like PDFs, emails, and spreadsheets – specifically addressing challenges in three-way matching, PO tracking, and inventory management. Parabola targets businesses seeking to automate manual data processes and improve accuracy in operational and financial workflows without requiring coding expertise.

Osaro

San Francisco, United States

Osaro develops AI-powered robotic systems for warehouse automation, specializing in piece-picking, kitting, and depalletizing applications. Their core technology is SightWorks, a perception platform utilizing deep learning and behavioral cloning – now integrated with NVIDIA’s GR00T – to enable robots to adapt to high SKU variability and dynamic environments. Osaro targets e-commerce fulfillment and logistics companies seeking to improve operational speed and reduce downtime through flexible, rapidly deployable robotic solutions.

LogRocket

Boston, United States

LogRocket is a product analytics platform that utilizes AI-powered session replay to identify and surface critical user experience issues. Their core product, Galileo AI, passively observes user sessions to proactively detect friction points impacting conversion and engagement. LogRocket targets software development and product teams seeking a more efficient and data-driven approach to understanding user behavior and improving digital product performance, regardless of technology stack.

Leena AI

San Francisco, United States

Leena AI delivers an AI-powered virtual employee assistant specializing in automating back-office support functions. Their core product is an AI agent capable of resolving employee queries across IT, HR, and Finance through conversational interfaces. Leena AI targets large enterprises seeking to reduce support ticket volume and improve employee productivity by streamlining internal service delivery.

Roboflow

Des Moines, United States

Roboflow is a US-based computer vision platform providing a comprehensive suite of tools for the entire model lifecycle. Their core offering is a cloud-based platform that streamlines dataset management, automated annotation, and model training, deployment, and monitoring. Roboflow targets developers and enterprises seeking to accelerate computer vision projects by reducing the operational complexity typically associated with data preparation and ML Ops.

Druid AI

Bucharest, Romania

Druid AI is an enterprise AI platform specializing in agentic AI orchestration. Their core product, “Conductor,” integrates diverse AI agents and platforms to automate complex business processes, moving beyond simple chatbot interactions. Druid targets global enterprises seeking to streamline workflows and reduce manual effort through a centrally managed and secure AI ecosystem.

Hopsworks

Stockholm, Sweden

Hopsworks is a Swedish AI infrastructure provider specializing in a modular AI Lakehouse platform with a high-performance feature store. Their core technology, built around the real-time database RonDB, delivers sub-millisecond latency for feature retrieval and supports diverse data sources, frameworks, and deployment environments – including on-premises and cloud solutions. Hopsworks targets data science and machine learning teams seeking to streamline model development, reduce infrastructure costs, and accelerate time-to-deployment with a reusable feature set.

Alice Technologies

Menlo Park, United States

Alice Technologies provides AI-powered software that optimizes construction schedules and mitigates project risk. Their platform utilizes advanced simulation algorithms to analyze millions of potential construction sequences based on uploaded schedules (P6, MSP) and project drawings, identifying opportunities for increased efficiency and cost reduction. Targeting owners, contractors, and consultants, ALICE delivers data-driven insights to proactively address delays and optimize project delivery across schedule, cost, and scope.

Peltarion

Stockholm, Sweden

Here's a company description for Peltarion, based on the provided information: Peltarion is a Swedish company offering a full-stack operational AI platform designed for enterprise deployment of deep learning models. Their platform uniquely focuses on enabling companies to build, operationalize, and manage AI at scale, without requiring extensive in-house machine learning expertise. Peltarion targets industrial companies and businesses seeking to integrate AI into core operations, particularly those with limited data science resources.

Wallaroo.AI

Seattle, United States

Wallaroo.AI delivers a platform for deploying and managing machine learning models directly on edge devices. Their core technology is a containerized, Kubernetes-native infrastructure optimized for low-latency inference and resource constraints typical of edge environments. This solution targets enterprises seeking to operationalize AI applications – such as computer vision and predictive maintenance – where cloud connectivity is limited or undesirable.

Micropsi Industries

Berlin, Germany

Micropsi Industries develops AI-powered computer vision software, MIRAI, for industrial robots. MIRAI enables reliable and adaptable automation in dynamic factory environments by handling variance in factors like object position, appearance, and lighting – a capability exceeding traditional computer vision systems. Their technology targets manufacturers seeking to improve productivity and quality in complex tasks like leak testing and precision assembly, as demonstrated by key partnerships with companies like BSH Hausgeräte GmbH and DEPRAG.

Nomagic

Warsaw, Poland

Nomagic develops AI-powered robotic arms specializing in pick-and-place automation for warehouse and logistics environments. Their core product, the justPack solution, utilizes computer vision and machine learning to enable flexible and scalable order fulfillment. Nomagic targets companies seeking to increase efficiency and adapt to fluctuating demand within their warehousing and logistics operations.

Qwak

Tel Aviv, Israel

Qwak, now operating as JFrog ML, provides a comprehensive MLOps platform for the end-to-end lifecycle of machine learning models, including Generative AI and Large Language Models. Their platform centralizes model development, deployment, and monitoring with features like automated training, scalable inference options, and dedicated LLM observability tools – including prompt management and workflow tracing. Qwak targets data science and machine learning engineering teams seeking to accelerate and reliably scale AI applications from prototype to production.

WhyLabs

Seattle, United States

WhyLabs was a US-based company that provided AI observability and data monitoring solutions for machine learning systems. Their core offering focused on detecting and preventing issues related to data quality, model performance, and responsible AI practices. While the company has ceased operations, WhyLabs contributed to the field through open-source initiatives and aimed to serve organizations prioritizing the reliability and ethical deployment of AI.

Cornershop (Uber)

Santiago, Chile

Cornershop, a subsidiary of Uber, operates a same-day delivery platform specializing in grocery and specialty retail. Their core technology utilizes AI-powered route optimization and personal shopper assignment to fulfill orders from a network of local stores. Targeting consumers seeking convenient grocery and retail delivery, Cornershop differentiates itself through its personal shopper model and focus on supporting local businesses within Chile and select North American markets.

Infermedica

Wroclaw, Poland

Infermedica is a Polish AI company developing a clinically-validated symptom assessment and triage platform. Their core technology utilizes a knowledge graph and machine learning to analyze patient-reported symptoms and guide them to the appropriate level of care, ranging from self-care to specialist consultation. Infermedica targets healthcare providers, health systems, and insurance companies seeking to improve care navigation, reduce operational costs, and expand access to care, particularly for remote or underserved populations.

Locofy

Singapore, Singapore

Locofy is a design-to-code platform that automates the conversion of UI designs from tools like Figma into clean, production-ready React, Next.js, and mobile code. Utilizing a proprietary AI model trained on design patterns and code structures, Locofy accelerates front-end development workflows. Their primary target market is web and mobile development teams seeking to reduce manual coding efforts and improve design-to-deployment velocity.

Instabug

Cairo, Egypt

Instabug, operating out of Egypt, provides a mobile observability platform called Luciq that leverages agentic AI to automate bug detection, diagnosis, and resolution. Luciq moves beyond traditional monitoring by proactively identifying and fixing issues before users report them, reducing development overhead and improving app stability. Their target market is mobile app development teams seeking to enhance app quality and accelerate release cycles through AI-driven automation.

SuperAnnotate

Sunnyvale, United States

SuperAnnotate is a data annotation platform specializing in tools for computer vision model training. Their core technology provides a feedback-driven pipeline for creating and evaluating high-quality training data, focusing on iterative improvement and quality control. The platform targets machine learning teams across diverse industries requiring robust and accurate labeled datasets for image and video-based AI applications.

Century Tech

London, United Kingdom

Here's a company description for Century Tech, based on the provided information: Century Tech develops a machine learning-powered platform that delivers personalized learning pathways for K-12 students. Utilizing a neural network to analyze student performance data, the platform dynamically adjusts content difficulty and focuses on individual knowledge gaps. This allows schools to efficiently address diverse learning needs and improve student outcomes through data-driven instruction.

Integrate.ai

Toronto, Canada

Integrate.ai is a Canadian company specializing in federated learning solutions for enterprises seeking to collaborate on data without data transfer. Their platform enables secure data science workflows by allowing organizations to evaluate models and gain insights from distributed datasets while maintaining complete data privacy and control – no raw data ever leaves the source. This technology primarily serves businesses in regulated industries or those prioritizing data security, accelerating proof-of-concept projects and reducing the costs associated with data collaboration.

Relevance AI

Sydney, Australia

Relevance AI is an Australian platform enabling businesses to build and deploy custom AI agent teams without requiring coding expertise. Their no-code platform focuses on multi-agent workflows designed for complex, high-stakes automation tasks – going beyond simple chatbots to deliver human-quality work. Relevance AI targets operations teams across various industries seeking to automate processes and scale operations with an intelligent, customizable AI workforce.

Craft AI

Paris, France

Craft AI is a French MLOps provider specializing in pre-built and custom AI applications designed for enterprise deployment. Their platform focuses on data sovereignty and security, keeping data on-premise while offering solutions across departments like marketing, operations, and IT. Craft AI targets organizations seeking to improve efficiency and competitiveness with trustworthy, explainable AI, while also prioritizing cost control and carbon footprint reduction.

Peak Games

Istanbul, Turkey

Peak Games is a Turkish mobile game developer reaching 40 million monthly active users. The company leverages a proprietary cloud platform and data-driven insights to optimize player engagement and game experiences across its portfolio. Peak Games focuses on live operations and continuous improvement of existing titles, rather than new game development, to maximize long-term player retention and monetization.

Dust

Paris, France

Dust is a French AI platform enabling enterprises to build and deploy custom AI agents without coding. Their no-code platform connects to existing data sources like Slack, Google Drive, and Confluence, allowing businesses to create specialized agents for tasks such as semantic search, data analysis, and workflow automation. Dust differentiates itself through a focus on data privacy and security, ensuring client data is never used for model training and remains fully controlled within the client’s existing infrastructure.

Neptune.ai

Warsaw, Poland

Neptune.ai provides experiment tracking and model registry software specializing in the monitoring of large-scale foundation models. Their platform uniquely focuses on visualizing and debugging per-layer metrics – including losses, gradients, and activations – at scale, enabling faster identification of training instabilities. Targeting AI research and infrastructure teams working with models exceeding billions of parameters, Neptune.ai offers both cloud and on-premise deployment options for comprehensive model monitoring.

Podcastle

Wilmington, United States

Podcastle is a US-based software company offering an all-in-one platform for video and podcast creation directly within a web browser. Their core technology centers on AI-powered tools for audio and video editing, including features for noise reduction, automatic editing, and AI voice generation. Podcastle targets long-form content creators seeking a streamlined, browser-based solution for recording, editing, and distributing professional-quality audio and video content.

BentoML

San Francisco, United States

BentoML is a US-based company providing an open-source platform for simplifying the deployment and scaling of machine learning models. Their core product is a unified framework for packaging models built with any framework or architecture into production-ready services. BentoML targets data science and ML engineering teams needing granular control and efficient operations for serving models in diverse environments.

Sigmoid

Bengaluru, India

Sigmoid is a data engineering and AI solutions provider specializing in the implementation of MLOps and advanced analytics for enterprise clients. The company delivers value through services encompassing data fabric modernization, end-to-end data management, and the development of Domain-Specific Language Models (DSLMs) and Agentic AI solutions – as recognized in Gartner’s 2026 Strategic Technology Trends report. Sigmoid targets organizations seeking to operationalize AI quickly and demonstrate proven ROI on their analytics investments, particularly within the CPG and supply chain sectors.

Arya.ai

Mumbai, India

Arya.ai provides enterprise-grade AI solutions specifically for the banking, insurance, and financial services sectors. Their core offering is a suite of production-ready AI models focused on document processing and data analysis, enabling scalable automation of critical financial workflows. Arya.ai differentiates itself by focusing on simplifying AI adoption and deployment for institutions navigating complex AI implementation challenges.

Userbot

Milan, Italy

Userbot is an Italian company offering a no-code platform for building and deploying collaborative AI Agents. Their technology enables businesses to automate complex tasks and integrate with existing systems – including ERP and CRM – via APIs and webhooks, going beyond simple chatbot functionality. Userbot targets enterprises seeking to improve operational efficiency and customer experience through transparent, auditable AI workflows with a strong emphasis on data privacy and GDPR compliance.

ThirdAI

Houston, United States

ThirdAI is a US-based company specializing in machine learning infrastructure. They have developed a software platform that accelerates the training of large neural networks utilizing standard CPU hardware, bypassing the need for expensive and specialized GPUs. This technology targets organizations seeking to reduce the cost and complexity of AI model development and deployment, particularly those with limited access to GPU resources.

Modulai

Oslo, Norway

Modulai is a Norwegian AI consultancy and product development company specializing in applied machine learning solutions for industrial and commercial applications. They develop custom AI models – including diffusion models for time series forecasting, object detection for video analysis, and Retrieval-Augmented Generation (RAG) systems – and integrate them into client infrastructure, often utilizing frameworks like OpenVINO for optimized CPU performance. Modulai serves clients across sectors like e-commerce, gaming, and industrial automation, offering expertise from initial concept to full deployment of AI-powered solutions.

Browse AI

Vancouver, Canada

Browse AI provides a no-code web scraping and data extraction platform that transforms websites into structured APIs. Their technology utilizes automated site layout monitoring and human behavior emulation to reliably extract data – including from dynamic content – without requiring coding or technical expertise. They serve a broad user base seeking to automate data collection from virtually any website for integration into their existing systems, and also offer fully-managed data extraction services for customized needs.

Browserbase

San Francisco, United States

Browserbase provides serverless headless browser infrastructure, enabling developers to reliably and scalably integrate web access into AI agents and automated applications. Their core offering is a managed platform compatible with tools like Playwright, eliminating the need for users to maintain browser infrastructure themselves. This positions Browserbase as a cost-effective alternative to solutions like Browserless, targeting developers building AI-powered web applications and automation workflows.

Here's a company description for Superwised, based on the provided information: Superwised is a Danish MLOps provider specializing in machine learning model monitoring and observability. Their platform proactively detects and diagnoses performance degradation, data drift, and other issues impacting model accuracy in production. Superwised targets data science and machine learning engineering teams seeking to ensure the reliability and ROI of their deployed models.

Banana

San Francisco, United States

Banana provides serverless GPU infrastructure specifically designed for deploying and scaling machine learning inference. Their platform automatically provisions and manages GPU resources, offering a cost-effective alternative to traditional cloud providers by minimizing markup on GPU time. Banana targets AI teams requiring scalable, production-ready inference solutions with integrated DevOps tooling for streamlined CI/CD and model management.

Hypotenuse AI

Singapore, Singapore

Hypotenuse AI provides an AI agent platform specifically for e-commerce businesses seeking to automate and scale product data enrichment and content creation. Their technology utilizes AI agents to generate SEO-optimized product descriptions, edit product images (including background replacement and resolution enhancement), and standardize product attributes. Targeting brands and retailers, Hypotenuse AI integrates with existing PIM systems and marketplaces to streamline catalog management and improve online product presentation.

Curious AI

Helsinki, Finland

Here's a company description for Curious AI, based on the provided information: Curious AI develops semi-supervised learning algorithms for automated visual inspection, primarily focused on identifying defects in manufactured products. Their core technology utilizes a novel approach to learning from limited labeled data, reducing the need for extensive and costly manual annotation. This allows manufacturers, particularly those with high-mix, low-volume production, to deploy robust quality control systems with significantly less data preparation.

Zindi

Cape Town, South Africa

Zindi operates a competitive platform hosting machine learning challenges sourced from organizations across Africa. Their core offering connects a community of over 100,000 data scientists and AI builders with real-world problem sets, offering prize money and recruitment opportunities as incentives. This model addresses the shortage of skilled AI talent in Africa while providing businesses access to innovative solutions and a pipeline of qualified candidates.

Zapier AI

San Francisco, United States

Zapier AI is a workflow automation platform enabling businesses to build and deploy AI-powered workflows and autonomous “Agents” across over 8,000 integrated web applications. Utilizing a no-code interface, Zapier AI targets businesses of all sizes seeking to automate complex processes and derive actionable insights from data without requiring specialized AI development expertise. The platform differentiates itself through its extensive integration ecosystem, allowing users to orchestrate AI functionality within existing workflows rather than as standalone applications.

MLflow (Databricks)

San Francisco, United States

MLflow is an open source platform for managing ML lifecycle including experiment tracking, model packaging, and deployment.

Presight.ai

Abu Dhabi, United Arab Emirates

Presight.ai provides AI-powered analytics solutions for enterprises and government organizations seeking to derive insights from their existing data infrastructure. Their core technology is a data governance-focused AI analyst that operates directly on data warehouses and lakes, ensuring zero-hallucination results by answering questions solely from verified metrics. This approach eliminates data leakage and the need for data movement, offering a scalable and compliant alternative to traditional or general-purpose AI analytics platforms.

Grab AI

Singapore, Singapore

Grab is a leading “superapp” operating across Southeast Asia, offering ride-hailing, food and package delivery, and financial services. The company leverages AI-powered algorithms for dynamic route optimization, demand prediction, and fraud detection to enhance efficiency and reliability across its services. Targeting a broad consumer base and increasingly small businesses, Grab provides a unified platform for essential daily needs within a rapidly growing digital economy.

Catapult

Melbourne, Australia

Catapult provides wearable sensor technology and video analysis tools to collect and interpret athletic performance data. Their platform utilizes machine learning algorithms to provide objective insights into athlete workload, technique, and injury risk. Catapult primarily serves professional and elite-level sports teams and organizations seeking data-driven performance optimization and injury prevention strategies.

Carnegie Learning

Pittsburgh, United States

Carnegie Learning develops AI-powered curriculum solutions for K-12 education, specializing in math, literacy, and world languages. Their core product, MATHia, is an adaptive learning platform that personalizes the learning path for each student based on real-time performance data. Carnegie Learning targets school districts and educators seeking to improve student outcomes through data-driven instruction and personalized learning experiences.

Feast

San Francisco, United States

Feast provides an open-source feature store designed to streamline the machine learning lifecycle. Their platform enables data scientists and ML engineers to define, manage, and serve features consistently across model training and real-time inference, addressing a critical need for operationalizing ML models at scale. Feast targets organizations building and deploying machine learning applications – particularly those leveraging large language models and real-time personalization – by providing a centralized repository for feature data and supporting integrations with popular MLOps tools like Ray and Kubeflow.

Kubeflow

Mountain View, United States

Kubeflow is an open-source machine learning toolkit dedicated to simplifying the deployment and management of ML workflows on Kubernetes. Their platform provides a composable suite of tools – including pipelines, model training/tuning, and a model registry – covering the entire AI lifecycle. Kubeflow targets data science and AI platform teams seeking a portable, scalable, and Kubernetes-native solution for building and deploying machine learning applications.

Blue Prism

Warrington, United Kingdom

Blue Prism, a subsidiary of SS&C, provides enterprise-grade robotic process automation (RPA) software enhanced with agentic AI capabilities. Their platform allows organizations to automate complex, end-to-end business processes with a focus on governance and scalability. Blue Prism targets large enterprises seeking to improve operational efficiency and accelerate digital transformation through intelligent automation.

Universal Robots

Odense, Denmark

Universal Robots develops and manufactures collaborative robots (cobots) designed for a wide range of industrial automation tasks. Their UR series cobots feature payloads up to 35kg and reach up to 1750mm, prioritizing ease of programming and safe human-robot collaboration. Universal Robots targets manufacturers of all sizes seeking to improve efficiency and deploy flexible automation solutions across sectors like electronics, metal fabrication, and education.

Fetch Robotics

San Jose, United States

Fetch Robotics develops and deploys Autonomous Mobile Robots (AMRs) for material handling within warehousing and logistics environments. Their core technology centers on cloud-robotics and AI-powered navigation, enabling flexible automation of tasks like picking, packing, and transport. Fetch Robotics targets businesses seeking to improve fulfillment efficiency and address labor shortages through scalable, software-defined automation solutions.

Latitude AI is a Ford subsidiary developing Level 3+ automated driving technology for integration into future Ford vehicles. Their core focus is building a full, end-to-end autonomous driving system encompassing robotics, machine learning, and cloud infrastructure. This technology targets the consumer automotive market, aiming to deliver a hands-free driving experience and ultimately redefine the driver-vehicle relationship for Ford customers.

Meituan Autonomous Delivery

Beijing, China

Meituan Autonomous Delivery develops and deploys fully autonomous delivery robots and vehicles focused on last-mile delivery services. Utilizing proprietary navigation and obstacle avoidance technology, the company aims to reduce delivery costs and improve efficiency for Meituan’s extensive food delivery network in China. This vertically integrated approach allows Meituan to control a key component of its logistics chain and address growing demand for rapid, localized delivery.

Neurala

Boston, United States

Neurala develops edge AI-powered visual inspection software that enables manufacturers to automate quality control processes. Their core technology utilizes a proprietary neural network architecture requiring minimal training data to identify defects and anomalies in real-time, directly on existing hardware. This allows manufacturers across industries – including automotive, electronics, and medical device – to reduce inspection costs, improve product quality, and minimize reliance on manual labor.

Ocado Technology

Hatfield, United Kingdom

Ocado Technology designs and implements end-to-end automated warehouse systems for online grocery retailers and logistics providers. Their core offering is the Ocado Smart Platform, utilizing proprietary robotics, AI-powered fulfillment algorithms, and warehouse management software to optimize order fulfillment speed and efficiency. Ocado primarily serves large grocery chains and retail groups seeking to automate and scale their online operations, offering a technology licensing and services model rather than direct retail competition.

QuantumBlack

London, United Kingdom

QuantumBlack, a McKinsey company based in the UK, develops and deploys custom AI solutions focused on data science and advanced analytics. Their core offering is the HD Decisions platform, a cloud-based machine learning operations (MLOps) platform designed to accelerate the development and deployment of predictive models. They primarily serve large enterprises across industries seeking to operationalize AI at scale, leveraging McKinsey’s industry expertise alongside their technology platform.

Sigma AI

Louisville, United States

Sigma AI is a US-based provider of managed data labeling services specializing in high-quality training data for artificial intelligence models. They utilize a quality-first approach, employing human-in-the-loop techniques and rigorous quality assurance protocols to deliver accurate and reliable datasets. Sigma AI targets AI development teams requiring scalable and dependable data annotation, particularly those prioritizing model performance and minimizing bias.

SigOpt

San Francisco, United States

SigOpt, an Intel company, delivers a cloud-based optimization platform for machine learning workflows. Their core technology utilizes Bayesian optimization and other advanced algorithms to automate hyperparameter tuning, architecture search, and model selection. SigOpt targets data science teams and ML engineers seeking to accelerate model development, improve performance, and reduce computational costs across a variety of AI applications.

Sumo Logic

Redwood City, United States

Sumo Logic is a cloud-native security and observability platform specializing in log analytics. Their core product utilizes agentic AI to automate threat detection, investigation, and incident response, reducing mean time to resolution (MTTR). Sumo Logic targets organizations operating in cloud and hybrid environments seeking to improve security posture and operational efficiency through AI-driven insights from machine data.

TensorRT

Santa Clara, United States

NVIDIA TensorRT is an SDK for optimizing and deploying deep learning models across a range of hardware, from data centers to edge devices. Utilizing techniques like quantization and kernel tuning, TensorRT significantly reduces inference latency and increases throughput compared to CPU-only deployments. The platform specifically targets developers working with performance-critical applications and large language models requiring efficient GPU acceleration.

Trueface

San Diego, United States

Trueface, a BigBear.ai company, develops and deploys facial recognition and object detection software development kits (SDKs) for on-premise infrastructure. Their technology utilizes machine learning to convert existing camera feeds into actionable intelligence, with a focus on accuracy and spoof detection. Trueface targets organizations requiring robust, customizable identity verification and security solutions, such as those in security, retail, and access control.

Vidado

Atlanta, United States

Vidado provides document automation software that utilizes machine learning to digitize, classify, and extract data from both handwritten and printed documents. Their core product integrates with SS&C | Blue Prism® to automate information processing, reducing manual data entry and improving operational efficiency. Vidado targets organizations seeking to automate document-intensive workflows, particularly within robotic process automation (RPA) initiatives.

Viso.ai

Zurich, Switzerland

Viso.ai is a Swiss company providing a no-code platform, Viso Suite, that enables businesses to develop and deploy custom computer vision applications without specialized AI expertise. Their technology focuses on real-time visual data analysis from existing cameras, offering solutions for use cases like safety monitoring, object counting, and predictive maintenance. Viso.ai targets industries including manufacturing, construction, logistics, and healthcare, allowing them to digitize operations and gain actionable insights from visual data at the edge.

EQT Group

Stockholm, Sweden

EQT Group is a global investment organization leveraging proprietary AI technology to enhance investment analysis and drive value creation within its portfolio companies. Their core AI product focuses on data-driven insights for due diligence, identifying growth opportunities, and optimizing operational performance across a range of industries. Targeting the private equity market, EQT differentiates itself by integrating AI directly into the investment lifecycle, aiming to deliver superior returns and sustainable growth for its investments.

FuboTV

New York, United States

FuboTV is a streaming platform focused on live sports, news, and entertainment. They leverage machine learning algorithms to personalize content recommendations and optimize video delivery, enhancing user engagement and retention. Targeting sports fans and cord-cutters, FuboTV differentiates itself through AI-driven discovery features within a comprehensive live TV package.

GitLab

San Francisco, United States

GitLab provides a comprehensive DevSecOps platform integrating AI-powered features throughout the software development lifecycle. Their core offering, GitLab Duo, utilizes large language models to deliver contextual code suggestions, automated vulnerability detection, and conversational AI assistance directly within the platform. Targeting professional software development teams, GitLab aims to accelerate development velocity and improve code security by embedding AI capabilities into every stage of the process.

Grid Dynamics

San Ramon, United States

Grid Dynamics is a technology consulting firm specializing in the implementation of AI, data, and cloud solutions for large enterprises. They deliver custom AI-powered applications and platforms – with a particular focus on enhancing digital commerce through capabilities like personalized search and omnichannel experiences – to drive measurable business outcomes. Their primary target market is Fortune 1000 companies seeking to modernize infrastructure, accelerate product development, and optimize operations through digital transformation.

Grubhub

Chicago, United States

Grubhub operates a leading online food ordering and delivery marketplace in the United States. The company leverages machine learning algorithms for demand forecasting to optimize delivery logistics and personalize restaurant recommendations for its user base. This technology aims to reduce delivery times and improve customer satisfaction within the competitive food delivery sector.

Integral Ad Science

New York, United States

Integral Ad Science (IAS) provides digital ad verification and media optimization solutions for large advertisers, publishers, and platforms. Their core technology utilizes AI and machine learning to assess ad viewability, brand safety, and invalid traffic across all key digital channels, including CTV, audio, and gaming. IAS differentiates itself through MRC accreditation for server-to-server data integration – specifically with Amazon DSP – and delivers real-time, granular data to improve campaign performance and inventory quality.

JFrog

Sunnyvale, United States

JFrog provides a comprehensive platform for managing and securing the entire software supply chain, from development to deployment. Their core product, Artifactory, utilizes AI-powered vulnerability analysis and automated workflows to ensure software integrity and accelerate delivery, particularly for AI/ML workloads. JFrog targets DevOps teams and organizations prioritizing application security, offering a centralized system of record to reduce vulnerabilities and streamline the software release process.

Kyndryl

New York, United States

Kyndryl is a global infrastructure services provider specializing in the design, management, and modernization of mission-critical technology systems for large enterprises. Their core offering, the Kyndryl Bridge platform, provides a unified view and automated management of complex, multi-cloud and hybrid IT estates. Kyndryl targets organizations seeking to optimize existing infrastructure, improve IT stability, and gain data-driven insights from their technology investments through expert consulting and managed services.

Lyft

San Francisco, United States

Lyft is a transportation network company operating a mobile app-based platform for ride-hailing and delivery services in the United States. The company leverages machine learning algorithms for real-time ride matching, demand forecasting, and dynamic pricing to optimize efficiency and availability. Lyft primarily serves individual passengers seeking on-demand or scheduled transportation, while also offering flexible earning opportunities for drivers and a premium subscription service for frequent riders.

Mercari

Tokyo, Japan

Mercari operates a large-scale, mobile-first marketplace primarily in Japan, facilitating peer-to-peer resale of a wide variety of goods. The company leverages computer vision AI for automated product categorization and image-based search, alongside machine learning models for dynamic pricing recommendations and fraud prevention. This technology streamlines the listing process for sellers and enhances trust and efficiency for buyers within the secondhand market.

Mirror

New York, United States

Mirror, a Lululemon subsidiary, delivers at-home fitness experiences through an interactive, full-length mirror incorporating AI-powered movement analysis. Its core technology utilizes computer vision to provide real-time form feedback and personalized workout recommendations based on user performance. Targeting consumers seeking convenient and data-driven fitness solutions, Mirror differentiates itself by blending studio-quality instruction with individualized biomechanical assessment.

Monday.com

Tel Aviv, Israel

Monday.com is an AI-powered work operating system designed to manage projects, workflows, and programs across departments like sales, marketing, and IT. Their platform utilizes AI agents and automation to streamline tasks – including data entry, issue triage, and roadmap planning – and provides data-driven insights for risk detection and performance analysis. They target organizations seeking to improve cross-team alignment and operational efficiency through intelligent workflow automation and proactive project management.

Neura

Palo Alto, United States

Neura provides AI maturity assessments and strategic roadmaps for enterprises seeking to integrate AI capabilities. Their core offering is a diagnostic benchmark across six key organizational domains – Strategy, Data, Technology, Talent, Governance, and Culture – to identify gaps and guide AI implementation. Neura targets large organizations aiming to move beyond isolated AI projects and establish scalable, strategically aligned AI programs that drive measurable business value.

NewRelic

San Francisco, United States

New Relic provides an observability platform that enables engineering teams to monitor and debug complex software stacks. Their core technology leverages AI-powered transaction observability to automatically detect, diagnose, and resolve application performance issues. Targeting DevOps and engineering professionals, New Relic differentiates itself through a generous free tier and a focus on accelerating issue resolution in modern, cloud-based environments.

PagerDuty

San Francisco, United States

PagerDuty provides an AI-powered operations platform for incident management and response. Their core technology utilizes agentic AI and generative AI to automate incident resolution, streamline workflows, and accelerate critical operations work – including tasks like status updates and automation scaling. PagerDuty targets digital businesses seeking to improve operational resilience and reduce risk through end-to-end incident automation and streamlined on-call management.

Paylocity

Schaumburg, United States

Paylocity is a unified human capital management platform providing payroll, HR, and finance solutions for mid-sized businesses. Their core offering leverages AI-powered automation to streamline spend management, improve data-driven decision-making, and centralize IT asset management. Paylocity differentiates itself by offering a single platform consolidating these traditionally disparate functions, aiming to improve employee experience and operational efficiency for its clients.

PayPal AI

San Jose, United States

PayPal AI develops and deploys machine learning models to enhance the security and efficiency of PayPal’s digital payment platform. Their core technology focuses on real-time fraud detection and risk management, alongside a loyalty program, PayPal+, that utilizes AI to personalize rewards and optimize user engagement. Targeting both individual consumers and merchant businesses, PayPal AI reduces financial losses from fraudulent transactions and increases customer retention through data-driven personalization.

Pluralsight

Draper, United States

Pluralsight is a skills development platform that delivers online courses and interactive labs focused on technology and business transformation. Their core offering leverages AI-driven skill assessments and learning path recommendations to personalize educational content for individual users and teams. Pluralsight primarily serves enterprise organizations seeking to upskill their workforce in areas like cloud computing, cybersecurity, and artificial intelligence, with a focus on practical, hands-on learning.

Postmates

San Francisco, United States

Postmates is a U.S.-based on-demand delivery platform connecting customers with a wide range of merchants, including restaurants, grocery stores, and retailers. The company leverages AI-powered logistics and demand prediction algorithms to optimize delivery routes and manage a large fleet of independent contractors. Postmates differentiates itself through broad inventory access and rapid, localized delivery, serving consumers seeking convenience across multiple product categories.

Prophix

Mississauga, Canada

Prophix is a financial planning and analysis (FP&A) platform that utilizes AI-powered automation to streamline budgeting, forecasting, and corporate performance management. Their core technology centers on “AI Agents” which automate tasks like GL reconciliation and variance analysis, providing traceable audit trails and actionable insights directly within financial models. Prophix targets mid-to-large sized organizations seeking to move beyond spreadsheet-based financial processes and improve the efficiency and accuracy of their financial reporting and decision-making.

RapidMiner

Boston, United States

RapidMiner offers a comprehensive data science platform enabling organizations to build and deploy machine learning models. Their core technology is a visual workflow designer coupled with automated machine learning (AutoML) capabilities, streamlining the data science lifecycle from data preparation to model deployment. RapidMiner primarily serves data science teams and business analysts seeking to accelerate model development and operationalize AI initiatives across various industries.

Relativity

Chicago, United States

Relativity is a legal data intelligence company providing the RelativityOne platform for eDiscovery and document review. Their AI-powered platform utilizes machine learning to accelerate the identification of relevant legal data and streamline complex litigation processes. Relativity primarily serves legal teams at large law firms, corporations, and government agencies requiring efficient and secure management of high-volume data for legal matters.

Rivian

Irvine, United States

Rivian designs and manufactures electric vehicles, including trucks, SUVs, and vans, focused on both on- and off-road capability. Their vehicles integrate AI-powered driver assistance systems and utilize a software-defined platform to enable features like nine selectable drive modes and advanced safety functionalities. Rivian targets consumers seeking premium electric vehicles with a focus on adventure, utility, and a sustainable transportation experience.

Root Insurance

Columbus, United States

Root Insurance is a U.S.-based auto insurer leveraging telematics and machine learning to offer usage-based pricing. The company’s core product is a mobile app that analyzes driving behavior – including speed, braking, and time of day – to assess risk and provide personalized insurance quotes. This approach targets demonstrably safe drivers who may qualify for significantly lower premiums compared to traditional, static-rate insurance models.

SAP AI

Walldorf, Germany

SAP AI integrates artificial intelligence and machine learning directly into its comprehensive suite of enterprise resource planning (ERP) software. This embedded AI functionality spans across key business processes – including finance, supply chain, HR, and customer experience – to deliver improved efficiency, risk management, and data-driven insights. SAP AI targets large enterprises seeking to leverage AI for operational improvements within their existing, mission-critical systems, rather than as standalone applications.

Splunk

San Francisco, United States

Splunk provides a unified platform for security and observability, enabling organizations to monitor, investigate, and respond to issues across their entire digital infrastructure. Their core technology leverages machine learning and agentic workflows to analyze machine data in real-time, delivering insights for threat detection, IT operations, and performance optimization. Splunk primarily serves large enterprises seeking to improve resilience, reduce costs, and accelerate digital transformation through data-driven operations.

Trifacta

San Francisco, United States

Trifacta, now integrated with Alteryx, provides a cloud-based data preparation platform leveraging AI-powered data wrangling capabilities. Their core product utilizes intelligent profiling and transformation suggestions to accelerate the process of cleaning, shaping, and preparing data for analysis. Trifacta targets data analysts and scientists seeking to rapidly build automated data pipelines and derive insights from diverse datasets within the Alteryx ecosystem.

Uber AI

San Francisco, United States

Uber AI develops and deploys machine learning models to optimize core operational functions within Uber’s ride-hailing and delivery platforms. Their primary technology focuses on real-time matching of riders and drivers, dynamic pricing algorithms, and route optimization for both transportation and delivery services. This allows Uber to efficiently manage a high volume of transactions and provide competitive pricing to riders and drivers across diverse geographic markets.

Vimeo

New York, United States

Vimeo is a comprehensive video platform offering hosting, management, and distribution tools for professional creatives, entrepreneurs, and businesses. Their platform integrates AI-powered features – though specifics aren’t detailed publicly – to enhance video quality and streamline workflows within a secure, ad-free environment. Vimeo differentiates itself by providing granular privacy controls, monetization options, and customizable embedding, catering to users who require complete control over their video content and distribution channels.

VMware AI

Palo Alto, United States

VMware AI delivers AI-powered solutions for optimizing and automating cloud infrastructure management. Their core offering leverages AI to enhance the performance, efficiency, and reliability of enterprise IT environments – spanning on-premises, hybrid, and multi-cloud deployments. Targeting large enterprises with significant cloud infrastructure investments, VMware AI aims to reduce operational costs and improve resource utilization within existing VMware ecosystems.

Avanade

Seattle, United States

Avanade is a global professional services firm specializing in digital transformation and cloud implementation within the Microsoft ecosystem. Their core AI offering centers on applied AI solutions – leveraging Microsoft Azure AI services – to deliver industry-specific solutions and drive business outcomes for enterprise clients. As a long-standing, top-tier Microsoft partner, Avanade uniquely positions itself to deliver scalable and integrated AI capabilities to large organizations undergoing complex digital initiatives.

Talabat

Dubai, United Arab Emirates

Talabat is a leading quick commerce and food delivery platform operating in the UAE. The company leverages AI-powered logistics and route optimization to facilitate rapid delivery of restaurant meals, groceries, pharmaceuticals, and other goods. Targeting urban consumers seeking convenience and speed, Talabat differentiates itself through a broad product offering and a focus on minimizing delivery times via its technology.

Kurly

Seoul, South Korea

Kurly is a South Korean e-commerce company specializing in the rapid, direct-to-consumer delivery of fresh groceries, beauty products, and lifestyle goods. They leverage AI-powered demand forecasting to optimize inventory and logistics, enabling next-morning delivery across the country. Kurly differentiates itself through a focus on product quality and a streamlined, technology-driven supply chain catering to health-conscious consumers.

Comet ML

New York, United States

Comet ML delivers an MLOps platform focused on experiment tracking, model evaluation, and production monitoring for machine learning workflows. Their core technology centers on AI observability and evaluation, including a dedicated offering (“Opik”) for self-optimizing agentic systems and LLM performance analysis. Comet targets AI developers and data science teams seeking to improve model quality, reproducibility, and deployment efficiency, with a notable emphasis on the rapidly evolving field of LLM-powered applications.

Determined AI provides a cloud-native MLOps platform specializing in rapidly scaling and deploying machine learning models. Their core technology centers on a distributed training engine and hyperparameter optimization tools designed to accelerate model development cycles. The platform targets enterprise data science teams seeking to improve the efficiency and reliability of production ML deployments, particularly for computationally intensive workloads.

Domino Data Lab

San Francisco, United States

Domino Data Lab provides a unified MLOps platform enabling enterprise data science teams to build, deploy, and monitor machine learning models across any infrastructure. Their core technology centers on a centralized, collaborative environment supporting the full AI lifecycle, from data access and experimentation to model production and governance. Domino targets large organizations seeking to accelerate AI innovation, improve model reliability, and reduce the costs associated with scaling data science initiatives while avoiding vendor lock-in.

Great Expectations

New York, United States

Great Expectations develops a data quality platform employing an “Expectation-based” testing framework to validate, document, and profile data. Their core technology centers on defining and verifying data expectations as code, enabling automated data validation throughout the entire MLOps pipeline. The platform targets data and machine learning teams seeking to improve data reliability and governance for AI initiatives, particularly within modern data stacks.