ML Infrastructure Companies

NVIDIA

Santa Clara, United States

NVIDIA is the world leader in AI computing hardware and software. Creator of CUDA, cuDNN, and the dominant GPU platform for AI training and inference.

Apple AI

Cupertino, United States

Apple AI focuses on the research and development of on-device artificial intelligence, primarily through its MLX framework – an Apple silicon-optimized toolkit for developing and deploying large language models. Targeting AI researchers and developers, MLX enables private, efficient LLM experimentation and deployment directly on Apple hardware, bypassing reliance on cloud infrastructure. This positions Apple AI as a provider of both foundational ML technology and a secure, localized AI development environment.

Google AI

Mountain View, United States

and general knowledge: Google AI develops cutting-edge large language models like Gemini, alongside the widely-adopted TensorFlow machine learning framework and supporting infrastructure. Their key innovations center on multimodal AI – enabling models to process and understand text, images, audio, and video – as demonstrated by Gemini’s advanced reasoning and creative capabilities. Targeting developers, researchers, and general consumers, Google AI integrates these technologies across numerous Google products and recently launched the Gemini API for broader access and application development.

AMD

Santa Clara, United States

AMD develops high-performance computing and AI hardware including MI300 accelerators, ROCm software stack, and Ryzen AI processors.

Intel

Santa Clara, United States

Intel develops AI accelerators including Gaudi, Xeon processors with AI acceleration, and neuromorphic chips. Major player in edge AI.

MercadoLibre

Buenos Aires, Argentina

MercadoLibre operates the leading online marketplace in Latin America, facilitating commerce for individuals and businesses. Their core AI application is a recommendation and search engine powered by machine learning, optimizing product discovery and personalized shopping experiences for over 800 million listings. This technology drives sales volume and customer engagement within their established e-commerce and fintech ecosystem, primarily serving consumers and sellers across the Latin American region.

Datadog

New York, United States

Datadog delivers a comprehensive observability and analytics platform, providing cloud-scale monitoring of infrastructure, application performance (APM), log management, and security. Leveraging machine learning, Datadog’s products – including its anomaly detection features and Root Cause Analysis – proactively identify and resolve performance issues and security threats across complex cloud environments. Serving developers, IT operations, and business users, Datadog currently monitors over 760,000 customer hosts and processes over 150 billion metrics daily, establishing it as a leader in cloud observability.

Cloudflare

San Francisco, United States

Cloudflare provides a comprehensive connectivity cloud platform delivering security, performance, and reliability for websites, applications, and APIs. Their core AI offering, Workers AI, enables developers to deploy and run machine learning models directly on Cloudflare’s globally distributed edge network. This uniquely positions Cloudflare to serve organizations requiring low-latency AI inference and robust protection against evolving cyber threats, particularly for AI-powered applications and workloads.

Zillow AI

Seattle, United States

Zillow AI is a PropTech company operating the leading U.S. real estate marketplace. Their core technology is the Zestimate, an automated valuation model (AVM) leveraging machine learning to estimate property values, alongside AI-powered recommendation engines for listings. Zillow targets both home buyers/renters and real estate professionals, providing data-driven insights and a comprehensive platform for property search and valuation.

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.

Vicor

Andover, United States

Vicor designs and manufactures modular power systems, specializing in high-density power conversion for demanding applications. Their core technology focuses on optimized 48V power delivery networks, crucial for efficient operation of AI data centers and GPU computing infrastructure. Vicor targets companies building high-performance computing systems, offering solutions that improve power efficiency and scalability in areas like AI, eMobility, and high-performance computing.

DigitalBridge (aiWare)

Boca Raton, United States

DigitalBridge is a global alternative asset manager specializing in investments within digital infrastructure, including data centers and related technologies. Their core focus is acquiring and developing digital real estate – physical infrastructure supporting the private cloud and data transmission networks. DigitalBridge targets institutional investors seeking exposure to the growing demand for scalable and reliable digital infrastructure assets.

Lacework

San Jose, United States

Lacework provides cloud security solutions utilizing behavioral analytics and machine learning to automate threat detection and response. Their Polygraph Data Platform continuously analyzes cloud workloads, network traffic, and identities to establish baseline behavior and identify anomalous activity indicative of security breaches or misconfigurations. Lacework targets cloud-native organizations seeking to reduce alert fatigue and improve security posture without relying solely on signature-based detection methods.

Getir

Istanbul, Turkey

Here's a company description for Getir, based on the provided information and aiming for factual, specific, and professional language: Getir is a quick-commerce company operating in Turkey that leverages AI-powered route optimization and demand forecasting to facilitate ultra-fast delivery of groceries and everyday essentials. Their core technology centers on a proprietary AI platform managing a network of hyperlocal micro-fulfillment centers. This enables Getir to offer delivery within minutes, targeting urban consumers prioritizing speed and convenience in their grocery shopping.

CoreWeave

Roseland, United States

CoreWeave is a specialized cloud provider for GPU-accelerated workloads, serving major AI companies with massive compute infrastructure.

SambaNova Systems

Palo Alto, United States

SambaNova Systems develops a full-stack AI platform, including DataScale processors (RDUs) and the Samba-1 model suite, designed to accelerate AI inference and fine-tuning. The company offers both cloud-based (SambaCloud) and on-premise (SambaStack) deployment options, targeting enterprises and governments with demanding data security and performance requirements. SambaNova positions itself as a high-performance, energy-efficient alternative to GPU-based AI infrastructure, particularly for large language models and sovereign AI initiatives.

DataRobot

Boston, United States

DataRobot offers a unified AI platform focused on enabling enterprises to build, deploy, and manage “agentic AI” applications – autonomous AI agents designed to handle complex tasks. Their platform differentiates itself through a focus on the full agent lifecycle, offering customizable blueprints and integrations to accelerate development and deployment across various enterprise teams. DataRobot positions itself as a leader in moving beyond pilot projects, aiming to deliver measurable business outcomes with AI, and currently supports applications like automated customer service and intelligent document processing.

Sila Nanotechnologies

Alameda, United States

Sila Nanotechnologies develops and manufactures silicon anode materials that significantly increase the energy density and performance of lithium-ion batteries. Their core product, Titan Silicon, is a drop-in replacement for traditional graphite anodes, delivering up to 20% more energy density and faster charging capabilities. Sila targets battery manufacturers and device companies across electric vehicle, consumer electronics, and industrial sectors, offering both materials supply and battery engineering services to optimize cell performance.

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.

Kitopi

Dubai, United Arab Emirates

Kitopi operates a network of cloud kitchens throughout the Middle East, fulfilling online food orders for a variety of restaurant brands. Their core technology utilizes AI-powered demand forecasting to optimize kitchen operations, inventory management, and delivery logistics. This allows Kitopi to offer scalable, cost-effective kitchen infrastructure and delivery services to restaurant partners seeking to expand their reach without significant capital investment.

Crusoe Energy

Denver, United States

Crusoe Energy provides scalable AI infrastructure and cloud compute services, specializing in deployments for large-context AI models. Their core offering, Crusoe Cloud, leverages proprietary MemoryAlloy technology and optimized hardware – including the latest NVIDIA & AMD GPUs – to deliver accelerated inference speeds and reduced costs. Crusoe targets organizations requiring high-performance, reliable AI compute, uniquely powered by stranded natural gas and renewable energy sources to offer a sustainable infrastructure solution.

Fivetran

Oakland, United States

Fivetran is a data integration platform that automates the movement of data from over 700 sources – including SaaS applications, databases, and files – into cloud data warehouses and lakes. Their fully-managed pipelines eliminate the need for custom ETL code, enabling businesses to consolidate data for analytics and AI initiatives. Fivetran primarily serves organizations requiring reliable, scalable data integration to power business intelligence, data science workflows, and cloud migrations.

Cerebras Systems

Sunnyvale, United States

Cerebras Systems develops AI hardware, specifically the Wafer Scale Engine, a large-scale chip designed to accelerate deep learning workloads. Unlike traditional GPUs, Cerebras’ technology aims to significantly reduce the time and cost associated with training complex AI models. Their target market is organizations requiring high-performance computing for demanding AI applications, such as large language models and scientific computing.

Graphcore

Bristol, United Kingdom

Graphcore designs Intelligence Processing Units (IPUs) optimized for machine intelligence workloads with novel architecture.

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.

DriveNets

Ra'anana, Israel

DriveNets delivers high-performance Ethernet-based network infrastructure solutions optimized for demanding AI workloads and large-scale cloud deployments. Their core technology is a disaggregated networking operating system enabling service providers and cloud builders to create scalable and open routing fabrics. DriveNets specifically targets organizations requiring high-bandwidth, low-latency networking to support AI training and inference, as well as next-generation service provider networks.

Vercel

San Francisco, United States

Vercel is a frontend cloud platform providing developers with the infrastructure to build and deploy web applications. Their core offering is an AI Cloud, integrating AI SDKs and edge functions to enable personalized and dynamic web experiences. Vercel targets web developers seeking to leverage AI capabilities directly within their frontend applications, focusing on performance and scalability.

Collibra

Brussels, Belgium

Collibra provides a Data Intelligence Platform that enables organizations to centrally manage and govern all their data assets, including those used in AI applications. Their platform features a data catalog, data governance, and AI governance capabilities, facilitating data discovery, quality, and access control. Collibra primarily serves large enterprises seeking to improve data trust and operationalize data within a collaborative, business-led framework.

Scaleway

Paris, France

Scaleway is a European cloud infrastructure provider specializing in GPU-accelerated computing for AI and machine learning workloads. Their core offering is the Scaleway AI Supercomputer – currently featuring the Nabu-2023 and expanding to 127 DGX nodes – providing scalable resources for model training and deployment. Scaleway differentiates itself by offering a sovereign European cloud solution with predictable pricing, robust data security, and 24/7 support, targeting organizations prioritizing data residency and cost transparency.

Kabbage

Atlanta, United States

Kabbage, a part of American Express, provides automated lending and financial insights to small businesses. Their core technology utilizes machine learning to analyze business data – including bank accounts, accounting software, and online sales platforms – for real-time cash flow assessment and credit risk determination. This enables Kabbage to offer rapid funding decisions and flexible credit lines to a market traditionally underserved by conventional lenders.

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.

dbt Labs

Philadelphia, United States

dbt Labs provides a data transformation platform focused on enabling reliable and governed data pipelines. Their core product, dbt Fusion, is a next-generation data engine designed to accelerate analytics and AI initiatives through improved performance and cost efficiency. dbt Labs targets data teams within organizations seeking to improve data quality and governance as a foundation for trustworthy AI and data-driven decision-making.

Aiven

Helsinki, Finland

Aiven provides a managed, open-source data platform enabling organizations to efficiently stream, store, and serve data across multi-cloud environments. Their core offering integrates and optimizes popular open-source data technologies – including databases, streaming platforms, and search engines – as a fully-managed service. Aiven targets data-intensive businesses seeking to reduce operational overhead and accelerate AI/ML initiatives by simplifying complex data infrastructure management.

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.

Konfio

Mexico City, Mexico

Konfio is a Mexican fintech company specializing in credit risk assessment for small and medium-sized businesses (SMBs). They leverage alternative data and machine learning algorithms to generate credit scores for SMBs lacking traditional credit history, enabling more informed lending decisions. This technology serves banks, fintech lenders, and other financial institutions operating in the Mexican market, expanding access to credit for underserved businesses.

Voi Technology

Stockholm, Sweden

Here's a company description for Voi Technology, based on the provided information: Voi Technology is a micromobility operator deploying shared electric scooters in cities across Europe. The company leverages proprietary AI algorithms for real-time fleet rebalancing, predicting demand based on hyperlocal data, and optimizing scooter placement to maximize utilization and minimize operational costs. This data-driven approach enables Voi to offer a more reliable and efficient shared scooter service for urban commuters and reduce congestion.

Hugging Face

New York, United States

Hugging Face is the AI community building the future with open source machine learning. Hosts the world's largest collection of ML models and datasets.

Andela

Lagos, Nigeria

Andela is a talent marketplace connecting North American and European companies with pre-vetted software engineering talent primarily located in Africa. Their core offering is powered by the “Talent Decision Engine,” a proprietary AI system that rigorously assesses and matches engineers based on skills and experience. This enables companies to quickly scale engineering teams with qualified professionals while offloading the complexities of international hiring and compliance.

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.

Groq

Mountain View, United States

Groq designs the Language Processing Unit (LPU), a novel processor architecture specifically engineered for high-performance, low-latency language model inference. Pioneered in 2016, the LPU fundamentally differs from traditional GPUs by utilizing a deterministic, software-defined dataflow architecture to maximize throughput and predictability for demanding AI workloads. Groq offers its LPU hardware alongside GroqCloud, a fully managed inference platform, serving customers requiring real-time responses from large language models in applications like generative AI and natural language processing.

Vectra AI

San Jose, United States

Vectra AI provides network detection and response (NDR) solutions that utilize advanced AI and machine learning to identify and stop cyberattacks across hybrid cloud environments. Their platform correlates threat signals across network, identity, and cloud data to reveal attacker behavior early in the attack lifecycle, offering significantly faster detection times. Vectra AI targets enterprises seeking to enhance their cybersecurity posture with proactive, AI-driven threat hunting and incident response capabilities.

Branch

San Francisco, United States

Branch is a fintech company providing accessible digital financial services to emerging markets, primarily in Africa and India. Their core product is a mobile-first platform leveraging machine learning for credit scoring and risk assessment, enabling instant loan disbursement and a suite of banking products – including savings, investments, and payments – directly through smartphones. Branch targets the underbanked and unbanked populations, offering a fully digital alternative to traditional financial institutions and expanding financial inclusion.

Redis

Mountain View, United States

Redis provides a fully-managed, in-memory data platform optimized for real-time applications, including those leveraging artificial intelligence. Their core offering is Redis Stack, which incorporates vector databases and semantic search capabilities to accelerate AI workloads like chatbots and LLM-powered agents. Redis targets developers seeking to reduce latency and infrastructure costs associated with AI applications by providing a high-performance caching and data storage layer.

Tenstorrent

Toronto, Canada

Tenstorrent designs high-performance AI processors and ML infrastructure, currently offering the Grayskull™ chip based on a novel, scalable architecture. Their key innovation lies in the combination of this architecture with an open-source, MLIR-based compiler stack, TT-Forge™, enabling optimized workload deployment and broad software compatibility. Tenstorrent is targeting AI inference and training applications, and recently released TT-Forge™ into public beta to foster community development and accelerate model support for their hardware.

Sky Mavis

Ho Chi Minh City, Vietnam

Sky Mavis is a Vietnam-based game development studio and blockchain technology company building play-to-earn games and supporting infrastructure. Their flagship product, Axie Infinity, utilizes non-fungible tokens (NFTs) and blockchain technology to create a player-owned digital ecosystem. Sky Mavis also develops Ronin, an Ethereum Virtual Machine (EVM) blockchain specifically designed to scale games with player-owned economies and reduce transaction fees.

Matillion

Manchester, United Kingdom

Matillion is a data integration platform specializing in Extract, Load, Transform (ELT) processes for cloud data warehouses. Their core offering, enhanced by the “Maia” AI agent, utilizes generative AI to automate data pipeline development, reducing the need for manual coding and accelerating data delivery. Matillion targets data engineering teams and aims to augment their capabilities, while also enabling citizen data integrators through a low-code interface and AI-driven automation.

Kueski

Guadalajara, Mexico

Kueski is a Mexican fintech company providing instant personal loans and point-of-sale financing to consumers lacking traditional credit history. They utilize proprietary AI-powered credit scoring models to assess risk and facilitate lending decisions for underserved populations. Kueski’s offerings, including Kueski Pay, enable both consumer purchases and merchant acceptance of credit without requiring traditional credit cards, addressing a significant gap in the Mexican financial landscape.

Applied Intuition

Mountain View, United States

Applied Intuition provides a comprehensive software platform, Vehicle OS, for developing and validating autonomous vehicle (AV) and advanced driver-assistance systems (ADAS). Their technology focuses on large-scale data ingestion, synthetic scenario generation, and machine learning infrastructure to enable rapid development, testing, and deployment of AI-powered vehicle intelligence. They primarily serve automotive manufacturers and technology companies seeking to accelerate AV/ADAS development and improve safety through data-driven insights and efficient software updates.

Rocket Lab

Auckland, New Zealand

Rocket Lab is an integrated space systems company providing launch services and satellite infrastructure. They leverage AI-powered guidance systems for their Electron rockets and utilize machine learning to optimize satellite operations and enhance reliability. Targeting both government and commercial entities, Rocket Lab offers an end-to-end solution, from dedicated small satellite launches to complete spacecraft and component manufacturing.

SingleStore

San Francisco, United States

SingleStore provides a unified database platform designed for real-time AI-powered applications. Their core technology converges transactional and analytical processing with multi-model data support – including vectors for AI/ML – to deliver single-digit millisecond query performance at petabyte scale. SingleStore targets enterprises requiring low-latency insights directly from rapidly changing data, offering a data lake agnostic solution for applications built on platforms like Snowflake, Databricks, and BigQuery.

Kong

San Francisco, United States

Kong provides a unified platform for managing and securing API and AI connectivity across modern, cloud-native architectures. Their core technology addresses the challenges of AI deployment at scale by unifying fragmented data ecosystems – from LLMs to APIs – providing visibility, governance, and enhanced security. Kong targets enterprises seeking to accelerate AI innovation while mitigating the risks of fragmentation and ensuring consistent policy enforcement across their AI and API infrastructure.

Anyscale

San Francisco, United States

Anyscale provides a platform built on Ray, an open-source distributed computing framework, enabling developers to scale Python and machine learning applications from single laptops to large-scale clusters. Their key innovation lies in Ray’s ability to unify compute for the entire AI lifecycle – from data processing and model training to serving and reinforcement learning – with features like automated dependency management and distributed workload observability. Notably, Anyscale has partnered with Microsoft to deliver a first-party, fully managed Ray service on Azure, currently in private preview, and serves customers building and scaling demanding AI applications including large language models.

H2O.ai

Mountain View, United States

H2O.ai develops end-to-end AI platforms, including the open-source H2O and the automated machine learning platform Driverless AI, now extended with generative AI capabilities. Their technology uniquely focuses on enabling private and secure deployments of Large Language Models (LLMs) and Small Language Models (SLMs) – including on-premise and air-gapped environments – giving organizations full ownership of their AI stack. H2O.ai has demonstrated success with major enterprises like Australia’s largest bank, achieving a 70% reduction in fraud, and AT&T, who saw a 2x return on investment in free cash flow through the implementation of h2oGPTe for call center transformation.

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.

Meter

San Francisco, United States

Meter provides comprehensive network infrastructure solutions for enterprises, encompassing hardware, software, and ongoing lifecycle management under a single subscription model. Their core technology leverages AI-driven automation and deep network visibility to optimize performance, security, and reliability across routing, switching, and wireless systems. Meter targets businesses of all sizes, particularly those requiring scalable, multi-site network management for large numbers of locations and devices.

Ascend Money

Bangkok, Thailand

Ascend Money is a Thailand-based fintech company developing and deploying AI-driven solutions for financial inclusion in Southeast Asia. Their core product is a credit scoring and lending platform utilizing alternative data and machine learning to assess creditworthiness for the unbanked and underbanked populations. This allows Ascend Money to provide access to digital financial services – including loans and payments – to a demographic traditionally underserved by conventional financial institutions.

Reltio

Redwood City, United States

Reltio provides a cloud-native SaaS platform for master data management (MDM), unifying complex data from multiple sources into a single, trusted view. Their Connected Data Platform leverages AI-powered entity resolution and data unification to deliver real-time, accurate data profiles. Reltio targets enterprises seeking to improve data quality for operational efficiency, compliance, and the enablement of AI-driven applications like personalized customer experiences and agentic workflows.

Together AI

San Francisco, United States

Together AI delivers a cloud platform specializing in the deployment and scaling of open-source large language models (LLMs) and multimodal AI models, offering both API access and direct GPU cluster access. Their platform distinguishes itself through optimized inference and training on performance-focused GPU clusters, enabling customers to process trillions of tokens and supports models for diverse applications including chat, image generation, and code completion. Notably, Together AI provides OpenAI-compatible APIs, facilitating easy migration from closed-source models and offers a developer-friendly experience for building AI-native applications.

Sourcegraph

San Francisco, United States

Sourcegraph is a code intelligence platform that enables developers and AI agents to efficiently navigate and understand large, complex codebases. Their core technology is a universal code search engine, coupled with tools like Cody, an AI coding assistant designed to operate effectively within extensive and often legacy code environments. Sourcegraph targets enterprise development teams struggling with code complexity and aims to improve both human and AI-driven code comprehension and maintainability at scale.

Rebellions

Seoul, South Korea

Rebellions is a South Korean AI hardware company specializing in high-performance accelerator cards, servers, and rack-scale solutions for data centers and edge computing. Their core product, the REBEL-Quad, utilizes a chiplet architecture and HBM3E memory to deliver industry-leading performance per watt for demanding AI workloads like those built on PyTorch and vLLM. Rebellions targets organizations requiring scalable and efficient AI infrastructure, offering a full-stack hardware and software solution.

M-KOPA

Nairobi, Kenya

M-KOPA provides financing for smartphones and other essential assets to underbanked consumers in Africa. Utilizing machine learning to assess creditworthiness and manage risk, they offer pay-as-you-go financing plans linked to daily micro-payments. This model expands financial inclusion by enabling access to technology and services for customers traditionally excluded from conventional lending.

Imply

San Francisco, United States

Imply develops the Observability Warehouse, a data layer built on Apache Druid, designed to decouple and consolidate observability and security data. Their core product enables organizations to ingest data once and utilize it across various analytical tools, including direct querying and integration with large language models like Claude and ChatGPT. Imply targets organizations struggling with data silos and high costs associated with traditional, tightly-coupled observability stacks, offering a more flexible and cost-effective solution.

Voyager Innovations

Manila, Philippines

Voyager Innovations develops and deploys AI-driven financial technology solutions within the Philippines. Their core product, PayMaya, leverages machine learning for fraud detection, risk assessment, and personalized financial services within its digital payments platform. Voyager targets both consumers and businesses seeking accessible and secure digital financial solutions in a largely cash-based economy.

SafeGraph

Denver, United States

SafeGraph is a US-based data provider specializing in comprehensive points-of-interest (POI) data for geospatial analysis. They leverage machine learning and human verification to curate a highly accurate and detailed database of global POI attributes – including brand affiliation, hours, and polygon geometry – delivered through platforms like AWS Marketplace and Domo. This data enables businesses in sectors like real estate, retail, and analytics to improve market trend identification, mapping applications, and consumer behavior analysis.

Ultraleap

Bristol, United Kingdom

Ultraleap develops touchless interaction technology combining computer vision-based hand tracking with mid-air haptic feedback. Their core product, and focus, is enabling gestural control and tactile feedback for digital interfaces, initially demonstrated through innovative music creation tools like their Airwave platform. Ultraleap targets the music technology market and broader applications requiring natural user interfaces, offering both hardware and SDKs for integration into headsets and custom applications.

Modern Treasury

San Francisco, United States

Modern Treasury provides API-driven payment infrastructure that enables businesses to automate money movement across diverse payment rails – including ACH, wire, and stablecoins. Their platform offers a unified API and scalable database for tracking transactions from initiation to settlement, automating traditionally manual ledgering processes. Targeting fintechs and businesses building financial products, Modern Treasury reduces engineering overhead and accelerates time-to-market for complex payment operations, demonstrated by processing over $300 billion in payments.

Mux

San Francisco, United States

Mux is a US-based provider of video infrastructure and APIs that enable developers to seamlessly integrate high-quality live and on-demand video functionality into their applications. Their core technology centers around a robust video processing pipeline and API offering features like rapid video still extraction and customizable playback. Mux targets developers and businesses seeking to efficiently build and scale video experiences without the complexities of managing underlying video infrastructure.

Timescale

New York, United States

Timescale is a data infrastructure company specializing in TimescaleDB, an open-source PostgreSQL extension optimized for time-series data. Their platform enables scalable storage and analysis of time-series data – including metrics, events, and streams – with features like hybrid row/columnar storage and continuous aggregates. Timescale targets developers building applications requiring high-performance time-series analytics, particularly in areas like IoT, DevOps, and industrial telemetry, offering a cost-effective alternative to traditional time-series databases.

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.

EightSleep

New York, United States

EightSleep develops the Pod, an AI-powered mattress cover that utilizes active temperature regulation and biometric monitoring to optimize sleep performance. The Pod tracks metrics like heart rate variability, respiratory rate, and sleep stages, dynamically adjusting temperature on each side of the bed for personalized comfort. Targeting consumers seeking data-driven sleep improvement and enhanced recovery, EightSleep offers a non-invasive solution compatible with existing mattresses.

Oura

Oulu, Finland

Oura is a Finnish health technology company specializing in a smart ring wearable that tracks key physiological data. Utilizing sensor data and AI-powered algorithms, the Oura Ring continuously monitors metrics like sleep stages, activity levels, and heart rate variability to provide users with personalized health insights. Oura targets health-conscious individuals seeking proactive, data-driven approaches to wellness and recovery, offering a discreet and comfortable alternative to traditional wrist-worn trackers.

Hawkeye 360

Herndon, United States

Hawkeye 360 is a U.S.-based company that utilizes a proprietary constellation of Low Earth Orbit satellites and advanced RF signal processing to deliver space-based signals intelligence (SIGINT). Their core technology detects, geolocates, and characterizes a broad spectrum of radio frequency signals – including radar, communications, and GPS – providing customers with unique insights into maritime, terrestrial, and airborne activity. Hawkeye 360 primarily serves government and defense organizations seeking enhanced situational awareness, threat detection, and intelligence gathering capabilities.

Turing

Palo Alto, United States

Turing develops AI training infrastructure, specifically large-scale reinforcement learning environments and data generation systems, to enhance the capabilities of frontier AI models in complex tasks like coding and STEM reasoning. They partner with leading AI labs and enterprises to bridge the gap between AI research and production-ready deployment, focusing on economically valuable applications. Unlike traditional talent platforms, Turing’s core offering is not developer matching, but rather the technology to improve the capabilities of AI agents themselves.

Pinecone

San Francisco, United States

Pinecone provides a fully-managed, serverless vector database designed for high-performance similarity search in AI applications. Their technology specializes in indexing and querying dense vector embeddings, enabling use cases like Retrieval-Augmented Generation (RAG) and semantic search across massive datasets. Pinecone targets enterprises building AI-powered applications requiring scalable and accurate similarity matching, as demonstrated by improvements to customer support systems like those achieved with Vanguard.

Hasura

Bangalore, India

Hasura is a data access company specializing in tools for building and scaling data-intensive applications, particularly those leveraging AI. Their core product, PromptQL, is a data delivery network designed to provide fast, accurate, and contextually relevant data to large language models and other AI systems. Targeting enterprise data leaders and rapidly growing AI-native companies, Hasura aims to simplify data integration and accelerate the development of reliable AI-powered experiences.

Snorkel AI

Redwood City, United States

Snorkel AI is a data-centric AI platform specializing in the programmatic development of high-quality training datasets. Their core technology utilizes programmatic labeling techniques to accelerate data curation and improve model accuracy, particularly for large language models and enterprise AI applications. Snorkel AI targets organizations requiring specialized, rapidly-developed datasets to optimize performance and reduce the time-to-deployment of their AI initiatives.

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.

Reonomy

New York, United States

Reonomy is a U.S.-based PropTech company specializing in commercial real estate data intelligence. They utilize machine learning algorithms to standardize and connect disparate property data sources through a proprietary identification system, the Reonomy ID. This technology enables investors, brokers, and owners to unlock deeper insights from existing datasets and identify off-market opportunities within the commercial real estate sector.

Explorium

Tel Aviv, Israel

Explorium provides a data foundation and infrastructure specifically designed for building and deploying B2B Go-To-Market (GTM) AI agents. Their core technology automates data discovery and feature engineering, delivering organized, high-quality data tailored for sales and marketing applications. Explorium targets businesses seeking to leverage AI-powered agents for improved sales development and contextualized GTM strategies.

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.

Untether AI

Toronto, Canada

Untether AI develops specialized hardware accelerating AI inference through an innovative at-memory compute architecture. Their core product, the tsunAImi® accelerator card, significantly improves performance and energy efficiency for demanding AI workloads by integrating computation directly within memory. Targeting applications ranging from assisted driving to smart cities, Untether AI enables cost-effective deployment of AI at the edge and in data centers by supporting standard AI frameworks like TensorFlow and PyTorch.

Eko Health

Oakland, United States

Eko Health develops digital stethoscopes integrated with machine learning algorithms for enhanced cardiac and pulmonary auscultation. Their core product utilizes AI to detect heart murmurs and structural heart disease with greater accuracy, assisting clinicians in early and accurate diagnosis. Eko targets cardiologists, primary care physicians, and other healthcare providers seeking to improve cardiovascular disease detection and streamline patient care through digital health tools.

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.

Supabase

San Francisco, United States

Supabase is a backend-as-a-service platform built on top of PostgreSQL, providing developers with a comprehensive suite of tools including authentication, real-time subscriptions, and serverless functions. A key differentiator is its integrated vector database capabilities, enabling efficient storage, indexing, and search of vector embeddings for AI and machine learning applications. Supabase targets developers building full-stack applications requiring a scalable database solution with native AI functionality, offering an open-source alternative to platforms like Firebase.

Tractable

London, United Kingdom

Tractable provides AI-powered visual assessment solutions for the automotive insurance and repair industries. Their core technology utilizes computer vision and machine learning to analyze vehicle damage from images, providing accurate damage detection, repair estimates, and salvage part identification. Tractable targets insurers, repair networks, and salvage operators, offering a scalable solution to accelerate claims processing and improve operational efficiency.

Zilliz

Redwood City, United States

Zilliz provides a fully-managed cloud service, Zilliz Cloud, built on Milvus, their open-source vector database. The platform enables billion-scale vector similarity search with high throughput and low latency, offering a scalable alternative to self-managed deployments. Zilliz targets enterprise users requiring robust and performant vector search for AI applications like recommendation systems, image recognition, and natural language processing, with a focus on minimizing operational overhead and maximizing uptime.

PlanetScale

San Francisco, United States

PlanetScale is a database platform providing cloud hosting for open-source databases Vitess and Postgres, specializing in scalable MySQL solutions. Their core offering is a fully-managed Vitess service, originally developed at YouTube, that enables horizontal database sharding for petabyte-scale applications. PlanetScale targets companies requiring highly scalable and reliable database infrastructure, particularly those experiencing rapid growth or demanding low-latency performance, and offers deployment options including bring-your-own-cloud solutions.

Neon

San Francisco, United States

Neon is a serverless Postgres database provider offering autoscaling and pay-as-you-go pricing for application development. Their platform uniquely integrates pgvector, enabling efficient storage and retrieval for AI-powered applications utilizing vector embeddings. Neon targets developers building scalable applications, particularly those leveraging AI and machine learning, by simplifying database operations and reducing infrastructure management overhead.

Recogni

San Jose, United States

Recogni, now operating as Tensordyne, develops AI inference systems—including custom silicon and optimized math—designed to significantly reduce the computational cost and energy consumption of large AI models. Their technology targets data centers requiring high-throughput, low-latency AI processing for generative AI and other demanding applications. Tensordyne differentiates itself through fundamental mathematical innovation in AI, enabling greater density and efficiency in AI infrastructure.

Taranis

Tel Aviv, Israel

Taranis is an Israeli agtech company providing AI-powered crop intelligence solutions to agricultural advisors and growers. Their core technology utilizes high-resolution aerial imagery and machine learning to detect early signs of pests, diseases, nutrient deficiencies, and weeds at a leaf-level granularity. This enables proactive, data-driven decision-making and optimized resource allocation for improved yield and profitability, specifically serving the needs of trusted agricultural advisors seeking to demonstrate value to their clients.

Fly.io

Chicago, United States

Fly.io provides a globally distributed compute platform enabling developers to deploy full-stack applications—including AI workloads—across 35 regions with low latency. Their core technology, Fly Machines, are rapidly-booting, hardware-virtualized containers offering a serverless-like experience without the associated trade-offs. This platform targets developers seeking performant, scalable infrastructure for applications ranging from simple web apps to globally-distributed databases and AI inference, while maintaining control over their stack and costs.

Moxion Power

Richmond, United States

Moxion Power developed AI-powered optimization and management software for mobile battery energy storage systems. Prior to filing for Chapter 7 bankruptcy in August 2024, the company focused on providing solutions for on-site power needs in industries like film, events, and emergency response. Viridi has since acquired certain assets of Moxion, and now supports existing customers and continues development of mobile energy storage units.

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.

Sapeon

Seoul, South Korea

Sapeon develops neural processing units (NPUs) specifically designed to accelerate AI inference workloads in data centers. Their technology focuses on delivering high performance and energy efficiency for applications like image recognition and natural language processing. Sapeon targets cloud service providers and enterprises seeking to optimize the cost and performance of their AI-powered services.

TensorWave

Las Vegas, United States

TensorWave provides a dedicated, high-performance cloud infrastructure specializing in AMD Instinct™ GPUs, including the MI300X, for demanding AI and High-Performance Computing (HPC) workloads. Their platform is designed to accelerate large language model (LLM) training and inference, demonstrated by successful fine-tuning of a 405 billion parameter model on a single 8-GPU node with 192GB of VRAM per GPU. Notably, TensorWave simplifies the deployment of AMD’s ROCm software stack – reportedly loading in 1.5 minutes compared to 20 minutes on comparable NVIDIA systems – and has been utilized by companies like Kamiwaza to showcase enterprise GenAI platforms.

Cape Analytics

San Francisco, United States

Cape Analytics provides property intelligence to the insurance, real estate, and lending sectors using AI-powered analysis of aerial imagery and geospatial data. Their core product, CAPE® Property Intelligence, leverages computer vision and machine learning to deliver detailed, predictive risk assessments for both individual properties and large portfolios. This enables clients to improve underwriting accuracy, refine valuations, and proactively manage exposure to property and climate-related risks.

GMI Cloud

San Jose, United States

GMI Cloud delivers specialized GPU cloud infrastructure for AI workloads, offering on-demand access to high-performance NVIDIA H100 and H200 GPUs via their Compute service, alongside managed solutions like the Inference Engine for low-latency scaling and the Cluster Engine for GPU orchestration. As an NVIDIA Reference Cloud Platform Provider, GMI Cloud differentiates itself with competitive, pay-as-you-go pricing – currently $3.35-$3.50/GPU-hour – and full-stack control over AI-optimized datacenters. They serve a broad market of AI developers and businesses seeking to accelerate model training, deployment, and inference, and highlight success stories demonstrating faster time-to-market for AI applications.

Particle

San Francisco, United States

Particle is a fully-integrated IoT platform providing hardware, connectivity, and cloud services for businesses deploying connected devices. Their core offering centers on edge computing capabilities, enabling data processing and device management directly on the hardware, reducing latency and bandwidth costs. Particle targets innovative companies building and scaling connected products across industries like industrial IoT, asset tracking, and connected vehicles.

Tamr

Cambridge, United States

Tamr provides an AI-native Master Data Management (MDM) platform that unifies and cleans data from disparate sources in real-time. Utilizing machine learning, their platform reduces manual data preparation by up to 90% and delivers trustworthy data for critical business functions. Tamr targets enterprises seeking to improve data accuracy, streamline operations – particularly in supply chain and customer data management – and accelerate AI initiatives.

Render

San Francisco, United States

Render is a cloud platform specializing in application deployment and scaling for developers. Their core offering is a unified infrastructure enabling users to build, deploy, and manage applications – including those leveraging AI – without managing underlying infrastructure. Render targets developers seeking a streamlined, end-to-end platform for rapid application delivery and scalability, with recent integrations focused on debugging AI applications via tools like Claude Code and Cursor.

Sylvera

London, United Kingdom

Sylvera is a UK-based climate tech company providing a data and analytics platform for the voluntary and compliance carbon credit markets. Utilizing machine learning and multi-scale lidar technology, Sylvera rates the quality of carbon credits and delivers pricing intelligence, supply/demand forecasts, and retirement data. Their platform serves enterprises, investors, and governments seeking transparency and risk mitigation in carbon offsetting and investment decisions.

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.

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.

Zama

Paris, France

Zama is a French cryptography company specializing in Fully Homomorphic Encryption (FHE) solutions. They’ve developed the Zama Confidential Blockchain Protocol, enabling confidential smart contract execution on any Layer 1 or Layer 2 blockchain without revealing underlying data. This technology targets blockchain developers and enterprises requiring privacy-preserving computation and data security while maintaining public verifiability and scalability.

Sight Machine

San Francisco, United States

Sight Machine delivers AI-powered analytics solutions for manufacturers, focusing on establishing a unified data foundation across all plant processes. Their core technology utilizes AI agents to connect, structure, and analyze disparate industrial data sources, enabling real-time insights and improved operational performance. This offering targets manufacturers seeking to rapidly deploy AI capabilities without significant IT infrastructure investment or lengthy implementation timelines.

Datagen

Tel Aviv, Israel

Datagen is an Israeli company specializing in the generation of photorealistic synthetic data for computer vision model development. Their core technology utilizes programmatic control over scene generation and domain randomization to produce large, diverse datasets with pixel-perfect annotations. This allows companies in industries like automotive, security, and retail to overcome data scarcity and bias challenges, accelerating AI model training and improving performance, particularly for edge cases.

Weaviate

Amsterdam, Netherlands

Weaviate is an open-source vector database that enables developers to build AI-native applications with semantic search capabilities. The platform simplifies AI infrastructure by handling vector embeddings, ranking, and auto-scaling, allowing users to connect custom or pre-built machine learning models without complex data pipelines. Weaviate targets developers and enterprises seeking a scalable, secure, and vendor-agnostic solution for knowledge graphs, recommendation engines, and other AI-powered 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.

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.

Lifebit

London, United Kingdom

Lifebit provides a data intelligence platform specializing in federated genomic and health data analysis for biomedical research. Their core technology is a federated lakehouse enabling secure, cross-institutional data access and analysis without requiring data transfer. Lifebit targets research organizations and healthcare institutions seeking to accelerate precision medicine discoveries while maintaining data privacy and compliance.

Instrumental

Palo Alto, United States

Instrumental provides an AI-powered data platform for manufacturers focused on improving product quality and yield. Their technology utilizes computer vision and machine learning to detect both known and previously unidentified defects during the assembly process. This enables manufacturers to proactively address issues, reduce scrap, and optimize production efficiency across complex assembly lines.

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.

Replicate

San Francisco, United States

aiming for informative, specific, and professional language: Replicate provides a cloud platform and API for deploying and scaling open-source machine learning models, currently hosting over 8,000 models including Stable Diffusion, Llama 2, and ControlNet. Their key innovation lies in containerizing models with Docker and executing them on scalable cloud infrastructure, simplifying the process of model serving and eliminating the need for users to manage infrastructure. Replicate serves a diverse user base of developers, researchers, and businesses seeking to integrate pre-trained AI capabilities into their applications, and recently achieved significant traction with its support for rapidly deploying and scaling generative AI models.

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.

Modal

New York, United States

Modal provides serverless cloud computing platform optimized for AI/ML workloads. Raised $87M Series B at $1.1B valuation.

Zebra Medical Vision

Kibbutz Shefayim, Israel

Zebra Medical Vision develops AI-based diagnostic tools for medical imaging, specifically focusing on automated detection of acute and chronic conditions in CT scans and X-rays. Their core technology utilizes deep learning algorithms to identify clinical findings, providing radiologists with a secondary read to improve accuracy and efficiency. Targeting hospitals and imaging centers, Zebra Medical Vision aims to reduce diagnostic errors and improve patient outcomes through scalable, AI-powered image analysis.

Cherre

New York, United States

Cherre provides a data integration and analytics platform specifically for the real estate industry. Their core technology unifies disparate real estate data sources into a single source of truth, leveraging data modeling and standardization to improve data quality and accessibility. This enables real estate investors, lenders, and developers to enhance decision-making, streamline operations, and accelerate AI initiatives through reliable, connected data.

DefinedAI

Seattle, United States

DefinedAI operates a marketplace for AI training data, connecting organizations with ethically sourced and annotated datasets for machine learning applications. Their core offering is a platform facilitating the buying, selling, and custom commissioning of diverse data types – including visual and transcribed data – with a focus on commercial safety and creator rights. DefinedAI targets companies developing and deploying AI, particularly those prioritizing ethical data practices and high-performance generative AI solutions.

Aerodyne

Cyberjaya, Malaysia

Aerodyne is a Malaysian-based digital transformation company specializing in AI-powered drone solutions for large-scale asset management. Their core offering, the Aerodyne H1 platform, utilizes AI and machine learning to analyze drone-captured data for predictive maintenance and optimization across industries like energy, agriculture, and infrastructure. Aerodyne targets enterprise clients seeking to reduce operational costs, improve efficiency, and mitigate risk through data-driven insights and automated inspections.

Apollo Agriculture

Nairobi, Kenya

Apollo Agriculture provides financial services and data-driven agricultural advice to smallholder farmers in Kenya. Their core offering leverages machine learning for credit scoring and provides personalized recommendations on input financing, planting, and harvesting techniques. By de-risking lending and optimizing farm management practices, Apollo enables increased yields and profitability for a traditionally underserved market.

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.

Tonic.ai

San Francisco, United States

Tonic.ai provides synthetic data generation solutions for software and AI development teams. Their platform creates realistic, fully relational datasets – including mock APIs – that mirror production environments while preserving data privacy and ensuring regulatory compliance through advanced redaction and synthesis techniques. Tonic.ai targets organizations needing comprehensive test data, particularly those working with sensitive information or lacking sufficient production data for robust development and QA processes.

Bodo

Pittsburgh, United States

Bodo is a US-based high-performance computing platform that accelerates Python-based data analytics and AI workloads. Their core technology is a compute engine designed to dramatically speed up and scale existing Python code – particularly pandas workflows – without requiring code rewrites. Bodo targets data science and analytics teams needing to process large datasets (terabytes to petabytes) with improved performance and reduced infrastructure costs, while maintaining compatibility with the Python ecosystem and avoiding vendor lock-in.

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.

Atomic AI

San Francisco, United States

Atomic AI is a U.S.-based biotechnology company focused on discovering novel RNA-targeted therapeutics. Their core technology is a deep learning platform that integrates computational modeling with proprietary wet-lab assays to identify and develop small molecule drugs and RNA-based medicines. Atomic AI targets pharmaceutical companies and research institutions seeking to expand their pipelines with innovative RNA-focused therapies.

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.

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.

Trusting Social

Ho Chi Minh City, Vietnam

Trusting Social is a fintech company that provides AI-powered credit risk assessment and digital identity solutions for lenders in emerging markets like India, Indonesia, and Vietnam. Their core product, Smart Credit Acquisition, utilizes alternative data and AI to generate credit scores for the 3 billion underbanked, enabling financial institutions to extend access to credit and reduce risk. They serve over 130 financial institutions, facilitating over $800 million in personal loans by significantly increasing disbursal rates through frictionless digital onboarding and fraud detection.

Lori Systems

Nairobi, Kenya

Lori Systems is a Kenyan logistics technology company that operates a digital freight marketplace connecting shippers and transporters across Africa. Their platform utilizes algorithms to optimize matching, route planning, and rate negotiation, focusing on reducing per-kilometer transportation costs. Lori Systems primarily serves businesses requiring regional freight services within and across African borders, offering increased transparency and reliability in a historically fragmented market.

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.

Chainlink Labs

San Francisco, United States

Chainlink Labs provides decentralized oracle services that connect smart contracts to real-world data and off-chain systems. Their core technology is a hybrid smart contract and decentralized oracle network, enabling secure and reliable data feeds for complex blockchain applications. Chainlink primarily serves the decentralized finance (DeFi) sector and increasingly, traditional financial institutions seeking to integrate with blockchain technology for tokenized assets and streamlined settlement processes.

MOSTLY AI

Vienna, Austria

MOSTLY AI is an Austrian company specializing in synthetic data generation for machine learning applications. Their platform utilizes generative adversarial networks (GANs) to create statistically accurate, privacy-safe datasets mirroring sensitive information. MOSTLY AI targets enterprises and data science teams requiring access to realistic data for AI model training and testing while adhering to data privacy regulations like GDPR.

Prospera (Valmont)

Tel Aviv, Israel

Prospera, a Valmont company, delivers AI-based crop monitoring solutions to commercial growers. Utilizing high-resolution imagery and deep learning algorithms, their platform identifies plant-level anomalies and provides actionable insights regarding irrigation, nutrition, and pest/disease management. This technology enables large-scale agricultural operations to optimize yield, improve resource utilization, and reduce operational costs through data-driven decision-making.

Wombo

Toronto, Canada

Wombo develops consumer AI applications and has expanded into distributed computing infrastructure. Their w.ai platform allows users to passively earn income by securely contributing their device’s idle processing power to a decentralized network. This network supports AI model training and aims to democratize access to computational resources for the development of artificial intelligence, backed by NVIDIA.

Encord

London, United Kingdom

Encord provides data annotation and model evaluation tools for building safer AI, with focus on quality control and active learning.

Silo AI

Helsinki, Finland

Silo AI is a Finnish AI lab specializing in the development and deployment of custom AI models and large language models for enterprise clients. The company focuses on optimizing AI solutions for high-performance compute platforms, leveraging a team of over 300 AI scientists and researchers. Through a combination of applied research and a significant, publicly-funded initiative (“Compute to Impact”), Silo AI aims to accelerate AI innovation and provide a full-stack solution – from model development to scalable deployment – for businesses seeking a competitive advantage.

Aerobotics

Cape Town, South Africa

Aerobotics is an AgTech company specializing in yield forecasting for fruit producers. Their platform utilizes computer vision and image analysis of smartphone photos to provide accurate measurements of fruit size, color, and quality throughout the growing season. This technology enables growers, packers, and marketers to improve operational planning and optimize resource allocation through data-driven yield predictions.

Railway

San Francisco, United States

Railway is a cloud infrastructure platform that simplifies the deployment and scaling of applications, with a specific focus on AI and machine learning workloads. The company provides developers with tools for local development and one-click deployments, abstracting away the complexities of cloud infrastructure management. Railway targets developers seeking to rapidly prototype and scale applications without requiring deep expertise in DevOps or distributed systems.

Aiforia

Helsinki, Finland

Here's a company description for Aiforia, based on the provided information and aiming for factual precision: Aiforia develops AI-powered software for analyzing digital pathology and medical images. Their core technology utilizes deep learning algorithms to automate and improve the accuracy of image analysis tasks, such as cancer detection and biomarker identification. Aiforia targets primarily pharmaceutical companies and pathology labs, offering tools to accelerate drug development and enhance diagnostic efficiency.

Paperspace

Brooklyn, United States

Paperspace provides cloud-based GPU infrastructure specializing in accelerated computing for AI and machine learning workloads. Their platform offers on-demand access to high-performance GPUs, including NVIDIA H100s, at competitive pricing compared to major cloud providers. Paperspace targets data scientists, machine learning engineers, and organizations seeking scalable and cost-effective compute resources without the capital expenditure of owning hardware.

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.

Chroma

San Francisco, United States

Chroma provides an open-source, embeddable vector database designed for building applications powered by Large Language Models (LLMs). The company’s core technology focuses on efficient semantic search and retrieval of data via vector embeddings, enabling developers to add memory and context to AI applications. Chroma targets developers and organizations seeking a scalable, customizable, and open-source alternative to proprietary vector database solutions for LLM-powered applications like chatbots, knowledge bases, and semantic search tools.

Sportlogiq

Montreal, Canada

Sportlogiq is a Canadian company specializing in hockey analytics powered by proprietary computer vision and machine learning technology. They deliver detailed, data-driven insights – including both raw data and video analysis – by automatically tracking on-ice player and puck movements beyond the scope of human observation. Their services are utilized by professional sports teams, leagues, media outlets, and performance analysis companies to improve player development, game strategy, and broadcast quality.

Atlas AI

Palo Alto, United States

Atlas AI is a geospatial intelligence company that leverages satellite imagery and machine learning to generate predictive economic indicators. Their core product is a platform providing granular, real-time forecasts of supply and demand across various sectors, particularly in emerging markets. This data enables investors, governments, and development organizations to make data-driven decisions regarding resource allocation and economic strategy in complex environments.

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.

LlamaIndex

San Francisco, United States

and aiming for a factual, specific, and professional tone: LlamaIndex provides a data framework and end-to-end agentic workflow platform designed to connect large language models (LLMs) with diverse data sources, including documents and images. Their core innovation lies in delivering highly accurate, OCR-powered document understanding and retrieval, enabling the creation of AI agents for complex tasks like automated document processing and enterprise automation. LlamaIndex targets businesses seeking to build LLM-powered applications requiring reliable data ingestion and contextual understanding from unstructured data, and positions itself as a leading framework for agentic workflows.

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.

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.

Voxel51

Ann Arbor, United States

Voxel51 provides a data curation platform specializing in tools for computer vision model development. Their core technology enables automated data transformation, cleaning, and analysis of large-scale visual datasets – reportedly processing over 20TB – to improve model accuracy. Voxel51 targets AI development teams seeking to optimize the performance of their computer vision applications through enhanced data quality and efficiency.

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.

Apheris

Berlin, Germany

Apheris provides a federated learning platform that enables collaborative AI model training across distributed, sensitive datasets – specifically within the life sciences industry. Their technology allows organizations to securely leverage both proprietary and public data to improve model accuracy and generalizability, without data ever leaving their control. This addresses a key challenge in life sciences AI development, where data diversity is limited by privacy and intellectual property concerns.

Qdrant

Berlin, Germany

Qdrant provides a high-performance, open-source vector database and search engine built in Rust. Their technology efficiently stores and searches high-dimensional vector embeddings, enabling fast similarity matching for applications like recommendation systems and Retrieval-Augmented Generation (RAG). Qdrant targets developers building AI-powered applications requiring scalable and reliable vector search, offering both self-hosted and managed cloud deployment options.

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.

Mathpix

San Francisco, United States

Mathpix provides AI-powered optical character recognition (OCR) specifically for STEM content within documents and images. Their core technology accurately converts PDFs and images containing complex mathematical equations, chemical structures, and tables into editable formats like LaTeX, DOCX, and Excel. Mathpix targets researchers, educators, and publishers who require rapid and precise digitization of scientific and technical materials for analysis, editing, and model training.

Niramai

Bengaluru, India

Niramai is an Indian health-tech company specializing in early breast cancer detection through its AI-powered diagnostic solution, Thermalytix. Thermalytix utilizes thermal imaging and machine learning to identify breast abnormalities in a non-invasive and radiation-free manner, offering an accessible and affordable screening option. Currently deployed in over 200 hospitals across 30 Indian cities, Niramai targets healthcare providers and patients seeking improved early detection rates and reduced reliance on traditional, often inaccessible, screening methods.

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.

Supahands

Kuala Lumpur, Malaysia

Supahands provides AI training data services, combining human expertise with machine learning for data annotation and content moderation.

Sieve

San Francisco, United States

Sieve provides infrastructure for deploying and scaling video and audio AI. Offers pre-built AI functions and serverless compute for media processing.

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.

Plumerai develops Larq, an open-source library for training and deploying extremely efficient binarized neural networks for edge devices.

Cerebrium is a serverless AI infrastructure platform for deploying and scaling machine learning models. Provides instant GPU access with automatic scaling.

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.

Quilt Data

San Francisco, United States

Quilt Data provides a data management platform specifically for life sciences research and development teams. Utilizing data versioning and AI-powered metadata tagging, Quilt organizes raw data, results, and associated metadata into searchable, versioned assets directly within a customer’s AWS environment. This enables improved data governance, collaboration, and accelerated research by establishing a single source of truth for complex scientific data.

BenevolentAI

London, United Kingdom

BenevolentAI is a UK-based company that leverages a proprietary knowledge graph and machine learning to accelerate drug discovery and development. Their platform analyzes complex biomedical data and scientific literature to identify promising drug candidates and targets, supporting R&D decisions for pharmaceutical and biotechnology companies. BenevolentAI differentiates itself through a decade of investment in building a uniquely comprehensive and interconnected life science intelligence system.

MLflow (Databricks)

San Francisco, United States

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

BorealisAI

Toronto, Canada

Borealis AI is the dedicated artificial intelligence research institute of Royal Bank of Canada, focused on advancing machine learning applications within the financial services sector. The company develops and deploys AI-powered solutions – leveraging a robust data platform – to improve RBC’s core banking operations and customer experiences. Borealis AI functions as an internal innovation engine, uniquely positioned to directly implement research into production systems for Canada’s largest bank.

Photomath

Zagreb, Croatia

Photomath is a mobile application leveraging computer vision and machine learning to provide step-by-step solutions to math problems. Users simply photograph a math equation, and the app displays both the answer and a detailed explanation of the solving process. Targeting students from middle school through college, Photomath offers accessible, on-demand math assistance and aims to improve conceptual understanding beyond simply providing answers.

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.

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.

Ray

San Francisco, United States

Ray (Anyscale) provides a unified, open-source distributed computing framework designed to simplify the development and deployment of AI and machine learning applications. Their core technology enables developers to scale Python-based AI workloads – including training and serving for models like LLMs and computer vision applications – across diverse infrastructure, from CPUs to GPUs. Ray targets organizations facing challenges with scaling AI initiatives and optimizing resource utilization, offering a solution to overcome the “AI Complexity Wall” and accelerate time to production.

Naver Labs

Seongnam, South Korea

Naver Labs is a South Korean AI research organization focused on advancing spatial intelligence technologies. Their core development is a robotic automation system designed for large-scale data center operations, leveraging AI for tasks like server maintenance and inventory management. This positions Naver Labs to serve the growing demand for automation within hyperscale data centers and potentially expand into other industrial robotics applications.

OpenCV

San Francisco, United States

OpenCV provides a comprehensive, open-source library of algorithms for computer vision and machine learning tasks. Its core technology centers around real-time image and video processing, including object detection, image analysis, and facial recognition. Primarily targeting developers and researchers, OpenCV enables the creation of practical computer vision applications across industries like robotics, automotive, and security systems, offering a cost-effective and highly customizable alternative to proprietary solutions.

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.

Supermicro

San Jose, United States

Supermicro designs and manufactures server and storage hardware specifically optimized for demanding artificial intelligence and GPU-accelerated workloads. Their product line focuses on high-performance, modular systems engineered to maximize GPU density and efficiency within data center environments. This positions Supermicro as a key infrastructure provider for organizations deploying AI applications in areas like machine learning, deep learning, and high-performance computing.

Synopsys

Sunnyvale, United States

Synopsys develops Electronic Design Automation (EDA) tools and Semiconductor IP used in the creation of complex integrated circuits. Their solutions increasingly leverage AI, particularly through collaborations with companies like NVIDIA, to accelerate chip design, verification, and heterogeneous integration – crucial for next-generation AI hardware. Synopsys targets companies developing advanced semiconductors for diverse markets including automotive, high-performance computing, and mobile applications, enabling faster time-to-market and improved silicon success rates.

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.

Tiger Global AI

New York, United States

Tiger Global AI is an investment firm specializing in both public and private equity within the artificial intelligence sector. They utilize proprietary AI-powered tools to identify and evaluate investment opportunities in high-growth technology companies, ranging from early-stage startups to publicly traded businesses. Their value proposition lies in leveraging data-driven insights to deliver superior returns for investors across the AI landscape.

Wolf Speed

Durham, United States

Wolfspeed is a U.S.-based semiconductor company specializing in silicon carbide (SiC) power devices and materials. They manufacture SiC MOSFETs and modules, including 200mm wafers, designed to improve the efficiency and performance of power electronics systems. Wolfspeed targets industries requiring high-performance power solutions, such as electric vehicles, renewable energy, and industrial power supplies, with a focus on enabling scalable and durable designs.

Epilog

Golden, United States

Epilog Laser develops and manufactures laser engraving, cutting, and marking systems integrating precision AI for industrial applications. Their core technology centers on high-performance CO2 and fiber laser machines, including galvo systems optimized for marking metal and plastic. Epilog targets businesses seeking to enhance production throughput and achieve professional-grade results in areas like manufacturing, product customization, and industrial marking.

Fastly

San Francisco, United States

Fastly provides an edge cloud platform that optimizes website and application performance, security, and scalability. Their core technology leverages a strategically designed, software-defined network to cache and deliver content – including dynamic content and API responses – with exceptionally low latency. Fastly targets businesses requiring high-performance digital experiences, particularly those in media, technology, and financial services, offering solutions for content delivery, security mitigation, and real-time data streaming.

Here's a company description for Gordian Knot, based on the provided information: Gordian Knot develops AI-powered cybersecurity solutions focused on network traffic analysis. Their core technology utilizes machine learning to detect and autonomously respond to advanced persistent threats and zero-day exploits within enterprise networks. This provides organizations with a proactive, automated defense layer beyond traditional signature-based security systems, reducing incident response times and minimizing potential damage.

Habana Labs

Caesarea, Israel

Habana Labs, an Intel company, designs high-performance AI processors specifically for deep learning workloads. Their primary product is the Gaudi® series of accelerators, engineered to efficiently handle both training and inference for large-scale generative AI models. Habana Labs targets data center and cloud service providers requiring optimized compute for demanding AI applications like autonomous vehicles and advanced AI deployments.

Holberton School

San Francisco, United States

Holberton School is a post-secondary institution offering an intensive, project-based computer science education. Their curriculum focuses on foundational CS principles and practical application of technologies like TensorFlow, React, and C, preparing students for roles in software engineering. Targeting career switchers and aspiring developers, Holberton differentiates itself by emphasizing why things work, not just how, and boasts a strong track record of graduate placement at leading tech companies.

iZotope

Cambridge, United States

iZotope develops advanced audio processing software leveraging machine learning for tasks like mixing, mastering, and dialogue editing. Their core technology centers on neural networks trained on vast datasets of professionally produced audio to deliver intelligent assistance and automated solutions for common audio challenges. Targeting audio engineers, musicians, and post-production professionals, iZotope provides tools that streamline workflows and enhance sonic quality with data-driven precision.

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.

Marqeta

Oakland, United States

Marqeta is a modern card issuing and payment processing platform that enables businesses to create and manage debit and credit card programs via an open API. Their technology focuses on real-time authorization, funding, and fraud detection to optimize card performance and reduce risk. Marqeta primarily serves innovators in sectors like on-demand delivery, fintech, and retail, offering a flexible infrastructure for embedded finance solutions and custom card programs.

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.

Opendoor

San Francisco, United States

Opendoor is a U.S.-based real estate company that directly purchases homes from sellers using an automated valuation model (AVM) powered by machine learning. This “iBuying” process provides homeowners with a quick, all-cash offer and allows them to bypass traditional listing and showing processes, targeting sellers prioritizing speed and convenience over potentially maximizing sale price. Opendoor generates revenue through reselling the purchased properties, functioning as a real estate intermediary leveraging AI to streamline transactions.

Parse.ly

New York, United States

Parse.ly provides content analytics and data pipeline infrastructure specifically for digital media companies and marketers. Their platform utilizes real-time event-level data processing to deliver an accessible dashboard and API for content performance insights and personalized content recommendations. By simplifying data access and analysis, Parse.ly enables editorial and marketing teams to optimize content strategy and demonstrate ROI without requiring specialized data science expertise.

Qualcomm AI

San Diego, United States

Qualcomm AI develops specialized semiconductor solutions that integrate AI processing directly onto mobile devices and edge computing infrastructure. Their core technology centers on AI engines embedded within Snapdragon platforms and dedicated edge AI compute, enabling on-device machine learning capabilities. This positions Qualcomm as a key enabler for applications requiring low-latency, power-efficient AI processing in areas like smartphones, automotive, and IoT devices.

Quantiphi

Marlborough, United States

Quantiphi is an AI-first digital engineering firm that implements data science and cloud-native AI solutions for enterprise clients. Their core offering centers on applying generative AI, machine learning, and data analytics to drive business transformation across industries. Quantiphi targets large organizations seeking to integrate AI at scale, focusing on realizing measurable ROI through practical, end-to-end implementations.

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.

Vertica

Cambridge, United States

Vertica, an OpenText company, provides a columnar analytics database designed for petabyte-scale data warehousing and lakehouse environments. Its core technology leverages AI-powered query optimization and a highly scalable architecture to deliver real-time analytics on large datasets. Vertica targets enterprises requiring high-performance data analysis for applications like predictive maintenance, fraud detection, customer 360 views, and optimized decision-making across diverse data sources.

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.

Ammagamma

Modena, Italy

Ammagamma is an Italian AI company providing machine learning solutions for manufacturing, retail, and financial services industries.

ML6 is a machine learning company helping enterprises implement AI solutions across computer vision, NLP, and predictive analytics.

Tryolabs

Montevideo, Uruguay

Tryolabs is a machine learning consultancy specializing in computer vision, NLP, and recommendation systems for global clients.

Nebius

Amsterdam, Netherlands

Nebius provides scalable GPU cloud infrastructure from single GPUs to thousands of NVIDIA chips for AI training and inference.