AI Research Companies

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 Cloud AI

Mountain View, United States

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

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.

Krafton

Seoul, South Korea

Krafton is a South Korean game developer leveraging artificial intelligence to enhance in-game content and non-player character (NPC) behavior. Their core technology focuses on deep learning models to create more dynamic and realistic interactions within their game environments. Targeting the global gaming market, Krafton aims to deliver immersive experiences through AI-driven content generation and intelligent NPC systems.

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.

OpenAI

San Francisco, United States

OpenAI is an AI research and deployment company dedicated to ensuring that artificial general intelligence benefits all of humanity. Creator of GPT-4, ChatGPT, DALL-E, and Sora.

CD Projekt

Warsaw, Poland

CD Projekt is a Polish game development company specializing in open-world role-playing games, most notably the Witcher and Cyberpunk series. They are integrating AI technologies to enhance non-player character (NPC) behavior and potentially for procedural content generation within their game worlds. Targeting core gamers who value immersive narratives and detailed environments, CD Projekt aims to deliver high-quality, emotionally engaging experiences through ambitious game design and increasingly sophisticated AI implementation.

Anthropic

San Francisco, United States

Anthropic is an AI safety company working to build reliable, interpretable, and steerable AI systems. Creator of Claude, focused on Constitutional AI and harmlessness research.

xAI

San Francisco, United States

xAI is a US-based artificial intelligence company focused on developing and deploying large language models with a stated mission of advancing scientific discovery. Their primary product is Grok, a generative AI model accessible via API, web, and mobile platforms, offering enhanced speed, precision, and multilingual capabilities. xAI targets both individual users seeking an AI assistant and developers looking to integrate advanced LLM functionality into their applications, as demonstrated by their API offerings and recent partnership with the government of El Salvador.

Ola

Bangalore, India

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

Thinking Machines Lab, founded by former OpenAI CTO Mira Murati, builds more understandable and customizable AI systems. Raised a record $2B seed round.

Reflection AI

San Francisco, United States

Reflection AI is developing large language models focused on reasoning and long-context understanding, with a core product currently in limited access called “Reflect.” The company differentiates itself through a novel architecture designed to improve model reliability and reduce “hallucinations,” aiming for more trustworthy generative AI outputs. Backed by a $2 billion Series B led by Nvidia valuing the company at $8 billion, Reflection AI is positioning itself as a key player in the open intelligence movement, making its models accessible for research and development.

Tempus AI

Chicago, United States

Tempus provides a platform combining comprehensive clinical and molecular data with artificial intelligence, primarily serving the oncology space. Their core offering is an operating system built upon the world’s largest library of such data, enhanced by recent advancements in generative AI like their clinical co-pilot, David, and digital pathology capabilities acquired through Paige. Tempus targets physicians, pharmaceutical companies, and patients seeking data-driven insights to improve cancer treatment decisions and accelerate drug development.

Indigo Agriculture

Boston, United States

Indigo Agriculture is an agricultural technology company focused on improving farm profitability and sustainability through a combination of biological seed treatments and data-driven regenerative agriculture programs. Their core technology utilizes naturally occurring microbes to enhance crop resilience and yield, coupled with a digital platform to measure and verify soil carbon sequestration for carbon credit generation. Indigo targets both farmers seeking increased productivity and corporations aiming to reduce Scope 3 emissions and meet sustainability goals through traceable, agriculture-based carbon offsets.

Momenta

Beijing, China

Momenta is a Chinese autonomous driving technology company developing full-stack solutions ranging from L2+ assisted driving to L4 autonomy. Their core technology centers on a data-driven “flywheel” approach, utilizing deep learning for perception, HD mapping, and path planning, delivered through products like Mpilot and MSD for mass-market vehicle integration. Momenta targets both automotive manufacturers seeking advanced driver-assistance systems and the emerging robotaxi market with a scalable, adaptable platform.

Blue Yonder

Scottsdale, United States

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

Pony.ai

Fremont, United States

Pony.ai develops full-stack autonomous driving technology, focusing on Level 4 perception, localization, planning, and control systems. The company deploys this technology in both robotaxi and trucking applications, operating a fleet for public and commercial use. Pony.ai targets the deployment of autonomous vehicles as a mobility service and freight solution in major urban centers and logistics hubs.

CRED

Bangalore, India

CRED is a fintech company operating in India that incentivizes responsible financial behavior among credit card users. Their core product leverages AI-powered risk assessment to curate a private community of high-credit score individuals, offering exclusive rewards and premium experiences. This targeted approach differentiates CRED by focusing on a financially stable demographic underserved by traditional rewards programs, fostering brand loyalty and reducing risk for partner businesses.

Safe Superintelligence (SSI), founded by OpenAI co-founder Ilya Sutskever, focuses exclusively on building safe superintelligent AI.

Lime

San Francisco, United States

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

Tabby

Dubai, United Arab Emirates

Tabby is a fintech company operating in the Middle East and North Africa (MENA) region, providing buy-now-pay-later (BNPL) services at the point of sale. Their core offering utilizes AI-driven credit assessment to enable consumers to split purchases into four interest-free monthly installments. Tabby targets digitally-native consumers and retailers seeking to increase conversion rates and average order values within a region with historically limited access to traditional credit.

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.

Shield AI

San Diego, United States

Shield AI develops AI-powered autonomous systems for defense applications, specializing in software that enables unmanned aerial vehicles to operate effectively in communication-denied environments. Their core product, Hivemind, is an AI pilot capable of independently executing complex flight plans and tactical maneuvers on platforms like the MQ-20 Avenger and Kratos’ MQM-178 Firejet. Shield AI targets the defense and security sectors by providing resilient, fully-autonomous capabilities that reduce operator workload and enhance mission success in contested environments.

Creditas

São Paulo, Brazil

Creditas is a Brazilian fintech company providing secured lending and financial services. They utilize AI-powered credit assessment to offer loans backed by assets like real estate and vehicles, enabling access to credit for a broader range of consumers. Unlike traditional lenders, Creditas focuses on providing longer repayment terms and lower rates by leveraging asset-backed security, and also offers financial wellness programs to corporate clients.

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.

Niantic

San Francisco, United States

Niantic develops augmented reality (AR) applications that overlay digital experiences onto the physical world. Their core technology leverages spatial mapping and AR to create location-based games and experiences, most notably demonstrated by the globally successful Pokémon GO. Niantic targets mobile gamers and aims to foster real-world exploration and community building through interactive AR experiences.

Hopper

Montreal, Canada

Hopper is a travel booking platform leveraging AI-powered price prediction to assist consumers with travel planning. Their core technology analyzes billions of data points to forecast future price fluctuations for flights, hotels, and car rentals, recommending optimal booking times. Targeting cost-conscious travelers, Hopper aims to deliver the lowest price on travel accommodations through data-driven insights and proactive price monitoring.

Loft

São Paulo, Brazil

Loft is a Brazilian PropTech company that utilizes AI-driven valuation models to facilitate the purchase and sale of residential properties. Their core product is a platform offering instant offers and streamlined transactions for over 50,000 listings across major Brazilian cities. Loft targets individual property owners and buyers seeking a faster, more transparent, and digitally-enabled real estate experience compared to traditional methods.

Weride

Guangzhou, China

WeRide is a publicly traded (Nasdaq & HKEX) autonomous driving technology company developing solutions ranging from Level 2 to Level 4 automation. Their core product is a fully autonomous Robotaxi service, currently deployed in over 30 cities across 11 countries. WeRide differentiates itself through commercial-scale deployment and a full-stack autonomous driving system, targeting urban mobility and delivery services.

HeartFlow

Redwood City, United States

HeartFlow is a US-based medical technology company that leverages AI to improve the diagnosis and management of coronary artery disease (CAD). Their primary product utilizes AI analysis of standard Coronary Computed Tomography Angiography (CCTA) scans to create a personalized 3D model of the patient’s coronary arteries, assessing both anatomy and blood flow. This technology is targeted towards cardiologists and healthcare systems seeking to reduce false positives/negatives in CAD diagnosis and enable more informed, patient-specific treatment decisions.

DeepBlue Technology

Shanghai, China

DeepBlue Technology is a Chinese AI company developing and deploying solutions across autonomous vehicles, robotics, industrial automation, and AI-driven healthcare. Their core technology centers on a comprehensive AI platform enabling data collection, learning, and application across these diverse fields. Recognized as a national-level “specialized, refined, and new” enterprise, DeepBlue targets industries seeking to integrate advanced AI capabilities for increased efficiency and innovation, and is backed by significant pre-IPO investment.

Carsome

Kuala Lumpur, Malaysia

Carsome is a Malaysian online platform for buying and selling used cars, leveraging AI to provide a streamlined transaction process. Their core technology is an AI-powered car inspection system that assesses vehicle condition and determines fair market value. Targeting individual car sellers and buyers across Malaysia, Carsome differentiates itself by offering a data-driven, transparent, and convenient alternative to traditional used car dealerships.

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.

Biofourmis

Boston, United States

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

Insilico Medicine

Hong Kong, Hong Kong

Insilico Medicine is a Hong Kong-based biotechnology company applying generative AI to accelerate the discovery and development of novel therapeutics. Their core technology is Pharma.AI, an end-to-end platform utilizing deep learning for target identification, molecule generation, and clinical trial prediction. Insilico Medicine focuses on discovering drugs for age-related diseases and extending healthy longevity, aiming to reduce the time and cost associated with traditional pharmaceutical R&D.

PatSnap

Singapore, Singapore

PatSnap provides AI-powered software for comprehensive intellectual property (IP) analysis and research & development (R&D) intelligence. Their platform utilizes natural language processing and machine learning to analyze a database of over 2 billion patents and scientific documents, enabling users to identify innovation opportunities and competitive threats. PatSnap primarily serves corporate R&D teams, IP professionals, and innovation consultancies seeking to accelerate their research processes and improve patent strategy.

Zhipu AI

Beijing, China

Zhipu AI is a Chinese artificial intelligence company specializing in the development of large language models (LLMs), most notably the GLM-130B and ChatGLM series. They provide both open-source and API access to their models, including those optimized for code generation (CodeGeeX) and visual understanding (CogView). Zhipu AI targets enterprise clients and developers in China, offering solutions for applications like chatbots, content creation, and AI-assisted workflows.

Ethos Life

San Francisco, United States

Ethos Life is a U.S.-based insurtech company leveraging AI-powered predictive modeling to streamline life insurance underwriting. Their core technology analyzes data from multiple sources – including medical records and public data – to provide instant, data-driven risk assessments and policy approvals. This enables Ethos to offer simplified, affordable life insurance to a digitally-native consumer base and underserved markets traditionally excluded from standard underwriting processes.

Yitu Technology

Shanghai, China

Here's a company description for Yitu Technology, based on the provided information and aiming for factual precision: Yitu Technology is a Chinese AI company specializing in computer vision and deep learning solutions. Their core product is a suite of AI algorithms and platforms focused on facial recognition, object detection, and medical image analysis. Yitu primarily serves the Chinese public safety sector and healthcare providers, offering solutions for surveillance, identity verification, and diagnostic assistance.

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.

Physical Intelligence is building foundation models for physical AI, enabling robots to learn general-purpose manipulation skills.

Valo Health

Boston, United States

Valo Health is a U.S.-based company applying artificial intelligence to accelerate pharmaceutical drug discovery and development. Their core product is the Opal Computational Platform™, which integrates machine learning with extensive human tissue and patient data to identify and advance potential drug candidates. Valo targets the pharmaceutical industry by offering a technology platform designed to reduce the time and cost associated with bringing novel therapies to market.

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.

Neuralink

Fremont, United States

Neuralink is a US-based neurotechnology company developing fully-implantable, high-bandwidth brain-computer interfaces (BCIs). Their primary product is the N1 chip, designed to record and stimulate brain activity with the goal of enabling control of external devices and ultimately restoring function for individuals with paralysis or neurological conditions. While initially focused on medical applications, Neuralink aims to create a generalized BCI platform with long-term potential for broader human-computer interaction.

Tala

Santa Monica, United States

Tala provides mobile-based financial services to individuals in emerging markets, focusing on those traditionally excluded from traditional banking systems. Their core technology is an AI-powered credit scoring engine that utilizes smartphone data to assess creditworthiness and facilitate loan disbursement. This allows Tala to offer accessible credit and financial tools to a largely unbanked population, bridging the gap between digital and cash economies.

Fractal AI

Mumbai, India

Fractal Analytics is a global provider of artificial intelligence and analytics solutions focused on enterprise applications. The company specializes in end-to-end AI implementation, and has recently been selected by the Indian government to develop the nation’s first Large Reasoning Model (LRM). Fractal targets large global enterprises seeking to integrate AI for improved decision-making and operational efficiency.

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.

Tamara

Riyadh, Saudi Arabia

Tamara is a Saudi Arabian fintech company providing buy-now-pay-later (BNPL) services to consumers and merchants. Their core product utilizes a proprietary credit risk assessment model to offer installment payment plans – up to 24 months – without charging late fees. Tamara differentiates itself by focusing on Shariah-compliant financial solutions within the rapidly growing e-commerce market of the Middle East.

Embark Trucks

San Francisco, United States

Embark Trucks develops autonomous driving software specifically for long-haul freight transportation. Their core technology is an SAE Level 4 driverless system designed to operate on pre-defined highway routes, integrating with existing truck hardware. Embark targets large freight carriers seeking to increase efficiency and address driver shortages through the deployment of autonomous long-haul trucking solutions.

Owkin

Paris, France

Owkin is a French AI company focused on accelerating drug discovery and precision medicine through advanced analysis of complex biological data. Their core product, the K PRO platform, utilizes agentic AI – a system of autonomous AI agents – to uncover causal relationships within multimodal patient data sourced from leading research institutions. Owkin serves pharmaceutical companies and academic researchers seeking to improve R&D efficiency and identify novel therapeutic targets by leveraging AI-driven insights beyond traditional analytical methods.

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.

Wayflyer

Dublin, Ireland

Wayflyer is a fintech company providing working capital to e-commerce businesses, including direct-to-consumer, Amazon, and wholesale brands. They utilize proprietary AI algorithms to rapidly assess a business’s growth potential and provide funding ranging from $5,000 to $20 million within 24 hours, without requiring personal guarantees or spend restrictions. This allows businesses to quickly access capital based on performance data rather than traditional credit assessments.

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.

Skild AI

Pittsburgh, United States

Skild AI develops scalable robot brain models that work across different robots and tasks. Raised $300M Series A at $1.5B valuation.

o9 Solutions

Dallas, United States

Here's a compelling 2-3 sentence description of o9 Solutions, based on the provided information: o9 Solutions is a provider of an AI-powered platform focused on integrated business planning and analytics. Their platform, leveraging machine learning and statistical modeling, enables enterprises to forecast demand, optimize supply chains, and manage integrated business planning processes. o9 Solutions primarily targets large, multinational corporations seeking to improve forecast accuracy and resilience across their end-to-end supply chain and planning operations.

Color Health

Burlingame, United States

Color Health provides integrated virtual cancer care programs for employers and health plans, focusing on early detection, treatment guidance, and ongoing support. Their core offering utilizes AI-driven risk assessment to improve screening adherence and accelerate diagnosis, coupled with a nationally licensed in-house medical team providing direct care. This comprehensive approach aims to shift cancer diagnoses to earlier, more treatable stages, ultimately improving outcomes and reducing healthcare costs for covered populations.

SparkCognition

Austin, United States

SparkCognition develops artificial intelligence solutions focused on complex, data-rich environments within industrial, government, and defense sectors. Their core technology is a proprietary general AI platform leveraging machine learning and knowledge graphs to deliver predictive and prescriptive analytics. This allows organizations to optimize asset performance, enhance cybersecurity posture, and improve decision-making in critical operations where traditional AI approaches fall short.

Seedtag

Madrid, Spain

Seedtag is a contextual advertising company leveraging computer vision and natural language processing to analyze web content. Their core product is a neuro-contextual advertising suite that utilizes machine learning to understand content beyond keywords, aiming to improve ad relevance and performance. Seedtag targets global brands seeking to enhance brand safety and campaign effectiveness through advanced, data-driven contextual targeting.

Recorded Future

Somerville, United States

Recorded Future is a cybersecurity firm that leverages AI to collect, analyze, and deliver real-time threat intelligence. Their primary product is a threat intelligence platform that utilizes machine learning to aggregate and contextualize data from a wide range of sources, including the dark web and technical blogs. They serve enterprise security teams and risk professionals seeking to proactively identify and mitigate cyber threats and improve incident response capabilities.

Viz.ai

San Francisco, United States

Viz.ai is an AI-powered care coordination platform specializing in the automated detection and analysis of acute medical conditions. Their core technology utilizes over 50 FDA-cleared algorithms to analyze medical imaging – including CT scans and EKGs – and rapidly identify suspected stroke and other time-sensitive diseases. Viz.ai targets hospitals and health systems, aiming to accelerate diagnosis, optimize clinical workflows, and improve patient outcomes through faster treatment decisions.

Vicarious

San Francisco, United States

Vicarious is an AI research company focused on developing human-level visual perception and reasoning capabilities for robotic automation. Their core technology centers on a recursive cortical network (RCN), a neuro-inspired AI architecture designed to solve complex problems with minimal data, mimicking human cognitive processes. Originally targeting industrial automation, Vicarious aimed to enable robots to perform nuanced, perception-driven tasks currently requiring significant human intervention.

Aidoc

Tel Aviv, Israel

Aidoc develops AI-powered clinical decision support software for medical imaging analysis. Their core product utilizes deep learning to flag time-critical anomalies in CT scans, MRIs, and X-rays, prioritizing urgent cases for radiologists. Targeting hospitals and radiology groups, Aidoc aims to improve diagnostic accuracy and accelerate care for patients with acute conditions like stroke, pulmonary embolism, and intracranial hemorrhage.

Liquid AI

Cambridge, United States

Liquid AI develops efficient foundation models based on liquid neural networks, a new AI architecture from MIT research.

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.

SmartNews

Tokyo, Japan

SmartNews is a global news discovery platform that utilizes machine learning algorithms to deliver personalized news feeds from a network of over 200 local and national publishers. Their core technology focuses on natural language processing and user behavior analysis to surface relevant and trending articles. Targeting a broad audience of news consumers, SmartNews differentiates itself by prioritizing local news coverage and providing a fast, data-efficient reading experience.

World Labs

San Francisco, United States

World Labs builds spatially intelligent AI capable of modeling and reasoning about objects, places, and interactions in 3D space and time. Founded by Fei-Fei Li, known as the 'Godmother of AI' and creator of ImageNet.

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.

Cleerly

New York, United States

Cleerly develops AI-powered software that analyzes cardiac CT scans to quantify and characterize coronary artery disease, including both calcified and non-calcified plaque. Their platform provides a detailed “Cleerly Score” assessing overall cardiac risk, moving beyond traditional stenosis-based assessments. This technology targets cardiologists and health systems seeking more precise and comprehensive early detection of heart disease to enable preventative interventions.

Covariant

Emeryville, United States

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

Paige AI

New York, United States

Paige AI develops AI-powered tools for pathology, focusing on improving cancer diagnosis and biomarker discovery. Their core technology leverages large foundation models trained on vast pathology datasets to assist pathologists in detecting cancer, subtyping tumors, and identifying molecular markers directly from tissue samples. Paige targets pathology labs and healthcare providers, aiming to increase diagnostic accuracy and efficiency while alleviating workload pressures.

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.

Sakana AI

Tokyo, Japan

Sakana AI is developing next-generation foundation models inspired by principles of neuroscience and natural intelligence. The Tokyo-based research lab is focused on building large language models intended to address specific needs within the Japanese market, with a stated goal of democratizing AI access domestically. Founded by former Google researchers, Sakana AI aims to differentiate its approach through biologically-inspired AI architectures, though specific model names or performance benchmarks are not yet publicly available.

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.

Labelbox

San Francisco, United States

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

Nference

Cambridge, United States

Nference is a U.S.-based company that leverages agentic AI to unlock insights from diverse, real-world clinical data sources – including radiology images, ECGs, and digitized pathology slides – linked to patient records. Their core technology utilizes multimodal AI agents to analyze this data, enabling accelerated biomedical research and the development of personalized care pathways. Nference targets pharmaceutical companies, research institutions, and healthcare providers seeking to improve drug discovery and patient outcomes through data-driven insights.

BioAge Labs

Richmond, United States

BioAge Labs is a US-based biotechnology company focused on developing therapeutics for cardiometabolic diseases by targeting the biological processes of aging. Their core technology is a human-first discovery platform that leverages decades of proprietary multi-omics data to identify and validate novel aging-related drug targets. Currently, BioAge is advancing BGE-102, a program targeting chronic inflammation, and a preclinical apelin receptor agonist with potential for significant weight loss, both aimed at addressing age-related metabolic dysfunction.

Knewton

New York, United States

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

Riiid

Seoul, South Korea

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

Primer AI

San Francisco, United States

Primer AI develops automated intelligence analysis platforms for the U.S. defense and intelligence communities. Their core technology utilizes advanced Natural Language Processing (NLP) – specifically large language models and machine reading – to rapidly synthesize insights from vast quantities of text data. This enables analysts to accelerate threat detection, monitor global events, and improve decision-making with greater speed and scale than traditional methods.

Appier

Taipei, Taiwan

Appier is a Taiwan-based AI solutions provider specializing in marketing technology. The company leverages agentic AI – built on multi-agent systems research – to power three core products: Ad Cloud for performance advertising, Personalization Cloud for customer engagement, and Data Cloud for unified audience insights. Appier targets businesses seeking to improve ROI through AI-driven automation and real-time personalization across their marketing channels.

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.

Magic

San Francisco, United States

Magic is an AI company developing frontier-scale code models designed to automate software engineering and AI research. Their core technology focuses on ultra-long context language models, leveraging 8,000 H100s to improve model performance and address AI alignment challenges. Targeting the advanced AI research community and software development organizations, Magic aims to accelerate progress towards safe Artificial General Intelligence (AGI) through automated code generation and model improvement.

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.

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.

Harrison.ai

Sydney, Australia

Harrison.ai is an Australian company developing AI-powered decision-support tools for medical imaging analysis. Their core technology rapidly analyzes chest X-rays, CT scans (head & chest), detecting over 100 radiological features to assist clinicians in faster and more accurate diagnoses. Currently deployed at over 1,000 healthcare sites globally, Harrison.ai targets radiology departments and healthcare providers seeking to improve diagnostic efficiency and patient outcomes.

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.

1X Technologies

Moss, Norway

1X Technologies develops humanoid robots integrating advanced AI for automating physical tasks in domestic environments. Their core product, the NEO robot, utilizes AI – including OpenAI models – to perform chores and provide personalized assistance through safe and intuitive human-robot interaction. Targeting the consumer market, 1X aims to deliver a practical solution for automating household labor and enhancing quality of life.

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.

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.

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.

Merantix

Berlin, Germany

Merantix is a German AI venture studio that develops and launches independent AI-driven companies. They focus on applied AI research and development, building solutions across multiple industries rather than offering a single product. Merantix targets opportunities where AI can deliver significant impact, functioning as both a creator and investor in these new ventures.

Healx

Cambridge, United Kingdom

Healx is a UK-based company applying artificial intelligence to accelerate drug discovery for rare diseases. Their core technology utilizes AI-driven drug repurposing – identifying and developing existing compounds for new applications – to build a pipeline of potential therapies. Healx focuses on addressing the 90% of rare diseases lacking treatment by de-risking the drug development process and efficiently scaling programs for conditions with limited patient populations.

Aaru

San Francisco, United States

Aaru builds AI-powered platforms like Knowledgeworks and Chemformer specifically for accelerating drug discovery and materials science research. Their core innovation lies in applying generative AI and knowledge graphs to predict novel molecular properties and design compounds with desired characteristics, significantly reducing reliance on traditional trial-and-error methods. Achieving unicorn status with a $1 billion valuation, Aaru partners with pharmaceutical companies and government agencies to address complex scientific challenges and expedite the development of new therapeutics and advanced materials.

Nansen

Singapore, Singapore

Nansen is a Singapore-based blockchain analytics platform specializing in on-chain data for the Web3 ecosystem. Their core product utilizes AI-powered analysis of over 300 million labeled wallet addresses across 20+ blockchains to identify emerging trends and “Smart Money” activity. Nansen primarily serves professional crypto investors and teams seeking data-driven insights for due diligence and informed trading decisions within the cryptocurrency market.

Qure.ai

Mumbai, India

Here's a company description for Qure.ai, based on the provided information: Qure.ai develops and deploys artificial intelligence solutions for radiology, focusing on automated interpretation of medical images like chest X-rays and CT scans. Their technology aids in the early detection of conditions such as tuberculosis and lung cancer, with a particular emphasis on deployment in resource-constrained environments. As the world’s most adopted healthcare AI, Qure.ai targets healthcare providers and networks seeking to improve diagnostic accuracy and access to care, particularly in emerging markets.

Waabi

Toronto, Canada

Waabi develops autonomous trucking technology utilizing a novel “Physical AI” approach. Their core product is an end-to-end AI model coupled with a high-fidelity neural simulator, enabling faster development and verification of self-driving capabilities compared to traditional methods. Waabi targets the long-haul trucking industry, offering a potentially more scalable and efficient path to Level 4 autonomy through reduced development costs and increased safety validation.

Prophesee

Paris, France

Prophesee is a French technology company specializing in event-based vision systems inspired by the human retina. They develop neuromorphic vision sensors – known as Dynamic Vision Sensors (DVS) – that capture data based on changes in a scene, enabling high-speed, low-latency, and low-power machine vision. Prophesee targets applications requiring robust performance in challenging conditions, such as industrial automation, robotics, and autonomous vehicles, by providing data previously undetectable by traditional cameras.

Pachama

San Francisco, United States

Pachama utilizes AI-powered analysis of satellite imagery and remote sensing data to independently verify the carbon sequestration rates of forestry-based carbon offset projects. Their technology provides transparent and reliable monitoring of forest carbon stocks, addressing concerns around additionality and permanence in the voluntary carbon market. This service targets corporations and organizations seeking to invest in high-quality, verifiable carbon removal with reduced risk of greenwashing.

Five AI

Cambridge, United Kingdom

Five AI develops software for autonomous vehicle safety validation and testing. Their core technology utilizes high-fidelity simulation and scenario generation to rigorously assess the safety of self-driving systems in complex and challenging environments. Specifically, Five AI partners with automotive industry leaders like Bosch to provide tools for validating autonomous vehicle performance before real-world deployment, addressing a critical need for safety assurance in the rapidly evolving autonomous vehicle market.

Signal AI

London, United Kingdom

Here's a company description for Signal AI, based on the provided information: Signal AI is a UK-based company specializing in the analysis of open-source data to deliver strategic insights for businesses. Their core technology is a Natural Language Processing (NLP) platform that monitors and extracts relevant information from global media, identifying emerging risks and opportunities. Signal AI primarily serves corporate risk, intelligence, and communications teams seeking to proactively manage reputational and operational threats.

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.

Prism Data

San Francisco, United States

Prism Data provides a cash flow underwriting infrastructure and analytics platform for lenders. Their core technology utilizes AI to predict credit risk and detect first-party fraud by analyzing cash flow data, independent of traditional credit scores. Targeting banks and fintechs, Prism Data enables expanded approval rates, reduced losses, and FCRA-compliant decisioning with explainable risk assessments for billions in loan originations.

Reka AI

San Francisco, United States

Reka AI builds multimodal foundation models that can understand text, images, video, and audio in a unified architecture.

Essential AI

San Francisco, United States

Essential AI, founded by former Google researchers, builds enterprise-focused foundation models optimized for business workflows.

RightHand Robotics

Somerville, United States

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

Genesis Therapeutics

Burlingame, United States

Genesis Therapeutics is a U.S.-based biotech company focused on de novo drug design for previously intractable protein targets. Their core technology is GEMS, a proprietary molecular AI platform integrating AI and physics-based modeling to generate highly potent and selective drug candidates. Genesis Therapeutics targets pharmaceutical companies and research institutions seeking to accelerate discovery for complex targets that have historically proven difficult to address with traditional methods.

Arterys

San Francisco, United States

Arterys is a U.S.-based medical imaging company offering a cloud-native AI platform for cardiology and oncology. Their core technology utilizes deep learning algorithms to analyze radiology scans, providing physicians with quantitative insights and aiding in diagnosis and treatment planning. Through a recent integration with Tempus, Arterys expands access to imaging data for both clinical care and pharmaceutical research, targeting healthcare providers and drug development companies seeking to improve precision medicine.

Affectiva

Boston, United States

Here's a company description for Affectiva, based on the provided information: Affectiva is a US-based company specializing in Emotion AI software that utilizes machine learning to detect and analyze complex human cognitive and emotional states from facial expressions. Their technology delivers nuanced emotion recognition capabilities, primarily serving the automotive industry for in-cabin monitoring and driver behavior analysis. Affectiva’s core value proposition lies in providing data-driven insights into human responses, enabling applications focused on safety, wellbeing, and personalized experiences.

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.

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.

AIRS Medical

Seoul, South Korea

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

Hume AI

New York, United States

Hume AI builds empathic AI that understands and responds to human emotional expressions. Provides APIs for emotion recognition in voice, face, and language.

Vuno

Seoul, South Korea

Vuno is a South Korean medical AI company specializing in the analysis of medical images, particularly in radiology. Their core product is a suite of AI-powered software designed to detect and quantify clinically relevant findings in chest X-rays and CT scans, aiding in the diagnosis of conditions like tuberculosis, lung cancer, and COVID-19. Vuno targets hospitals and diagnostic centers, offering tools to improve the accuracy and efficiency of image-based diagnoses and facilitate biomarker discovery.

Theator

Palo Alto, Israel

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

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.

54gene

Lagos, Nigeria

54gene builds a pan-African genomic database to improve drug discovery and development for diseases disproportionately impacting African populations. Utilizing AI-powered analysis of this data, they identify genetic factors relevant to disease and accelerate the creation of targeted therapeutics. Their unique value proposition lies in addressing the significant underrepresentation of African genomes in existing biomedical research, enabling more effective and equitable healthcare solutions.

Garner Health

New York, United States

Garner Health is a U.S.-based company applying AI to improve healthcare access and cost-efficiency for self-insured employers. Their core product is a clinical AI platform that analyzes provider data – including quality metrics, cost variations, and utilization patterns – to identify high-value care options. This enables employers to steer employees towards demonstrably better providers, ultimately lowering healthcare expenditures and improving employee outcomes.

Kheiron Medical

London, United Kingdom

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

Robust Intelligence

San Francisco, United States

Robust Intelligence, now part of Cisco, develops AI security solutions focused on identifying vulnerabilities in and protecting against attacks on machine learning models. Their core technology utilizes algorithmic red teaming – including a “Tree of Attacks” methodology – to proactively test and secure LLMs like GPT-4 and Llama-2 against jailbreaks and harmful output generation. This platform serves organizations deploying AI applications who require robust security testing and mitigation to confidently advance their AI initiatives, and is foundational to Cisco’s AI Defense and Foundation AI offerings.

Cognata

Rehovot, Israel

Cognata develops a physics-based, high-fidelity simulation platform for the autonomous vehicle industry. Their platform generates realistic and scalable synthetic data – including diverse scenarios and edge cases – to accelerate the testing and validation of autonomous driving systems. This allows automotive OEMs and Tier 1 suppliers to reduce development costs and time-to-market by minimizing reliance on costly and potentially dangerous on-road testing.

Realeyes

London, United Kingdom

Realeyes is a UK-based technology company that utilizes computer vision and AI to measure human emotional response and attention. Their core product, Vision AI, analyzes facial expressions via webcam to provide granular data on audience engagement with digital content. This technology serves brands, media companies, and technology firms seeking to optimize advertising effectiveness, enhance user authentication, and improve customer experience personalization.

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.

SigTuple

Bengaluru, India

Here's a company description for SigTuple, based on the provided information: SigTuple develops AI-powered solutions for automated medical diagnostics, specifically focusing on pathology workflows. Their core technology utilizes deep learning to analyze microscopic images of human blood and body fluids, enabling automated screening for diseases like diabetic retinopathy, anemia, and malaria. Targeting hospitals and diagnostic centers in India and emerging markets, SigTuple aims to improve access to accurate and affordable pathology services by reducing manual review and increasing throughput.

LeapMind

Tokyo, Japan

LeapMind is a Japanese technology company specializing in highly efficient deep learning models optimized for resource-constrained edge devices. Their core product is a neural network compression technology that significantly reduces model size and computational demands without substantial accuracy loss. This enables the deployment of advanced AI capabilities – particularly in visual and audio processing – into applications like robotics, automotive systems, and IoT devices where cloud connectivity is limited or undesirable.

Knoetic

San Francisco, United States

Knoetic is a US-based people analytics platform providing data-driven insights for strategic workforce planning. Their core offering combines a software platform with a proprietary network of over 2,000 Chief People Officers to benchmark data and share best practices. Knoetic specifically targets large enterprises and executive HR leadership seeking to improve talent strategy through comparative analytics and community-sourced intelligence.

Climate AI

San Francisco, United States

ClimateAI delivers enterprise-level climate risk forecasting specifically for the food and agriculture sector. Their core product, the ClimateLens platform, utilizes patented machine learning models and 1km spatial resolution to generate hyperlocal, actionable insights from diverse climate and weather data. This enables businesses across the agricultural supply chain to proactively mitigate risk, optimize operations, and inform strategic investment decisions without requiring in-house data science expertise.

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.

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.

Conjecture

London, United Kingdom

Conjecture is a UK-based AI research company developing a novel AI architecture focused on verifiable safety and control. Their core technology centers on building AI systems with inherent transparency and predictability, moving beyond traditional black-box approaches. This positions Conjecture to serve organizations and researchers prioritizing robust AI safety and alignment, particularly as advanced AI capabilities continue to develop.

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.

Twelve Labs

San Francisco, United States

Twelve Labs is a US-based AI company specializing in comprehensive video understanding through its foundational model, Marengo. Marengo delivers industry-leading performance in semantic video search and analysis, exceeding the capabilities of existing cloud-based and open-source alternatives. The company targets enterprise clients requiring advanced video intelligence for applications like content discovery, asset management, and automated video workflows.

Century Tech

London, United Kingdom

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

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.

Protagonist

Salt Lake City, United States

Protagonist is a US-based market intelligence firm that utilizes AI-powered narrative analytics to identify and measure the cultural and societal beliefs driving customer behavior. Their core technology employs NLP and machine learning to track and quantify narratives relevant to a brand, industry, or issue, providing clients with data-driven insights into public perception. Protagonist targets organizations seeking to proactively shape discourse, manage brand reputation, and optimize messaging for competitive advantage – including those facing crises or aiming to shift public opinion.

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.

Kavout

Seattle, United States

Kavout is a U.S.-based fintech company that provides AI-powered investment research tools and trading signals. Their platform utilizes a suite of proprietary AI “agents” – including InvestGPT and a Smart Money Tracker – to analyze over 11,000 stocks, ETFs, and crypto assets. Kavout targets retail and potentially institutional investors seeking data-driven insights and automated analysis to inform investment decisions.

Layer 6

Toronto, Canada

Layer6 is the AI center of excellence for TD Bank Group, focused on developing and deploying advanced AI solutions for the financial services industry. Their core technology centers on generative AI, specifically Retrieval-Augmented Generation (RAG) and Text-to-SQL models – exemplified by the TD Securities AI Virtual Assistant – alongside novel research in automated causal inference like their CausalPFN model. Layer6 uniquely translates cutting-edge AI research into impactful applications for over 27 million customers, providing data-driven insights and personalized financial services while contributing to the Canadian AI ecosystem.

Surge AI

San Francisco, United States

Surge AI is a US-based data labeling company specializing in high-quality training data for Reinforcement Learning from Human Feedback (RLHF) and Large Language Models (LLMs). Their core offering is a managed data labeling platform focused on complex annotation tasks like preference labeling and reward modeling, critical for aligning AI behavior. Surge AI targets AI developers and research teams building and refining generative AI applications requiring nuanced human input for optimal performance.

Metaphysic

London, United Kingdom

Metaphysic is a UK-based company developing generative AI tools for the entertainment industry, specifically focused on creating realistic synthetic media and digital humans. Their core technology enables the production of high-fidelity visual effects and content creation, reducing traditional production costs and timelines. Metaphysic targets film and VFX studios, offering a platform to ethically generate and integrate AI-driven assets into professional entertainment pipelines.

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.

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.

Modulai

Oslo, Norway

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

Liwwa

Amman, Jordan

Liwwa is a Jordanian fintech company providing unsecured loans to small and medium-sized enterprises (SMEs) in the MENA region. They utilize proprietary AI-powered credit scoring models to assess risk and streamline the loan underwriting process for businesses seeking financing between 7,000 and 100,000 JOD. This allows Liwwa to offer accessible capital to SMEs traditionally underserved by conventional lending institutions due to a lack of collateral.

Elicit

San Francisco, United States

Elicit is a research AI company that leverages large language models to automate the analysis of scientific and clinical literature. Their core product is an AI research assistant capable of searching, summarizing, and extracting key data points from a database exceeding 138 million academic papers and clinical trials. Elicit primarily serves the academic and industry research communities, offering a solution to accelerate literature review and knowledge discovery.

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.

Curious AI

Helsinki, Finland

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

Zindi

Cape Town, South Africa

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

Google DeepMind

London, United Kingdom

Google DeepMind is a world leader in artificial intelligence research. Known for AlphaGo, AlphaFold, and Gemini. Merged with Google Brain in 2023.

Meta AI

Menlo Park, United States

Meta AI (formerly FAIR) is Meta's AI research division. Creator of LLaMA, PyTorch, and leading research in computer vision, NLP, and embodied AI.

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.

Alibaba DAMO Academy

Hangzhou, China

DAMO Academy is Alibaba's global research initiative covering AI, computer vision, and autonomous systems. Creator of Qwen models.

Tencent AI Lab

Shenzhen, China

Tencent AI Lab is a research division of Tencent focused on advancing artificial intelligence capabilities across multiple modalities including natural language processing and computer vision. Their primary development is Hunyuan, a large language model intended for integration into Tencent’s extensive product ecosystem. The lab targets internal applications within Tencent’s services, as well as potential commercialization of AI solutions within the Chinese market.

Samsung AI

Seoul, South Korea

Samsung AI develops and integrates on-device artificial intelligence capabilities across Samsung’s consumer electronics portfolio, including smartphones, home appliances, and wearables. Key innovations center around their E2E Speech LLM solution – encompassing voice and sound AI – and advancements in vision AI for applications like real-time multilingual translation, audio enhancement (including noise reduction and source separation), and intelligent image analysis. This research aims to deliver enhanced user experiences through features like improved voice assistants, personalized content recommendations, and more intuitive device interactions, with a focus on efficient, on-device processing for privacy and responsiveness.

Naver AI

Seongnam, South Korea

Naver AI Lab is the artificial intelligence research and development division of NAVER Corporation, focused on advancing core AI technologies for its search engine and broader services. Their primary development is HyperCLOVA, a large language model (LLM) powering features like query understanding, content generation, and translation. Targeting the Korean language market specifically, Naver AI Lab differentiates itself by building LLMs optimized for the nuances and complexities of Korean, a historically underserved language in AI development.

Kakao Brain

Seongnam, South Korea

Kakao Brain is a leading AI research lab specializing in large language and vision models, most notably developing Korea’s first native large language model, KoGPT. Their innovations include hyper-realistic image generation models like DALL-E-inspired “MinDALL-E” and advancements in AI-powered services integrated within Kakao’s widely-used messaging app and portal, including AI-driven chatbots and image search. Kakao Brain recently open-sourced several of their models and datasets, contributing to the growth of the AI ecosystem in Korea and beyond, and was integrated into Kakao Enterprise in 2023 to focus on business applications.

AI Singapore

Singapore, Singapore

AI Singapore (AISG) is a national program focused on accelerating AI innovation through applied research and talent development. AISG fosters collaboration between Singapore’s research institutions and private sector companies, funding projects in areas like computer vision, natural language processing, and machine learning algorithms with a focus on use-inspired research. Since its launch in 2017, AISG has supported numerous national projects and initiatives aimed at responsible AI development, including research into AI ethics, fairness, and safety, and has become a central hub for growing Singapore’s AI ecosystem.

Toronto AI Lab

Toronto, Canada

The Vector Institute is a leading Canadian AI research hub focused on advancing and commercializing deep learning technologies. Their research spans critical areas like privacy-preserving AI, security, and healthcare applications, with a recent study quantifying AI’s $100 billion economic impact across Canada. Vector collaborates with industry partners – such as CIBC – and offers programs designed to accelerate AI adoption and responsible development across multiple sectors, establishing them as a key driver of AI-led economic growth in Canada.

Mila

Montreal, Canada

and aiming for a professional, informative tone: Mila, founded in 1993 by Yoshua Bengio, is a leading Quebec-based research institute specializing in deep learning and generative models, with a particular focus on AI safety and responsible development. The institute coordinates the work of over 140 affiliated professors across multiple universities – including Université de Montréal, McGill, and Polytechnique Montréal – conducting research in areas like natural language processing and machine learning theory. Mila actively translates research into real-world impact through initiatives like the AI Policy Frontline and the TRAIL program, aiming to address critical challenges at the intersection of AI and public policy.

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.

Redwood Research

Berkeley, United States

Redwood Research is a US-based AI safety nonprofit focused on mitigating catastrophic risks from advanced AI systems. Their core research centers on “AI control” protocols – techniques for reliably monitoring and preventing subversion by potentially deceptive large language models, even when those models intentionally conceal misaligned intentions. They serve as a critical resource for both governments and leading AI developers like Google DeepMind and Anthropic, providing expertise and methodologies for assessing and mitigating AI safety risks.

Apollo Research

London, United Kingdom

Apollo Research is a UK-based AI safety and alignment company specializing in the detection of deceptive behavior in advanced AI systems, particularly large language model agents. They develop and implement novel AI model evaluations focused on “scheming” – covertly pursuing misaligned objectives – and provide technical expertise to governments and international organizations on AI governance and regulation. Their core offering is third-party evaluation of frontier AI models, alongside consultancy services for responsible AI development frameworks and policy guidance.

Center for AI Safety

San Francisco, United States

The Center for AI Safety is a US-based nonprofit focused on mitigating potentially catastrophic risks from advanced artificial intelligence. They conduct and fund research into AI safety, with a particular emphasis on identifying and addressing vulnerabilities in increasingly capable AI systems – offering resources like a dedicated compute cluster to support this work. Their primary audience includes AI researchers, policymakers, and stakeholders concerned with the responsible development and deployment of powerful AI technologies.

AI Fund

Palo Alto, United States

AI Fund is a venture studio that actively co-founds AI-driven companies alongside entrepreneurs and corporate partners. Leveraging over $370 million in backing and the expertise of Andrew Ng, they provide pre-seed funding, technical talent, and a company-building methodology to rapidly launch ventures. AI Fund focuses on applying AI to solve complex problems across industries like maritime, finance, and relationship management, partnering with those possessing deep domain expertise.

Technology Innovation Institute

Abu Dhabi, United Arab Emirates

Technology Innovation Institute (TII) is a UAE-based research center focused on advanced technology development, with a core competency in artificial intelligence. TII is the creator of the open-source Falcon series of large language models, notable for their performance and accessibility. As part of the Abu Dhabi government’s research ecosystem, TII aims to advance scientific knowledge and deliver impactful technologies through both independent research and international collaboration.

Riken AIP

Tokyo, Japan

and focusing on being informative and specific: Riken AIP develops advanced AI models and systems, notably the “Deep Learning Infrastructure” and research into neuromorphic computing inspired by the human brain. Their key innovations center on sparse activation and asynchronous processing to dramatically reduce computational costs and energy consumption in deep learning, aiming for more efficient and scalable AI. As Japan’s leading AI research center, Riken AIP collaborates with industry partners to translate fundamental research into practical applications across fields like robotics, healthcare, and materials discovery.

Exscientia

Oxford, United Kingdom

Recursion is a clinical-stage technology company applying artificial intelligence to drug discovery and development. Their Recursion OS platform integrates extensive biological and chemical datasets – exceeding 65 petabytes – with automated experimentation and machine learning to rapidly identify drug candidates and optimize molecule design. Targeting conditions with high unmet need like cancer and rare diseases, Recursion aims to significantly improve the efficiency and reduce the failure rate traditionally associated with pharmaceutical research.

Isomorphic Labs

London, United Kingdom

Isomorphic Labs is a UK-based AI company applying advanced machine learning to accelerate drug discovery and molecular design. Building upon the AlphaFold protein structure prediction technology, they develop predictive and generative AI models to design novel molecules and anticipate drug performance. Their focus is on leveraging AI to address complex diseases and fundamentally transform the pharmaceutical research process for potential breakthroughs in medicine.

DeepSeek

Hangzhou, China

DeepSeek is a China-based AI company developing and releasing open-source large language models (LLMs) focused on coding and general reasoning capabilities. Their product line includes DeepSeek-LLM, DeepSeek-Coder, and the recently released DeepSeek-MoE, utilizing a Mixture-of-Experts architecture for enhanced performance. DeepSeek targets developers and researchers by providing both open-source models and commercial API access to their advanced LLMs.

InstaDeep

Tunis, Tunisia

InstaDeep develops AI-powered decision-making systems, specializing in deep reinforcement learning and combinatorial optimization algorithms like those used in their DeepMind-collaborated protein folding work with AlphaFold. Their technology is applied to complex challenges in life sciences – notably demonstrated by their collaboration with BioNTech to accelerate drug discovery and vaccine development – and industrial applications like logistics and supply chain optimization. Acquired by BioNTech in 2023, InstaDeep leverages GPU-accelerated computing and has achieved research breakthroughs presented at leading AI conferences like NeurIPS, solidifying their position as a leader in applied AI research.

Stats Perform

Chicago, United States

Stats Perform is a sports AI company that provides detailed, real-time data and analytics to the global sports industry. Their core product, Opta, is a comprehensive sports data engine powering 8 proprietary AI models used for predictive analytics and performance insights. Stats Perform serves professional sports teams, broadcasters, media outlets, and betting operators, enabling enhanced content creation, strategic decision-making, and improved fan engagement.

Second Spectrum

Los Angeles, United States

Here's a company description for Second Spectrum, based on the provided information: Second Spectrum is a US-based sports analytics company specializing in automated tracking and data collection using computer vision. Their core product, Performance Studio, delivers detailed player and ball movement data to professional sports leagues like the NBA. This technology enables teams and broadcasters with objective insights for performance analysis, strategy development, and enhanced content creation.

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.

Here's a company description for Magic Media, based on the provided information: Magic Media is a U.S.-based company specializing in AI-driven solutions for game development. Their core offering is an AI platform that generates game assets – including 2D and 3D art, textures, and level designs – based on developer-defined parameters. This technology targets independent game studios and larger developers seeking to accelerate content creation and reduce art production costs.

Remini

Beijing, China

Remini is a Chinese AI company specializing in image restoration and enhancement. Their core technology utilizes deep learning algorithms to upscale, deblur, and repair low-resolution or damaged photos and videos. Primarily targeting consumers with personal photo collections, Remini offers a mobile application to improve the quality of visual memories and digitally archived content.

Carnegie Learning

Pittsburgh, United States

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

Kensho

Cambridge, United States

Kensho, an S&P Global company, develops AI-powered data analytics solutions for the financial and business sectors. Their core technology utilizes natural language processing and machine learning to extract, structure, and enrich data from sources like financial audio, text documents, and unstructured datasets. Kensho’s offerings primarily serve financial institutions and data science teams by providing tools for data connection, knowledge discovery, and the creation of custom machine learning models, leveraging S&P Global’s extensive data assets.

Rethink Robotics

Bochum, Germany

Rethink Robotics was a German firm specializing in the development of collaborative robots (cobots) for manufacturing applications. Their core product line featured Baxter and Sawyer, research-focused cobots designed for adaptability and ease of reprogramming in dynamic production environments. The company targeted manufacturers seeking to automate tasks requiring flexibility and human-robot collaboration, particularly those with high-mix, low-volume production runs.

TuSimple

San Diego, United States

TuSimple develops Level 4 autonomous driving technology specifically for long-haul semi-trucks. Their core product is an autonomous driving stack integrating perception, prediction, planning, and control systems, enabling hub-to-hub freight transportation. Targeting the multi-billion dollar long-haul logistics market, TuSimple aims to increase efficiency and reduce costs through the deployment of self-driving truck fleets on pre-defined routes.

Endel

Berlin, Germany

Endel is a German technology company developing AI-powered generative audio environments designed to improve cognitive performance and wellbeing. Their core product utilizes a patented algorithm that creates personalized soundscapes adapting in real-time to user-specific data like time of day, weather, and biometrics. Endel targets individuals seeking to enhance focus, reduce stress, and improve sleep quality through scientifically-backed auditory experiences.

LG AI Research

Seoul, South Korea

LG AI Research focuses on developing and deploying large language models, with its flagship product being EXAONE, a 1.3 trillion parameter LLM trained on a massive dataset of text and code. The company is a key driver of Korea’s national AI strategy, spearheading the country’s sovereign AI initiative and focusing on advancements in generative AI and multimodal models. LG AI Research aims to apply these technologies across LG’s diverse business portfolio – including appliances, electronics, and business solutions – and is positioned to serve enterprise clients seeking customized AI solutions.

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.

Sophia Genetics

Lausanne, Switzerland

Sophia Genetics is a Swiss healthcare AI company that develops and provides the SOPHiA DDM™ platform, a suite of analytical tools for genomic data interpretation. Their platform utilizes AI and machine learning to analyze genomic profiles, specifically for applications in oncology and rare genetic disorders. Targeting clinical laboratories and hospitals primarily within Europe, the UK, Switzerland, and Israel, Sophia Genetics offers both research-use and CE-IVD certified diagnostic solutions to aid in precision medicine and improved patient outcomes.

Surfboard AI

London, United Kingdom

Surfboard AI develops AI-powered scheduling solutions for contact center and support teams. Their core technology utilizes predictive analytics to forecast contact volume and automatically generate optimal agent schedules, improving resource allocation and reducing wait times. The company targets businesses seeking to enhance operational efficiency and customer satisfaction through data-driven workforce management.

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.

Whisper (OpenAI)

San Francisco, United States

OpenAI’s Whisper is an open-source automatic speech recognition (ASR) system trained on a massive, diverse 680,000-hour dataset of multilingual speech. Utilizing a Transformer-based encoder-decoder architecture, Whisper excels in robustness to accents and background noise, offering both transcription and translation capabilities across multiple languages. This technology targets developers seeking to integrate highly accurate and versatile speech-to-text functionality into a wide range of applications, particularly where diverse audio conditions or multilingual support are critical.

Xpeng

Guangzhou, China

Xpeng is a Chinese manufacturer developing smart electric vehicles focused on integrating advanced driver-assistance systems (ADAS) and autonomous driving technology. Their primary offering centers around a full-stack autonomous driving platform, currently marketed as XPILOT and CITY PILOT, enabling Level 2 and Level 3 capabilities across their vehicle lineup. Xpeng targets the growing premium EV market in China and internationally by emphasizing technologically advanced vehicles that prioritize a seamless and intelligent driving experience.

Cambrian AI develops AI-powered software for industrial robotics, specifically focusing on computer vision and manipulation tasks. Their core offering appears to be algorithms enabling robots to perform complex physical actions in manufacturing and industrial settings. Currently, the company’s primary business activity is the sale of its domain name, suggesting a potential shift in strategy or early-stage development prior to full product launch.

Cotiviti

Atlanta, United States

Cotiviti is a healthcare analytics company that utilizes AI-powered solutions to identify and recover overpayments and ensure accurate risk adjustment. Their platform leverages extensive clinical and financial datasets to provide retrospective payment accuracy and comprehensive analytics across the healthcare payment lifecycle. Cotiviti primarily serves health plans and providers seeking to improve financial performance and optimize revenue through data-driven insights and compliance solutions.

EQT Group

Stockholm, Sweden

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

Grubhub

Chicago, United States

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

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.

LexisNexis Risk Solutions

Alpharetta, United States

LexisNexis Risk Solutions provides data analytics and risk management solutions leveraging a vast database of public and private records. Their core technology centers on proprietary data linking and machine learning algorithms to deliver identity verification, fraud detection, and risk assessment insights. Primarily serving the financial services, insurance, and government sectors, LexisNexis Risk Solutions enables organizations to make more informed decisions and mitigate risk exposure.

Neura

Palo Alto, United States

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

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.

Pinterest AI

San Francisco, United States

Pinterest AI develops and deploys computer vision and recommendation algorithms to enhance visual discovery within its platform. Their technology powers features like visual search, personalized feed ranking, and related pin suggestions, enabling users to find inspiring ideas across various lifestyle categories. Targeting users seeking inspiration and planning for life events, Pinterest leverages AI to connect them with relevant visual content and products.

Planet Labs

San Francisco, United States

Planet Labs provides daily, global satellite imagery and geospatial analytics to commercial and government clients. Their core offering leverages a large constellation of satellites – including next-generation platforms like Owl™ and Pelican – and AI-powered analysis to deliver frequent, high-resolution Earth observation data. This enables customers to monitor change, gain insights, and make data-driven decisions across sectors like agriculture, mapping, and defense.

Pluralsight

Draper, United States

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

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.

Reddit

San Francisco, United States

Reddit operates a large-scale online discussion platform comprised of user-created communities. The company leverages AI, particularly natural language processing and machine learning, to moderate content, personalize recommendations, and enhance community safety across its platform. Reddit’s unique value proposition lies in fostering highly engaged, niche communities and providing real-time insights into public opinion and emerging trends, making it a key data source for understanding diverse interests and viewpoints.

Root Insurance

Columbus, United States

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

Snap AI

Santa Monica, United States

Snap AI develops augmented reality (AR) experiences and utilizes computer vision technology primarily for its Snapchat platform. Their core product, Lens Studio, empowers developers to create AR lenses and filters powered by AI, enabling real-time visual effects and interactive experiences. Targeting a demographic of digitally-native users and AR creators, Snap AI differentiates itself by integrating AI-driven visual tools directly within a widely-used social communication platform.

TikTok AI

Beijing, China

TikTok AI develops and deploys machine learning algorithms to personalize content recommendations within the TikTok short-form video platform. Their core technology centers on a deep learning-based recommendation system that analyzes user interactions and video attributes to maximize engagement. Targeting a global user base of over one billion, TikTok AI differentiates itself through highly effective, rapidly adapting algorithms optimized for mobile video consumption.

Bytedance

Beijing, China

ByteDance is a Chinese technology company developing and operating globally-reaching content platforms, most notably TikTok and Douyin. Their core AI technology centers on recommendation algorithms and machine learning models that personalize content feeds to maximize user engagement. Targeting a broad demographic of content consumers and creators, ByteDance differentiates itself through highly effective AI-driven content discovery and delivery at scale.

SDAIA

Riyadh, Saudi Arabia

The Saudi Data and AI Authority (SDAIA) is the governmental body responsible for developing and executing Saudi Arabia’s national AI strategy. SDAIA focuses on establishing a robust data and AI ecosystem through initiatives like national data platforms and AI-powered solutions for public sector applications. Its primary value proposition is to accelerate Saudi Arabia’s digital transformation and achieve the goals outlined in Vision 2030 by leveraging data and artificial intelligence.

OCP Group

Casablanca, Morocco

OCP Group leverages artificial intelligence and machine learning to enhance efficiency across its phosphate mining operations and fertilizer production. Their core technology centers on predictive analytics applied to geological data, equipment maintenance, and agricultural yield optimization. Targeting both internal operational improvements and data-driven solutions for farmers, OCP Group aims to secure phosphate supply chains and improve agricultural productivity in Africa and beyond.

Anthropic Safety

San Francisco, United States

Anthropic develops advanced large language models, most notably the Claude family of AI assistants, with a core focus on safety and interpretability. Their key innovations include “Constitutional AI” – a technique for aligning AI behavior with a set of principles – and “circuit tracing,” which allows researchers to visualize and understand the internal reasoning processes within Claude models. Anthropic’s research and technology are targeted towards developers and enterprises seeking reliable and steerable AI, demonstrated by projects like “Project Vend” exploring real-world AI task completion and ongoing efforts to enable AI introspection and cross-lingual reasoning.

Trillion Labs

Seoul, South Korea

Trillion Labs built Tri-70B, the largest Korean-specialized LLM at 70 billion parameters. Leading domestic AI model developer.

MIRI

Berkeley, United States

The Machine Intelligence Research Institute (MIRI) is a research nonprofit studying the mathematical underpinnings of intelligent behavior to ensure AI systems are safe and beneficial.

Allen Institute for AI

Seattle, United States

The Allen Institute for AI (AI2) develops AI models and tools focused on advancing scientific discovery, with a current emphasis on large language models for research and robotic automation. Their core technology centers around building and benchmarking AI agents – exemplified by the Asta platform – and applying AI to planetary-scale data analysis. AI2 uniquely targets the research community through an “open-first” approach, providing open-source resources and rigorous benchmarks to accelerate AI development in both scientific and practical applications.

EleutherAI

Remote, United States

EleutherAI is a US-based research collective focused on creating and openly releasing large language models (LLMs). Their core technology centers on training and analyzing LLMs, with a current research emphasis on eliciting and interpreting internal model knowledge (“ELK”) to improve transparency and verifiability. They uniquely serve the AI research community and developers by providing accessible, powerful open-source LLMs and tools for studying model behavior.

LAION

Remote, Germany

LAION is a German non-profit organization focused on building and distributing large-scale, open-source datasets and models for machine learning research. Their core technology centers on web-scraping and data processing pipelines to create publicly available resources like LAION-5B, a multi-modal dataset used for training large language and image models. LAION uniquely serves the broader AI research community by lowering the barrier to entry and promoting resource efficiency through dataset reuse, particularly for those lacking extensive computational resources.

Cohere for AI

Toronto, Canada

Cohere for AI develops and openly releases large language models and related machine learning research. Their core technology centers on foundational LLM development, with a strong emphasis on open science and collaborative research. Cohere uniquely targets the academic, civic, and impact-focused sectors by providing free API access and fostering a broad open-source community to accelerate responsible AI development and deployment.

AI2 Incubator

Seattle, United States

AI2 Incubator is an early-stage venture program that builds and invests in AI-first startups, originating from and closely affiliated with the Allen Institute for AI. Their core offering is a combination of seed funding, technical mentorship leveraging AI research expertise, and operational support for founders. They uniquely target and cultivate companies building fundamentally new applications of artificial intelligence, rather than applying AI to existing business models.

Latent Space

San Francisco, United States

Latent Space operates a leading AI-focused media and content platform, primarily through its widely-read “AI Engineer” newsletter and accompanying podcast. Their core offering centers on curating and disseminating technical insights into applied AI, including agent technologies, developer tools, and open-source models. Latent Space targets AI practitioners and engineers, providing a valuable resource for staying current with rapidly evolving developments in the field and benefiting from perspectives of prominent AI researchers and developers.

Intrinsic develops a full-stack software platform for industrial robotics, enabling the creation and deployment of automated systems. Their core technology centers on AI-powered simulation, reinforcement learning, and computer vision to streamline robot programming and operation. Targeting developers and industrial businesses, Intrinsic uniquely offers a platform to accelerate robotics development and address complex automation challenges through open competition and collaborative tooling.