Computer Vision Companies

Tesla AI

Palo Alto, United States

Tesla AI engineers end-to-end neural networks powering its Autopilot driver-assistance system and the development of its Full Self-Driving (FSD) capability, utilizing a massive fleet-collected dataset for training and validation. Key innovations include advanced computer vision based on video prediction and a data-centric approach to AI model improvement, exemplified by the recent move to fully convolutional networks for FSD. Beyond automotive applications, Tesla AI is developing Optimus, a general-purpose humanoid robot intended for automated tasks, leveraging similar AI infrastructure and computer vision techniques.

John Deere AI

Moline, United States

John Deere AI develops intelligent solutions for agricultural and construction equipment, most notably its autonomous 8R and 9R tractor platforms and the See & Spray™ Ultimate technology. Utilizing computer vision and machine learning, See & Spray™ selectively identifies and targets weeds in-season, reducing herbicide use by up to 80%. These innovations are targeted towards large-scale agricultural operations seeking to improve efficiency, reduce input costs, and promote sustainable farming practices, and have earned John Deere recognition for its advancements in precision agriculture technology.

Mobileye

Jerusalem, Israel

Mobileye develops and deploys vision-based advanced driver-assistance systems (ADAS) and autonomous driving solutions for the automotive industry. Their core technology centers around computer vision powered by machine learning, specifically utilizing System-on-a-Chip (SoC) designs for scalable and safe deployment. With over 200 million SoCs deployed, Mobileye partners with leading automakers to deliver both current ADAS features and future driverless capabilities.

Cognex

Natick, United States

Cognex Corporation develops and deploys machine vision systems and industrial barcode readers that automate manufacturing processes. Their core technology centers on deep learning-powered image analysis for quality inspection, defect detection, and robotic guidance. Cognex primarily serves the global manufacturing sector, offering solutions that improve production efficiency and reduce errors across industries like automotive, electronics, and food & beverage.

Waymo

Mountain View, United States

Waymo is an autonomous driving technology company developing self-driving vehicles. Operates robotaxi services in Phoenix and San Francisco.

Anduril Industries

Costa Mesa, United States

Anduril Industries develops autonomous defense systems for the U.S. and allied military forces. Their core offering is Lattice AI, an open software platform enabling sensor fusion, autonomous navigation, and command & control across multiple hardware platforms – including aerial, ground, and maritime systems. Anduril differentiates itself by applying Silicon Valley engineering principles to rapidly deliver adaptable, AI-powered capabilities traditionally reliant on lengthy defense procurement processes.

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.

Meesho

Bangalore, India

Meesho is an Indian social commerce platform facilitating resale for individual entrepreneurs. Their core AI technology centers on image-based product discovery and personalized seller-product matching, connecting resellers with high-demand inventory based on regional trends and user preferences. This approach uniquely targets India’s fragmented retail landscape by empowering individuals – particularly in Tier 2+ cities – to launch online businesses with minimal capital.

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.

Wayve

London, United Kingdom

Wayve is pioneering Level 2+ autonomous driving technology through its proprietary end-to-end deep learning system, currently demonstrated in its Wayve.ai platform. Their core innovation lies in using large-scale, real-world driving data – collected from a fleet of vehicles in diverse conditions – to train neural networks that directly map camera images to driving actions, bypassing the need for traditional, hand-engineered rules. Wayve recently achieved a fully autonomous drive across 98% of a 21.5km open-road route, and is targeting commercial deployment of its technology with fleet operators and logistics companies in Europe and the US.

Trax

Singapore, Singapore

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

Black Sesame Technologies is a Chinese fabless semiconductor company specializing in high-performance, low-power AI chips for automotive applications. Their core product is the Huashan series of Systems-on-Chips (SoCs), which leverage advanced image processing and adaptive light control sensing technology to enhance autonomous driving capabilities. Black Sesame targets automotive OEMs and Tier 1 suppliers requiring customized and comprehensive AI-powered vision solutions for ADAS and autonomous vehicles.

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.

Butterfly Network

Burlington, United States

Butterfly Network develops handheld, whole-body ultrasound devices integrated with AI-powered software for point-of-care imaging. Their flagship product, the Butterfly iQ3, utilizes a single probe to deliver diagnostic imaging across a wide range of clinical applications. Butterfly Network serves diverse markets including individual medical practices, large healthcare systems, and medical education programs, offering a portable and accessible alternative to traditional ultrasound technology.

Ynsect

Paris, France

Ynsect is a French AgTech company specializing in the automated production of insect-based ingredients. Utilizing AI-powered robotics and computer vision within vertical farms, they cultivate mealworms to create sustainable protein and fertilizer products. Targeting the animal feed, human food, and plant nutrition markets, Ynsect offers a scalable solution to address growing demand for environmentally responsible food system alternatives.

Serve Robotics

Los Angeles, United States

Serve Robotics develops and deploys Level 4 autonomous robots for last-mile delivery services. Utilizing proprietary computer vision and machine learning algorithms, their robots navigate sidewalks to fulfill short-distance orders, primarily focusing on food and grocery delivery. The company targets businesses seeking to reduce delivery costs and environmental impact by replacing car-based delivery with a sustainable, robotic solution.

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.

Verkada

San Mateo, United States

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

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.

Yitu Technology

Shanghai, China

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.

Berkshire Grey

Bedford, United States

Berkshire Grey develops AI-powered robotic automation solutions for warehouse fulfillment. Their core technology centers on computer vision and machine learning algorithms that enable robotic systems – including automated put walls and universal pick cells – to identify, pick, pack, and sort items. The company targets large-scale e-commerce and retail businesses seeking to reduce labor costs and increase throughput in their warehousing and logistics operations.

Bedrock Robotics

San Francisco, United States

Bedrock Robotics is a San Francisco-based startup founded by former Waymo engineers that builds AI autonomy kits to retrofit construction equipment such as excavators, bulldozers and loaders for fully autonomous operation. It is targeting its first operator-less excavator deployments in 2026. It has raised $350M across seed, Series A and a $270M Series B.

Skydio

San Mateo, United States

Skydio develops autonomous drones equipped with advanced computer vision and AI-powered navigation for complex, real-world operations. Their flagship X10 drone provides autonomous flight capabilities for applications like critical infrastructure inspection, first response, and security, eliminating the need for constant piloting. Skydio targets enterprise and public sector clients requiring remote data acquisition and situational awareness in hazardous or hard-to-reach environments.

Carousell

Singapore, Singapore

Carousell uses AI for image recognition, price suggestions, fraud detection, and personalized recommendations in its classifieds marketplace.

Vayyar

Tel Aviv, Israel

Vayyar develops advanced 4D imaging radar sensors that provide high-resolution, touchless perception for a diverse range of applications. Their single-chip radar platform serves the automotive industry with in-cabin monitoring and ADAS/AV safety features, while also addressing needs in healthcare, security, retail analytics, and industrial sensing. Vayyar differentiates itself by offering a cost-effective, multifunction sensor capable of detecting objects and people regardless of material or lighting conditions.

Scandit

Zurich, Switzerland

Scandit develops mobile vision solutions leveraging computer vision and deep learning to enable smart data capture via smartphones, tablets, and wearables. Their core offerings include the Scandit SDK, which integrates barcode, text recognition, and object detection capabilities into applications, and the Scandit Express app for immediate use. Scandit’s technology is particularly utilized within the retail, logistics, and healthcare sectors, enabling applications like self-checkout, inventory management, and identity verification – and they notably support advanced features like simultaneous multi-barcode scanning and augmented reality overlays for enhanced workflows.

SafetyCulture

Sydney, Australia

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

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.

SiMa.ai

San Jose, United States

SiMa.ai is a fabless chip company delivering a software-centric machine-learning system-on-chip (MLSoC) for low-power edge devices, targeting the 5-25W range for computer vision and multimodal generative AI. Founded by former Groq COO Krishna Rangasayee, it has raised $270M.

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.

Ajax Systems

Kyiv, Ukraine

Ajax Systems develops wireless, integrated security and automation systems for residential and commercial properties. Their core technology centers on a proprietary wireless communication protocol (“Jeweller”) and AI-powered analytics within their CCTV cameras for enhanced threat detection and false alarm filtering. Targeting professional installers and security companies, Ajax Systems offers a comprehensive, scalable platform encompassing intrusion detection, fire safety, and video surveillance, differentiating itself through ease of installation and robust wireless performance.

Pixellot

Petah Tikva, Israel

Pixellot builds AI-based automated sports-video capture and analytics systems that use unmanned multi-camera rigs to film and produce games without a crew, then apply computer vision to generate highlights and statistics. Its technology streams tens of thousands of live hours monthly for semi-professional, youth and educational sports.

Standard AI

San Francisco, United States

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

Runway

New York, United States

Runway builds AI video generation tools including Gen-4, ranked #1 on video benchmarks. Used by Ubisoft, Target, and major studios. Valued at $3.5B.

Blaize

El Dorado Hills, United States

Blaize develops edge AI computing platforms and silicon utilizing their Graph Streaming Processor (GSP) architecture. Their platforms, including Blaize Pathfinder and Xplorer, offer a code-free software suite to simplify and accelerate AI application deployment from data center to edge devices. Blaize targets industries seeking to implement scalable, energy-efficient AI solutions for applications like computer vision, overcoming the limitations of traditional hardware and software approaches.

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.

Onfido

London, United Kingdom

Onfido is a UK-based identity verification company specializing in Know Your Customer (KYC) and fraud prevention solutions. Their core technology utilizes AI-powered document verification and biometric authentication – including facial recognition and liveness detection – to assess the authenticity of identities presented online. Onfido primarily serves businesses requiring robust identity checks, such as financial institutions, marketplaces, and mobility providers, enabling secure access and reducing fraudulent activity.

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.

Nauto

Palo Alto, United States

Nauto provides a predictive AI-powered driver and fleet safety platform for commercial vehicle operators. Their core technology utilizes in-cabin camera systems and real-time analysis to detect and alert drivers to risky behaviors – such as distraction or fatigue – before collisions occur, functioning independently of external connectivity. Nauto targets the commercial fleet market, offering a privacy-focused solution that reduces incidents, lowers insurance costs, and streamlines driver coaching through event-based video analysis.

OrCam

Jerusalem, Israel

OrCam develops AI-powered wearable assistive technology for individuals with visual impairments and reading difficulties. Their core product is a handheld and wearable device that utilizes computer vision and natural language processing to instantly read text, recognize faces, and identify objects in the user’s environment. OrCam directly serves end-users and partners with distributors like Optelec to provide accessibility solutions in key markets like the UK and Ireland.

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.

OpenSpace

San Francisco, United States

OpenSpace provides automated construction progress monitoring using computer vision and 360° image capture from smartphones, cameras, and drones. Their core product utilizes AI to create a visual digital twin of construction sites, automatically documenting progress and identifying discrepancies. This solution targets general contractors and construction managers seeking to improve project visibility, reduce risk, and streamline documentation processes.

Imagen Technologies

New York, United States

Imagen Technologies is a U.S.-based provider of diagnostic imaging services enhanced by proprietary, FDA-cleared AI algorithms. They partner with independent practices, hospitals, and health systems to deliver rapid, sub-specialized image analysis and reporting, focusing on improved accuracy and turnaround times. Imagen differentiates itself by offering a complete, AI-enabled solution – including equipment, clinicians, and analytics – aimed at enhancing both patient care and value-based care initiatives for payers and providers.

Hive

San Francisco, United States

Hive develops AI models and APIs for comprehensive content analysis, specializing in computer vision and natural language processing across text, image, video, and audio data. Their technology delivers granular classification labels for content moderation, brand protection, and contextual advertising, and also powers next-generation search capabilities for large datasets like web images and proprietary content. Hive offers both proprietary and open-source generative AI models, enabling businesses to automatically generate content and is currently utilized by customers for applications ranging from content moderation to intellectual property analysis.

Advance.AI

Singapore, Singapore

Advance.AI is a Singapore-based provider of AI-powered digital identity and risk management solutions for businesses operating in Southeast Asia. Their core technology utilizes computer vision and machine learning to automate Know Your Customer (KYC) and Anti-Money Laundering (AML) compliance processes, including document verification and facial recognition. Advance.AI primarily serves financial institutions, fintech companies, and other businesses requiring robust identity verification and fraud prevention capabilities at scale.

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.

Stability AI

London, United Kingdom

Stability AI develops open generative models across image, video, audio, and language, best known for the Stable Diffusion family of text-to-image models.

Clarifai

New York, United States

Clarifai delivers a full-stack AI platform focused on accelerating and reducing the cost of AI inference, particularly for large language and vision models. Their core offering, AI Runners and Compute Orchestration, enables developers to deploy and scale custom and open-weight models – including GPT-OSS-120B – with significantly reduced infrastructure costs (over 90% savings reported) and OpenAI compatibility. Validated by independent benchmarks, Clarifai targets enterprises building AI-powered applications requiring high-speed, cost-effective inference and reasoning, and serves customers looking to avoid vendor lock-in with a seamless migration path from providers like OpenAI.

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.

WSC Sports

Tel Aviv, Israel

WSC Sports is an AI company that provides an automated platform for generating personalized sports video highlights at scale. Utilizing computer vision and machine learning, their technology enables broadcasters, leagues, and teams to create customized highlight packages tailored to individual fan preferences and various digital platforms. This solution drives increased fan engagement and content distribution efficiency for major sports organizations globally.

Drishti

Mountain View, United States

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

Verity

Zurich, Switzerland

Verity develops and deploys fully autonomous indoor drones for comprehensive warehouse inventory tracking. Utilizing proprietary computer vision and AI-powered flight algorithms, their system continuously scans and updates inventory data without manual intervention. This solution targets large warehouse and logistics operations seeking to improve inventory accuracy, reduce labor costs, and optimize supply chain efficiency.

Fetchr

Dubai, United Arab Emirates

Fetchr is a last-mile delivery company operating in the Middle East and North Africa (MENA) region. They utilize a proprietary AI-powered platform that combines GPS technology with image recognition to accurately pinpoint delivery locations without requiring traditional addresses. This enables delivery to unaddressed or informally addressed locations, serving a significant portion of the MENA population and offering a solution for e-commerce and logistics companies operating in the region.

Cape Analytics

San Francisco, United States

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

Simbe Robotics

South San Francisco, United States

Simbe Robotics develops autonomous robotics solutions for retail inventory management. Their core product, Tally, utilizes computer vision and machine learning to continuously audit on-shelf inventory, providing retailers with real-time data on out-of-stocks, planogram compliance, and pricing accuracy. Simbe targets large grocery and retail chains seeking to improve operational efficiency and enhance the customer experience through data-driven insights into shelf conditions.

MarqVision

Los Angeles, United States

MarqVision, founded by Harvard Law alumni, provides an AI-powered managed-service platform for brand protection that detects and removes counterfeits across online marketplaces. It operates regional hubs in Seoul, Tokyo, and Shanghai and raised a $48M Series B in 2025.

Doxel

Redwood City, United States

Doxel provides automated construction progress monitoring and quality control solutions utilizing computer vision and autonomous robotics. Their core technology captures and analyzes site data to provide real-time insights into schedule adherence and potential delays. Doxel targets general contractors and construction owners seeking to improve project predictability and mitigate risks through data-driven decision-making.

Qure.ai

Mumbai, India

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.

Overjet

Boston, United States

Overjet provides an FDA-cleared AI platform for dental professionals and insurance providers that automatically analyzes radiographic images to detect and outline dental disease and anatomy. Their core technology streamlines administrative tasks like insurance verification and enhances diagnostic accuracy, ultimately improving patient care and case acceptance rates. Overjet primarily serves Dental Service Organizations (DSOs), dental groups, individual dentists, and health plans seeking to integrate AI-powered clinical intelligence into their workflows.

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.

Datagen

Tel Aviv, Israel

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

Mantis Vision

Petah Tikva, Israel

Mantis Vision develops and manufactures compact, high-resolution 3D sensing systems utilizing structured light technology. Their core product is a suite of miniature 3D cameras and associated software development kits. Targeting industrial automation, robotics, and augmented reality applications, Mantis Vision provides precise depth perception capabilities for tasks like bin picking, quality control, and spatial mapping in constrained environments.

Sama

San Francisco, United States

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

Photoroom

Paris, France

Photoroom is a French AI company specializing in automated image editing for e-commerce and social media applications. Their core technology utilizes computer vision to precisely remove backgrounds and re-edit product and portrait photos, generating marketplace-ready visuals at scale. Photoroom targets businesses and content creators seeking to streamline product photography, reduce costs, and improve conversion rates through high-quality, consistently formatted images.

Spot AI

San Francisco, United States

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

Buildots

Tel Aviv, Israel

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

Miso Robotics

Pasadena, United States

Miso Robotics develops and deploys AI-powered robotics solutions for commercial kitchens. Their core product, Flippy 2, automates fry stations and other repetitive cooking tasks using computer vision and machine learning. Targeting the full-service restaurant industry, Miso Robotics aims to mitigate labor shortages and improve kitchen efficiency through robotic process automation.

Instrumental

Palo Alto, United States

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

Avataar

Bengaluru, India

Avataar is a computer-vision and 3D AI company, headquartered in Bengaluru and San Francisco, whose SuperNova platform generates life-sized interactive 3D product visualizations for e-commerce marketplaces and D2C brands. It plugs into client websites and apps for 3D product evaluation. It has raised about $55M, including a $45M Series B led by Tiger Global and Peak XV.

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.

Affectiva

Boston, United States

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.

Magazino

Munich, Germany

Magazino develops perception-driven mobile robots specializing in the automated picking and transport of goods within warehouse and logistics environments. Their core technology centers on autonomous robots – like SOTO and TORU – utilizing 3D vision and advanced grasping capabilities to handle a variety of container types. As a Jungheinrich company, Magazino targets businesses seeking to automate complex, previously manual material handling processes and improve efficiency in intralogistics applications.

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.

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.

Aerodyne

Cyberjaya, Malaysia

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

Robovision

Ghent, Belgium

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

Attentive.ai

Noida, India

Attentive.ai builds AI-based takeoff and estimating software for construction and outdoor field services, using aerial imagery and blueprints to automate measurements across trades. Its products Beam AI and Automeasure help contractors bid faster.

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.

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.

Proscia

Philadelphia, United States

Proscia develops Concentriq, a digital pathology platform leveraging computer vision and AI to accelerate cancer diagnostics and drug discovery. Their core technology focuses on analyzing pathology images to improve biomarker identification and streamline clinical trials. Notably, Proscia’s platform was ranked #1 in the 2026 Best in KLAS awards, demonstrating strong customer satisfaction within the life sciences and healthcare sectors.

GeologicAI

Calgary, Canada

GeologicAI applies machine learning and high-resolution sensors (RGB, XRF, hyperspectral and LiDAR) to scan and analyze mining drill core in real time, producing digital core logs and resource models far faster than manual logging. It serves mineral-exploration firms and is backed by mining majors including BHP and Rio Tinto.

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.

V7

London, United Kingdom

V7 is a UK-based company offering an AI agent platform, V7 Go, focused on automating complex document processing workflows. Utilizing computer vision and data labeling technologies, V7 Go enables businesses to build and deploy specialized AI agents for tasks like contract analysis, claims processing, and financial document review. Their target market is primarily within the finance, legal, and insurance industries seeking auditable and automated solutions for knowledge work.

Osaro

San Francisco, United States

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

Roboflow

Des Moines, United States

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

SigTuple

Bengaluru, India

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.

Truepic

San Diego, United States

Truepic provides visual risk intelligence solutions leveraging embedded hardware and AI-powered authenticity verification. Their core product, Truepic Vision, analyzes and certifies the provenance of digital media – from capture to storage – to detect manipulation and ensure content integrity. This technology serves financial services and insurance companies seeking to mitigate fraud, accelerate processing times, and improve trust in visually-submitted claims and loan applications.

Micropsi Industries

Berlin, Germany

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

Nomagic

Warsaw, Poland

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

Fusemachines

New York, United States

Fusemachines is a US-based company specializing in the development and deployment of custom AI products for enterprises. They leverage a proprietary AI platform and a network of AI engineers to deliver solutions focused on computer vision and natural language processing. Their core value proposition centers on enabling businesses to operationalize AI by providing both the technology and the skilled talent required for successful implementation.

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.

Twenty Billion Neurons

Berlin, Germany

Twenty Billion Neurons (TwentyBN) was a German AI company specializing in advanced video understanding and computer vision technologies. Their core product was a highly efficient AI platform for gesture recognition and object tracking, optimized for low-power edge devices. Acquired by Qualcomm, TwentyBN’s technology is now integrated into Qualcomm’s product offerings, targeting applications in mobile, automotive, and IoT devices requiring on-device AI processing.

Unitary

London, United Kingdom

Unitary delivers AI-powered automation for customer and marketplace operations through its Virtual Agent technology, which directly logs into existing tools and follows pre-defined processes without requiring API integrations. These Virtual Agents combine computer vision and complex reasoning capabilities to handle tasks like content moderation and policy enforcement, escalating to human experts when necessary to guarantee accuracy. Unitary focuses on rapidly deploying automation at scale for businesses seeking to reduce operational costs and improve customer satisfaction, offering a results-based pricing model with no upfront fees.

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.

Aiforia

Helsinki, Finland

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.

SuperAnnotate

Sunnyvale, United States

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

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.

Aidence

Amsterdam, Netherlands

Aidence built AI software for lung-cancer screening—its CE-marked Veye Lung Nodules detects, classifies and tracks pulmonary nodules on CT scans. Founded in 2015 in Amsterdam; acquired by RadNet in January 2022 and now part of RadNet's DeepHealth AI unit.

Nyris

Berlin, Germany

Nyris is a German AI company specializing in visual search solutions for manufacturers, distributors, and retailers. Their core product is a No-Code Search Suite and associated APIs that enable accurate product and spare part identification from images, CAD data, text, or barcodes, linking directly to product catalogs. Nyris differentiates itself by offering a complete, easily integrated solution that reduces IT workload and addresses challenges related to complex product catalogs and skill shortages within technical teams.

Voxel51

Ann Arbor, United States

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

Modulai

Oslo, Sweden

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.

Augmenta

Metamorphosi, Greece

Augmenta builds AI-powered precision-agriculture hardware—field analyzers using computer vision to enable real-time variable-rate application of fertilizer and chemicals on tractors and sprayers. Based in Metamorphosi, Greece; acquired by CNH Industrial in 2023 and folded into its Raven brand.

SKY ENGINE AI

Warsaw, Poland

SKY ENGINE AI is a Polish-founded company providing a synthetic-data cloud for vision AI, generating fully annotated, multimodal synthetic data and domain-adaptation tools to train computer-vision models at scale for automotive, robotics, medical and defense applications.

Refraction AI

Ann Arbor, United States

Refraction AI develops and deploys sidewalk-based, autonomous delivery robots for local commerce. Their technology utilizes a proprietary combination of computer vision, sensor fusion, and remote supervision to navigate complex pedestrian environments safely and efficiently. Targeting restaurants, grocery stores, and pharmacies, Refraction AI offers a cost-effective and scalable solution for hyper-local, last-mile delivery services, particularly for orders under five miles.

Numbers Protocol develops a decentralized provenance infrastructure utilizing a combination of blockchain technology and computer vision algorithms within its Numbers Engine. This engine analyzes digital content – images, videos, and audio – creating a cryptographic “fingerprint” and recording its origin and modification history on a public blockchain, specifically leveraging NFT technology for content attestation. Targeting content creators, platforms, and AI developers, Numbers Protocol aims to establish a trusted data layer for verifying content authenticity and combating the spread of misinformation, and recently launched its beta mainnet in November 2023.

IdentifAI

Cesena, Italy

IdentifAI is an Italian cybersecurity company that develops AI models to detect deepfakes and AI-generated content, analyzing images, video and audio to verify authenticity for organizations and platforms. Its 'de-generative' approach helps counter misinformation and synthetic-media fraud.

Amini

Nairobi, Kenya

Amini is a Nairobi-based climate-tech startup that uses AI and satellite imagery to close Africa's environmental-data gap. Its platform aggregates satellite, weather and sensor data down to the square meter and exposes it via APIs for agriculture, climate monitoring and resource management. It raised a $4M seed round led by Salesforce Ventures and Female Founders Fund.

SportAI

Oslo, Norway

SportAI is a B2B sports-technology company whose camera-agnostic computer-vision platform analyzes video of athletes to deliver professional-level technique feedback and real-time match statistics, initially focused on racket sports such as tennis and padel. It licenses its analysis engine to coaches, streaming platforms and equipment retailers.

Curious AI

Helsinki, Finland

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.

ZTRUS develops a comprehensive suite of identity verification and Know Your Customer (KYC) solutions, including their flagship product, ZK-KYC, which leverages computer vision and machine learning to automate document verification and facial authentication. Their technology specializes in robust ID fraud detection, even with low-quality images or varying document formats, and is particularly adept at handling Southeast Asian identification documents. ZTRUS currently serves leading banks and fintech companies across Thailand and expanding into other Southeast Asian markets, and was recently recognized as a finalist in the Fintech Innovation Awards for their advancements in biometric authentication.

Tensorflight automates commercial-property inspection and underwriting for insurers using convolutional neural networks applied to satellite, aerial and ground-level imagery to assess property characteristics and risk. Founded by Polish researchers, it works with large carriers including Zurich and QBE and runs engineering in Warsaw.

Verihubs

Jakarta, Indonesia

Verihubs provides AI-powered identity verification and fraud prevention for banks and fintechs, offering face recognition, liveness and deepfake detection, ID document extraction and OTP delivery. It was the first Indonesian AI startup to graduate from Y Combinator and serves enterprises across Southeast Asia.

Biped

Lausanne, Switzerland

Biped builds an AI navigation harness for blind and visually impaired people that uses 3D cameras and self-driving-derived algorithms to detect obstacles and provide real-time spatial guidance through audio cues. The shoulder-worn device aims to improve independent mobility.

Arkensight

Zagreb, Croatia

Arkensight is a Croatian startup building an AI visual-intelligence platform for organizations that operate and maintain critical infrastructure. It connects to cameras, drones, satellites and vehicles, then uses AI to detect assets, identify damage and anomalies, and track changes over time.