Computer Vision Companies

Tesla AI

Palo Alto, United States

aiming for factual detail and professional tone: 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.

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.

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.

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.

Helsing

Munich, Germany

Helsing builds AI for defense and national security applications in Europe. Raised €450M for European sovereign AI defense.

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.

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.

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.

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.

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.

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

Here's a company description for Onfido, based on the provided information: 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 and releases open-source AI models. Creator of Stable Diffusion, Stable Audio, and other generative AI tools.

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

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

Verity

Zurich, Switzerland

Here's a company description for Verity, based on the provided information: 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.

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

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.

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.

Landing AI

Palo Alto, United States

Landing AI provides visual inspection platform for manufacturing using computer vision and Andrew Ng's data-centric AI approach.

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

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.

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.

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.

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.

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.

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

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.

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.

Imagr

Auckland, New Zealand

Imagr develops AI-powered checkout-free shopping technology using computer vision to identify products and enable autonomous retail.

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.

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.

Anyline

Vienna, Austria

Anyline provides mobile OCR and barcode scanning SDK using AI to read text, IDs, meter readings, and barcodes from smartphone cameras.

Aidence

Amsterdam, Netherlands

Aidence develops AI software for lung cancer screening, using deep learning to analyze CT scans and detect pulmonary nodules.

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, 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.

Augmenta

Athens, Greece

Augmenta develops AI-powered precision agriculture solutions that use computer vision to optimize fertilizer and chemical application.

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.

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.

aiming for informative detail and professional tone: 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.

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.

Boston Dynamics

Waltham, United States

Spot Robotics develops advanced, quadrupedal robots – specifically the Spot platform – for autonomous data collection and remote inspection. Utilizing onboard AI and integrated sensors, Spot navigates challenging terrains and environments to provide real-time insights for industries like energy, construction, and public safety. The company targets enterprise clients seeking to automate routine inspection tasks, improve worker safety, and gain data-driven operational efficiencies in complex or hazardous settings.

SenseTime

Hong Kong, China

SenseTime is one of China's largest AI companies, specializing in computer vision for smart cities, autonomous driving, and healthcare.

Megvii

Beijing, China

Megvii (Face++) develops AI and IoT solutions including facial recognition, computer vision for logistics and smart city applications.

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.

ByteDance AI Lab

Beijing, China

ByteDance AI Lab focuses on developing core AI technologies powering the TikTok platform and beyond, including the recommendation engine “People You May Know” and computer vision models for content moderation and effects like green screen. Their key innovations lie in large-scale reinforcement learning for personalized recommendations, and they are a leading developer of Chinese Large Language Models, including the series known as “Qwen,” released as open-source models. With over 300 research papers published in top AI conferences, ByteDance AI Lab is a significant contributor to advancements in areas like text-to-image generation and video understanding.

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.

ABEJA

Tokyo, Japan

ABEJA is a Japanese AI company specializing in computer vision solutions for enterprise applications. They develop and deploy AI-powered tools focused on improving operational efficiency and decision-making within the retail, manufacturing, and insurance sectors – notably demonstrated through projects like a disaster response tool for a major insurance provider and an AI-driven content creation initiative with KDDI. ABEJA differentiates itself by focusing on practical AI implementation for established industries, driving digital transformation and measurable business outcomes.

Photomath

Zagreb, Croatia

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

Matterport AI

Sunnyvale, United States

Matterport AI provides digital twin solutions for the built environment, leveraging 3D capture technology and computer vision to create accurate and immersive virtual models of physical spaces. Their core offering is a platform that automatically generates these digital twins – including 3D tours, floor plans, and high-resolution imagery – from captured data. Matterport primarily serves the commercial real estate, construction, and property management industries, enabling remote collaboration, improved project management, and data-driven operational insights.

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.

Hawk-Eye

Basingstoke, United Kingdom

Hawk-Eye develops and deploys computer vision systems for precise ball and player tracking across major sports like tennis, cricket, and football. Their core technology utilizes multi-camera optical tracking and advanced camera calibration to deliver solutions including VAR (Video Assistant Referee) systems, goal-line technology, and semi-automated offside technology – currently used in over 95 countries and powering over 45,000 matches annually. Hawk-Eye’s solutions are adopted by top leagues and federations globally, enhancing officiating accuracy, broadcast replay capabilities, and performance analysis for sports organizations and fans alike.

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.

Lensa

San Francisco, United States

Lensa is a mobile application utilizing AI-powered image processing for photo and video enhancement and editing. Its core technology centers on generative AI for “Magic Avatars” – creating customized profile pictures from user-uploaded selfies – alongside automated retouching, background removal/replacement, and stylistic filter application. Lensa targets social media users and individuals seeking quick, accessible tools to improve the quality and aesthetic of their photos and create unique digital representations of themselves.

Be My Eyes AI

Copenhagen, Denmark

Be My Eyes AI provides accessibility solutions for individuals who are blind or have low vision by leveraging both human volunteers and AI-powered visual assistance. Their core offering integrates GPT-4 Vision to deliver instant image descriptions via a mobile app, supplementing a pre-existing network of over 9.6 million volunteers providing live visual support. Beyond individual users, Be My Eyes also offers a business solution enabling companies to enhance customer service and workplace accessibility through AI-driven video assistance.

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.

Aiminify

San Francisco, United States

Aiminify compresses computer vision models with 1 line of code, making models up to 10x faster and 4x smaller automatically.

AIRA specializes in AI algorithms, image analysis, and system integration with deep collaborations with Intel, NVIDIA, and AWS.

Bucket Robotics

San Francisco, United States

Bucket Robotics builds computer vision systems for manufacturing, generating AI inspection models from CAD or sample footage without manual labeling.

Luminar Technologies

Orlando, United States

Luminar Technologies develops LiDAR sensing systems and associated perception software for automotive and industrial applications. Their core product, the Luminar Halo LiDAR, delivers long-range, high-resolution 3D mapping crucial for advanced driver-assistance systems (ADAS) and autonomous driving. Notably, Luminar is the first to provide a high-performance LiDAR solution integrated as standard equipment on production vehicles like the Volvo EX90 and ES90, targeting automakers seeking to enhance safety and accelerate the development of autonomous capabilities.

Moley Robotics

London, United Kingdom

Moley Robotics manufactures fully integrated robotic kitchen systems for the luxury residential market. Their core technology utilizes advanced robotics, computer vision, and a comprehensive recipe database to autonomously replicate professional chef techniques with precise ingredient handling and error-free execution. Moley targets consumers seeking a premium, hands-free culinary experience focused on consistent, high-quality meals and reduced food-related health risks.

Neurala

Boston, United States

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

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.

Piaggio Fast Forward

Boston, United States

Piaggio Fast Forward develops autonomous following robots designed to augment pedestrian mobility and last-mile delivery. Their core product, the Gita family of robots (gita, gitaplus, and gitamini), utilizes sensor fusion and computer vision to safely follow users and carry goods hands-free. Targeting urban consumers and businesses seeking to enhance pedestrian experiences and streamline short-distance logistics, Piaggio Fast Forward offers a unique solution for carrying loads without requiring dedicated vehicle infrastructure.

Trueface

San Diego, United States

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

Valeo AI

Paris, France

Valeo AI is a French automotive technology company specializing in the development of Advanced Driver-Assistance Systems (ADAS) and autonomous driving capabilities. Their core technology centers on sensor fusion and AI-powered perception systems, integrating data from radar, cameras, and LiDAR to enable features like automated parking and highway driving. Valeo AI primarily serves automakers as a Tier 1 supplier, offering integrated systems designed to enhance vehicle safety and move towards full automation.

Vicarious Surgical

Waltham, United States

Vicarious Surgical develops surgical robotics technology enabling advanced minimally invasive procedures. Their core innovation is a single-port robotic system utilizing miniaturized instruments and a high-definition camera, accessible through a 1.5cm incision – significantly smaller than current standard approaches. This technology targets surgeons and hospitals seeking to improve patient outcomes and expand the capabilities of robotic-assisted surgery, particularly in abdominal procedures.

Viso.ai

Zurich, Switzerland

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

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.

CloudWalk

Guangzhou, China

CloudWalk Technology is a Chinese AI platform company specializing in human-machine collaboration operating systems and applied AI solutions. Their core technology integrates computer vision – including facial recognition and cross-camera Re-ID – with natural language processing and large models to bridge the digital and physical worlds. CloudWalk targets sectors including finance, urban management, and commercial applications, offering both platform-level AI capabilities and tailored industry solutions.

Kraken Robotics

St. John's, Canada

Kraken Robotics develops advanced underwater robotics and sensor systems specializing in subsea intelligence solutions. Their core technology centers on synthetic aperture sonar (SAS) – including the KATFISH towed SAS – and LiDAR, providing high-resolution 3D data and metrology for subsea infrastructure inspection, mapping, and hazard assessment. Kraken primarily serves the defense, oceanographic, and energy industries, offering capabilities for detailed seabed analysis and asset monitoring.

Mercari

Tokyo, Japan

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

Mirror

New York, United States

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

Nearmap

Sydney, Australia

Nearmap provides frequently updated, high-resolution aerial imagery and location data to professional users. Their core technology utilizes AI-powered image analysis to extract insights – such as building footprints, vegetation analysis, and change detection – from this imagery. Primarily targeting governments, insurance companies, and construction/infrastructure businesses, Nearmap delivers geospatial data to support planning, assessment, and operational decision-making.

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.

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.

Teachable Machine

Mountain View, United States

Teachable Machine is a web-based platform developed by Google that enables users to rapidly create machine learning models using a no-code interface. The platform focuses on image, audio, and pose-based recognition, allowing individuals to train custom models directly within their browser. Primarily targeting educators, artists, and hobbyists, Teachable Machine lowers the barrier to entry for machine learning by eliminating the need for programming expertise and facilitating quick prototyping for integration into web applications and creative projects.

Zebra Technologies

Lincolnshire, United States

Zebra Technologies provides hardware and software solutions for digitizing and streamlining enterprise operations, specializing in areas like retail and healthcare. Their core technology centers around integrating mobile computing, machine vision, and RFID technologies to provide real-time data capture and actionable insights. Zebra targets businesses seeking to improve workflow optimization, inventory management, and staff collaboration through enhanced data visibility across the supply chain and point-of-sale.

Firemark Labs develops AI solutions for insurance, including computer vision for property assessment and claims processing.

Tryolabs

Montevideo, Uruguay

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

Blue River Technology

Sunnyvale, United States

Blue River Technology, a John Deere company, develops advanced agricultural robotics and machine learning solutions, most notably the See & Spray™ Ultimate system. This technology utilizes computer vision and deep learning algorithms to identify and precisely target weeds with herbicide application, reducing chemical usage by up to 80%. Deployed on John Deere sprayers, See & Spray™ is currently available for cotton and corn production in North America, demonstrating Blue River’s commitment to sustainable and efficient farming practices.

Remove.bg

Vienna, Austria

Remove.bg provides an automated background removal service utilizing deep learning-based image segmentation. Their core technology centers on convolutional neural networks trained to accurately identify and isolate foreground subjects within images. Primarily targeting e-commerce businesses, marketers, and designers, Remove.bg offers a time-saving solution for creating product photos, marketing visuals, and graphics requiring transparent backgrounds.