Top Computer Vision Startups 2023

December 2023

Browse 44 of the top Computer Vision startups funded by Y Combinator.

We also have a Startup Directory where you can search through over 4,000 companies.

  • Matterport
    Matterport (W12)Public • 201 employees • Sunnyvale, CA
    Matterport is an immersive media technology company that is shaking up the 3D / VR world. Our team has built the first end-to-end system for creating, modifying, distributing, and navigating immersive 3D and virtual reality (VR) versions of real-world spaces on web and mobile devices. Matterport offers the world's most inexpensive and simplest way to capture 3D spaces. Our products include: - Matterport Pro Camera for capturing real spaces in 3D. It collects accurate visual and spatial data to map entire areas in minutes and is all about automation and ease of use. - The Matterport Cloud for processing and hosting 3D models - Matterport Portal, our system for viewing, editing, and managing models; collaborating with colleagues; and sharing models with others - Matterport 3D Showcase, a browser-based 3D media player, which allows anyone to view 3D models in their browser with no additional software - Matterport Core VR: All Spaces can be converted to VR and experienced on Samsung Gear VR or Google Cardboard (in beta), with additional device support coming soon. Matterport 3D media solutions power industries from real estate (residential, multi-family and commercial) and travel and hospitality (hotels, vacation rentals, and venue booking), to business listings, architecture, engineering and construction, news and entertainment, and everything in between. We’re growing fast. If you’re passionate about solving cutting-edge problems in computer vision and hardware design and creating order-of-magnitude improvements in the ability to easily create and share 3D models of real world spaces, we want to talk to you. See open positions at matterport.com/jobs. Try Matterport for yourself at matterport.com/try.
    computer-vision
  • Mashgin
    Mashgin (W15)Active • 58 employees • Palo Alto
    Mashgin creates better retail experiences through visual automation. We’ve built a self-checkout kiosk that uses computer vision to scan multiple items without barcodes, reducing checkout time by 10x. We’re completely recreating the checkout experience in an industry that’s had little innovation in decades. Our clients see dramatic reductions in lines and revenue increases of as much as 400% as a result.
    artificial-intelligence
    cashierless-checkout
    deep-learning
    hardware
    computer-vision
  • Caper
    Caper (W16)Acquired • 15 employees
    Caper focuses on compacting Amazon-Go's technology (image recognition, sensor fusion and artificial intelligence) into a smart shopping cart, allowing each shopper to throw her groceries into the cart and self-checkout without cashiers. The technology is looking to fundamentally transform physical retail and rapidly scale into existing grocery stores.
    artificial-intelligence
    cashierless-checkout
    computer-vision
    retail-tech
  • Ambient.ai
    Ambient.ai (W17)Active • 95 employees • San Jose, CA
    Ambient.ai is a computer vision intelligence company transforming enterprise security operations to prevent security incidents before they happen. The Ambient.ai platform applies AI and computer vision intelligence to existing sensor and camera infrastructure to deliver continuous physical security monitoring and automate the immediate dispatch of human resources. Ambient.ai is the first platform that goes beyond basic motion detection and image recognition to achieve near-human perception with automated situational context. With physical security incidents on the rise and physical security organizations left under-resourced, Ambient.ai’s computer intelligence platform comes at a time of critical need, which is why the company has raised over $50 million from venture capital investors led by a16z. Today, large enterprises, schools and organizations – including many of the largest US tech companies and other Fortune 500 companies – use Ambient.ai to secure property, people, and assets from the most harrowing physical security threats. The company was founded in 2017 by experts in artificial intelligence from Stanford who previously built iconic products at Apple, Google, Microsoft and Dropbox. We are backed by Andreessen Horowitz (a16z), SV Angel, Y Combinator, and visionary angels like Jyoti Bansal, Mark Leslie and Elad Gil.
    computer-vision
    security
    ai
  • Roboflow
    Roboflow (S20)Active • 35 employees • Des Moines, IA
    Roboflow enables developers to make the world programmable. Use our tools to build better datasets (collect image, video / annotate), models (foundation and fine tuned small models), and deployments (self hosted, edge, APIs, SDKs) for computer vision. Over 250k developers, including those from over half the Fortune 100, build with our open source and hosted tools. Build with us: https://app.roboflow.com Hack with us: https://roboflow.slab.com/public/posts/roboflow-hackathons-external-u478m1iz Work with us: roboflow.com/careers
    developer-tools
    machine-learning
    saas
    computer-vision
    api
  • Apply Design
    Apply Design (S22)Active • 4 employees • Tel Aviv-Yafo, Israel
    Apply Design helps homeowners sell their property 30% faster with a 5% higher price. We do this through our custom website creator that showcases your home's potential in a way that is personalized to the buyer. For example, when a young married couple with a baby visits the website we host, instead of seeing a dull property listing on Zillow with empty pictures or old furniture, the family sees realistic and personalized virtual interior designs – such as a home office and a baby room – which we automatically generate for them. They can then play with those designs and see how that home fits their needs and tastes. This is a $10B market opportunity, given the 50M properties sold or rented annually in North America and Europe alone.
    machine-learning
    saas
    computer-vision
    real-estate
    proptech
  • Cerrion
    Cerrion (S22)Active • 9 employees • Zürich, Switzerland
    Cerrion helps manufacturers automatically detect, understand and eliminate problems on their production lines using video-based Computer Vision. Our AI leverages standard CCTV cameras and learns how a manufacturing process looks like when things are going well and can automatically detect and track problems in real-time. For example, one of our customers, a Pepsi supplier producing 500 bottles per minute now automatically detects and reacts to a fallen bottle before it starts blocking their production line.
    deep-learning
    computer-vision
    video
    manufacturing
    ai
  • BotCity
    BotCity (W22)Active • 18 employees • San Francisco
    The rise of Robotic Process Automation offered a promise that any business user can build automations. We were skeptical about that and decided to talk to users of platforms such as UiPath, Automation Anywhere, and Blueprism, all of them low-code. Talking to users, we discovered that unique automations incorporating exclusive company processes and intelligence that have the potential to transform the business must be implemented by tech teams. It's not about mimicking employees performing isolated tasks. It's about designing a new workflow, integrated with the company's technological stack and systems. There are just 100.000 RPA skilled users compared to 22M developers globally that can become RPA coders on Day 1 with BotCity. We believe that all automation efforts in a single platform is more efficient. We started delivering the best RPA experience for tech teams, but we envision creating the perfect place to also manage crawlers, integrations, scrappers, data operations. Every company automation in a single place. As companies are becoming tech first and automation will be a basic KPI, we are building to be the all-in-one automation ops management.
    developer-tools
    robotic-process-automation
    computer-vision
    open-source
    ai
  • Kino AI
    Kino AI (S23)Active • 2 employees
    Kino automatically organizes footage to make video editing faster and more enjoyable. Kino saves hours every day for all types of video creation, from Youtube content to Hollywood blockbusters. Check out our demo! https://www.youtube.com/watch?v=lwon6fWvmco Join the beta at trykino.com/beta
    computer-vision
    b2b
    video
    media
    ai
  • Eventual
    Eventual (W22)Active • 5 employees • San Francisco
    Eventual is a data warehouse for images and video. We are building an integrated development experience for data scientists and engineers to query, process and build applications on Complex Data (non-tabular data such as images, video, audio and 3D scans). We are funded by investors such as Caffeinated Capital, Array.vc and top angels in the valley from Databricks, Meta and Lyft. Our team has deep expertise in high performance computing, big data technologies, cloud infrastructure and machine learning.
    computer-vision
  • Tenyks
    Tenyks (S21)Active • 3 employees • Cambridge, United Kingdom
    Tenyks is a University of Cambridge spin-out inventing the way humanity interacts with AI to protect the world from the terminator, but also to ensure that AI is developed with passion, excitement, and joy! We are building an MLOps monitoring and validation platform that helps ML developers working with computer vision data to build more reliable software faster. Specifically, our platform helps ML developers understand what's wrong with their algorithms and fix issues. The founders developed the technology during their PhD research in Explainable AI for Computer Vision and it is the result of 9 top tier publications and 1 patent application.
    aiops
    deep-learning
    computer-vision
  • Zensors
    Zensors (S21)Active • 8 employees • San Francisco
    Zensors will convert every camera in your building into an AI powered supersensor. The AI platform does this by connecting to your existing cameras and can watches a space to track multiple workflows around capacity management, staffing, cleaning, customer experience and business asset tracking. The AI learns activity patterns to streamline facilities management or business processes and provides real time anomaly alerts, forecasts and rich data analytics.
    aiops
    artificial-intelligence
    computer-vision
  • SnapCalorie
    SnapCalorie (S21)Active • 5 employees • New York
    SnapCalorie is the world’s first app where you can take a photo of ANY meal and get an accurate calorie count. It takes seconds to use and is more accurate than a trained nutritionist. The team previously co-founded Google Lens, Cloud Vision API, and published a CVPR paper demonstrating the first algorithm to outperform a professional nutritionist at calorie counting.
    computer-vision
    fitness
    ai
  • LightTwist
    LightTwist (W21)Active • 4 employees • Boulder, CO
    LightTwist is your virtual studio in the cloud. Record and stream video in a customizable virtual studio that you control from your browser.
    augmented-reality
    computer-vision
    design-tools
  • Rex
    Rex (W23)Active • 4 employees • Zürich, Switzerland
    Rex.fit (formerly BabylonAI) is an AI fitness and nutrition coach. We use computer vision and AI to create interactive gamified workouts (sign up and try at https://www.rex.fit). We also offer a nutrition chatbot that simplifies food logging through natural language processing, making it as easy as texting a friend to track your dietary intake (try it out on telegram http://t.me/rex_nutribot).
    artificial-intelligence
    computer-vision
    consumer-health-services
    fitness
  • Mach9
    Mach9 (S21)Active • 12 employees • Pittsburgh, PA
    Mach9’s geospatial production software helps surveyors transform complex 3D geospatial data into 2D and 3D engineering models 30x faster and at half the cost. We use leading computer vision software to generate engineering-grade maps for entire utility and transportation networks needed to build and maintain infrastructure globally.
    artificial-intelligence
    machine-learning
    computer-vision
    infrastructure
  • Taiv
    Taiv (W20)Active • 19 employees • Winnipeg, Canada
    Taiv's proprietary TV box sits between the cable box and TV in sports bars and restaurants. We analyze the feed and use real-time AI to detect what the bar is showing and provide interactive content to enhance the experience. We're able to control their TVs and automatically switch between live sports, licensed content, and games. We offer this for free to venues and make money by selling ads, which we rev-share back with the venue. We also give them the ability to promote their own drink specials and events on their TVs.
    marketplace
    computer-vision
    b2b
  • Traces
    Traces (S19)Active • 10 employees • Mountain View
    We analyze thousands of video streams to find and track people without facial recognition. Our tech is available as an API and has multiple use cases. Unique people counting, forensic people search, falsa alarm filtering and many more.
    artificial-intelligence
    deep-learning
    computer-vision
  • Dream3D
    Dream3D (W23)Active • 3 employees • New York
    Dream3D is an AI-powered 3D design tool that makes it easy to create studio-quality computer graphics.
    generative-ai
    computer-vision
    design-tools
    ai
  • Scanbase
    Scanbase (W23)Active • 6 employees • Los Angeles, CA
    Scanbase makes it easy for medical companies to convert photos of rapid diagnostic tests into results. We do this by providing a simple API that any medical company can access.
    artificial-intelligence
    machine-learning
    computer-vision
    health-tech
    telemedicine
  • Aura Vision
    Aura Vision (W19)Active • 10 employees • London, United Kingdom
    Aura Vision is like Google Analytics for physical stores. We help retailers make more sales by using their existing security cameras and our plug & play AI to better measure their customers and stores.
    saas
    iot
    computer-vision
  • Segments.ai
    Segments.ai (W21)Active • 5 employees • Brussels, Belgium
    We are building a data platform for computer vision. Much like Tesla's data engine approach, our customers can label images, visualize model predictions, identify failure cases, improve their datasets and all in an iterative manner. Our platform is inherently an infrastructural backbone to help build better computer vision models through iterative dataset debugging. Already now, our platform contains the best labeling technology for image segmentation and point cloud labeling - give it a try at https://segments.ai !
    deep-learning
    developer-tools
    computer-vision
  • Activeloop
    Activeloop (S18)Active • 4 employees • Yerevan, Armenia
    We provide a simple API for creating, storing, versioning, and collaborating on multi-modal AI datasets of any size. With Activeloop's open-core stack, you can rapidly transform and stream data while training models at scale. Deep Lake powers foundational model training by acting as a vector database with significant benefits, such as (1) the ability to use multi-modal datasets to fine-tune your own LLM models, (2) storing both the embeddings and the original data with automatic version control, so no embedding re-computation is needed (3) truly serverless service with no vendor lock-in. How cool is that? GitHub loves us - we're one of the fastest-growing libraries there, and we're used by little-known companies like Google, Waymo, and Intel. No big deal. Our founding team hails from places like Princeton, Stanford, Google, and Tesla, and we're backed by Y Combinator & other Silicon Valley heavyweights. Activeloop is hiring, and we want you! Check out our open roles on our YC page and join the fun. 10-min demo: https://activeloop.wistia.com/medias/aibvo0dst2 Whitepaper: https://www.deeplake.ai/whitepaper
    computational-storage
    deep-learning
    machine-learning
    computer-vision
    open-source
  • Focal Systems
    Focal Systems (W16)Active • 170 employees • New York
    Focal Systems is on a mission to lower the cost of living for all mankind by automating and optimizing Brick and Mortar Retail with the latest advancements in AI. Focal Systems is the industry leader in retail automation solutions. By digitizing store shelves hourly and unleashing FocalOS, retailers unlock huge operational efficiencies, optimized merchandising, and streamlined supply chains which deliver impactful financial results. Focal is transforming retail by empowering store management to make automated, data-driven decisions. We are the operating system of retail.
    deep-learning
    grocery
    computer-vision
  • Mirror AI
    Mirror AI (W17)Active • 7 employees • San Francisco
    Mirror Emoji Keyboard by Mirror AI is an app that takes a photo of your face and creates you a set of personalized emoji. You get hundreds of them ready to be shared on messengers or social networks.
    computer-vision
    entertainment
  • Oda
    Oda (W20)Active • 3 employees • Los Angeles, CA
    Oda Studio is a real estate visual commerce platform that automatically optimizes real estate photos for quality and presentation, stages photos with furniture, décor and electronics, and allows e-commerce platforms to feature their products in real estate listings. Powered by AI and CGI, Oda Studio personalizes photo enhancement and staging to match user taste, enabling consumers to choose spaces and imagine their future lives as new residents.
    machine-learning
    computer-vision
    proptech
  • Hellometer
    Hellometer (S20)Active • 2 employees • Los Angeles, CA
    Hellometer helps fast food owners' grow same store sales using security cameras to improve customer wait times. Speed of service is fast food's core value proposition (it’s literally in the name) and owners currently don't have a reliable way to measure it. We show them when and where they have slowdowns and for every 7s they improve service times, owners see 1% increase in revenue.
    saas
    computer-vision
    b2b
  • Encord
    Encord (W21)Active • 50 employees • London, United Kingdom
    Encord's mission is to enable every company to harness the power of AI. Encord provides one platform for AI-assisted labeling & workflow tooling, model training & explainability, data curation, and finding & fix dataset errors and biases to get to production AI faster.
    artificial-intelligence
    developer-tools
    machine-learning
    computer-vision
    ai
  • Cleancard
    Cleancard (S23)Active • 3 employees • San Francisco
    We are combining synthetic biology and artificial intelligence to make cancer screening as easy as a pregnancy test. Cleancard is bringing lab-grade diagnostics into the comfort of your home. Our novel method enables robust diagnostics and biomarker tracking from the urine in just 30 minutes. Our rapid at-home screens can identify prostate, bladder and ovarian cancers. We are constantly expanding the number of conditions we can detect from a single sample using our platform technology.
    computer-vision
    biotech
    healthcare
    diagnostics
    ai
  • MICSI
    MICSI (S23)Active • 2 employees • New York
    MICSI is introducing AI software that doubles resolution and halves scan time. This breakthrough enables imaging centers to significantly enhance their capacity and patient throughput, potentially saving countless lives and generating an additional $2 million of revenue per MRI scanner. Our initial offering serves as a stepping stone toward the company’s larger vision of transforming the MRI into a truly quantitative instrument that is capable of providing highly reproducible data for more accurate diagnoses and patient management.
    computer-vision
    medical-devices
    healthcare
  • Shasta Health
    Shasta Health (S23)Active • 2 employees • San Francisco
    Shasta Health enables physical therapists to go independent, so they can make 3X more than working for a big clinic. Our AI platform automates patient acquisition, billing, and engagement, so they can focus on treating patients rather than running a business.
    generative-ai
    computer-vision
    digital-health
    healthcare
    ai
  • Overview
    Overview (W19)Active • 20 employees • San Francisco
    Overview is a company that takes the cutting edge in computer vision and deep learning and applies it to previously unsolvable manufacturing inspection problems. We are truly a full stack company. We install physical cameras into the facility, run inference on the edge and manage massive deployments. Overview also streams gigabytes of video/image data to the cloud for our web platform to give customers advanced insights and analytics.
    deep-learning
    iot
    computer-vision
  • Cerelyze
    Cerelyze (S23)Active • 1 employees • New York
    Manually labelling images is soo 2022.. We enable you to go from unlabelled images to an ultra low latency computer vision system in a click of a button
    artificial-intelligence
    developer-tools
    saas
    computer-vision
    b2b
  • Dabble
    Dabble (W15)Active • 3 employees • Toronto, Canada
    Dabble is a virtual photo studio for e-commerce powered by hyper-realistic CGI and computer vision. The demand for content in retail is skyrocketing due to the pandemic induced surge in online shopping, but product photography is still extremely slow, tedious and expensive. We’re building a platform to scale and automate product photography for every e-commerce brand.
    artificial-intelligence
    augmented-reality
    computer-vision
  • Shape (ShapeScale)
    Shape (ShapeScale) (S15)Active • 7 employees • San Francisco
    Shape is a health tech startup based in San Francisco, California. We are backed by Y Combinator and the company is led by experienced hardware serial entrepreneurs. Shape has designed a product called ShapeScale. ShapeScale is transforming the way we measure our health goals by enabling you to visualize yourself in 3D and see where you have been losing fat and gaining muscle.
    hardware
    computer-vision
    consumer-health-services
  • Allure Systems
    Allure Systems (W19)Acquired • 18 employees • New York
    Allure Systems was Acquired by Farfetch (NASDAQ: FTCH) in Dec 2021. AllureSystems uses generative A.I. to create stunning apparel images for eCommerce. Allure works with leading fashion retailers to improve conversion rates by creating images that resonate with their clients in a scalable and cost-effective way. With a single photo of clothing, a brand can produce unlimited images, on any model, instantly. The ability to show styles on models in every size increases conversion rates and wow the customers. Without needing models or photographers on-site, brands can produce images for their product page at scale.
    generative-ai
    computer-vision
    e-commerce
    ai
  • Jido Maps
    Jido Maps (W18)Acquired • 6 employees • Berkeley, CA
    We help teams that may or may not have machine learning expertise quickly turn their data into deployed computer vision models. Example applications include security camera monitoring, automating data entry, interpreting web scraped images, validated user photo inputs, augmented reality and mobile product scanning. If you have visual or scanned data that you wish your software could interpret at scale, we can turn around a first proof of concept in under a week. Reach out and see how computer vision can change your business.
    deep-learning
    indoor-mapping
    machine-learning
    computer-vision
  • GazeHawk
    GazeHawk (S10)Acquired • 2 employees • Mountain View
    GazeHawk provides low-cost eye tracking technology for use in usability studies and ad evaluation. Our proprietary technology allows us to use ordinary webcams to run studies. This enables in-home eye tracking, as well as fast, affordable large-scale studies.http://www.gazehawk.com/
    computer-vision
  • Flutter (W12)Acquired • 2 employees • Santa Monica, CA
    Flutter is recreating the magic of seeing someone in real-life for the first time, on your phone. Flutter lets you record short, ephemeral videos to express yourself and capture the attention of potential matches nearby. Users browse through nearby videos and, just like Tinder, like or pass on each one before moving on to the next. Here’s the catch: to actually match with someone, you have to be on the app at the same time and look into each other’s eyes for 15 seconds to see if there’s a spark. We help users play this game by sending push notifications when people they like are online. Video is so powerful. We've seen this with YouTube, Snapchat, Meerkat. And 15 seconds of live, two-way video can tell you so much more about a person than hand-picked photos and bios.
    computer-vision
  • Iris Automation (S16)Acquired • San Francisco
    The future for autonomous industrial drones is in sight - Enabling safer drone operation through intelligent collision avoidance. We are a Y Combinator and Silicon Valley investor company with a team from NASA, Boeing and PhDs in computer vision. Read more at: https://tinyurl.com/y7tm4zr8 Website: www.IrisOnBoard.com
    drones
    computer-vision
    ai
  • ClipDrop
    ClipDrop (W21)Acquired • 5 employees • Paris, France
    ClipDrop is an app that turns regular mobile photos into professional product visuals. Thanks to companies like Poshmark, Etsy and Ebay, there are now over 25M sellers who need great visuals for their shops but most of them don’t have access to a professional photographer or a design team. We replace all of this with our app available on mobile and desktop. We’re a team of former Google, Facebook employees and Machine learning PhD’s and academic Professors. We believe that machine learning will bring professional photography and design to millions of businesses for a fraction of the cost.
    saas
    computer-vision
    design-tools
  • CrowdAI
    CrowdAI (S16)Acquired • 32 employees • San Francisco
    CrowdAI equips enterprises of all sizes with the power of deep learning and the approachability and speed of no-code software. Our easy-to-master platform allows users of all technical abilities, from business operators to data scientists, to power real-time decisions from their visual world. Recognizing data as the new code, CrowdAI is the only vision AI platform to truly provide organizations with the infrastructure for the entire AI-lifecycle, empowering you to label data systematically, train models efficiently, scale models iteratively, and power decisions continuously.
    machine-learning
    computer-vision