Computer Vision Startups funded by Y Combinator (YC) in the San Francisco Bay Area 2025

January 2025

Browse 18 of the top Computer Vision startups funded by Y Combinator. Headquartered in the San Francisco Bay Area, these are some of the hottest and fastest-growing startups.

We also have a Startup Directory where you can search through over 5,000 companies.

  • Matterport
    Matterport (w2012)Public • 201 employees • Sunnyvale, CA, USA
    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
  • Veryfi, Inc.
    Veryfi, Inc. (w2017)Active • 60 employees • San Mateo, CA, USA
    Veryfi is a Data Transformation Platform turning Documents into Data in Seconds with Accuracy & Speed Surpassing Humans. Veryfi gives you a fully integrated suite of data transformation products for you to securely capture, extract and transform bills, receipts and invoices into structured data for use in your app, website or backoffice. To learn more https://www.veryfi.com/ ITS TIME TO BUILD Veryfi's developer friendly toolkits enable superior products that automate Expense Management, AP/Bill Pay, Bookkeeping and provide consumer spend behavior in Market Research Invoices, Bills & POs 10 mins of data entry per invoice? No way! 5 seconds and it's done. Untap a goldmine of data down to line-items. Expense Receipts No more painful data entry for expense reimbursement. Bonus: comply with new data privacy regulations. FMCG/CPG Receipts Data is the new oil. Understand consumer spend across retail from SKUs in seconds. Hotel Folios Supercharge your travel & expense management product with a wealth of data minus the tedious data entry. W-2 Tax Form β Extract every drop of tax data from W2s in seconds. Including handwritten notes, checkboxes and multi-lines. Cards β Capture and extract data Credit Cards, Business Cards and Healthcare Insurance Cards in seconds. More: https://www.veryfi.com/
    artificial-intelligence
    machine-learning
    computer-vision
    api
  • Ambient.ai
    Ambient.ai (w2017)Active • 95 employees • San Jose, CA, USA
    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
  • Mirror AI
    Mirror AI (w2017)Active • 7 employees • San Francisco, CA, USA
    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
  • Activeloop
    Activeloop (s2018)Active • 15 employees • Mountain View, CA, USA
    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
    generative-ai
    computer-vision
    open-source
  • Traces
    Traces (s2019)Active • 10 employees • Mountain View, CA, USA
    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
  • Mach9
    Mach9 (s2021)Active • 15 employees • San Francisco, CA, USA
    Mach9 is at the forefront of leveraging advanced machine learning and computer vision techniques to transform geospatial data into actionable insights for urban development and infrastructure management. Our cutting-edge technology automates the detection and analysis of key urban features, aiding in the planning and maintenance of transportation networks.
    machine-learning
    computer-vision
    infrastructure
    ai
  • CAPSULE
    CAPSULE (s2022)Active • 4 employees • San Francisco, CA, USA
    CAPSULE is a mobile app that makes it easy to save and buy the things you find on any social media platform. Just snap a screenshot of anything you like, from any platform, and we search the entire internet to instantly give you shoppable links. Instead of searching hundreds of websites and sifting through thousands of products on your own, CAPSULE lets you find inspiration from anywhere and uses advanced machine learning to return results that feel like magic.
    artificial-intelligence
    generative-ai
    machine-learning
    computer-vision
    e-commerce
  • Shape (ShapeScale)
    Shape (ShapeScale) (s2015)Active • 7 employees • San Francisco, CA, USA
    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
  • Mashgin
    Mashgin (w2015)Active • 75 employees • Palo Alto, CA, USA
    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.
    cashierless-checkout
    deep-learning
    hardware
    computer-vision
    ai
  • Roboflow
    Roboflow (s2020)Active • 50 employees • San Francisco, CA, USA
    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
    computer-vision
    api
    ai
  • Overview
    Overview (w2019)Active • 15 employees • San Francisco, CA, USA
    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
  • Eventual
    Eventual (w2022)Active • 5 employees • San Francisco, CA, USA
    Eventual is a data warehouse for ML/AI. We are building an integrated development experience for data scientists and engineers to build ML/AI applications which query and process multimodal data (images, video, audio and 3D scans). Daft (https://www.getdaft.io) is our open-sourced distributed data query engine. It has a Python Dataframe API and is built in Rust, providing both ease of use and performance for use-cases such as ML data engineering, training data ingestion and general data analytics. 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
  • Zensors
    Zensors (s2021)Active • 8 employees • San Francisco, CA, USA
    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
  • BotCity
    BotCity (w2022)Active • 18 employees • San Francisco, CA, USA
    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
  • CrowdAI
    CrowdAI (s2016)Acquired • 32 employees • San Francisco, CA, USA
    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
  • GazeHawk
    GazeHawk (s2010)Acquired • 2 employees • Mountain View, CA, USA
    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
  • Jido Maps
    Jido Maps (w2018)Acquired • 6 employees • Berkeley, CA, USA
    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