Computer Vision Startups funded by Y Combinator (YC) in the San Francisco Bay Area 2024

May 2024

Browse 19 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.

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  • 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
  • Shasta Health
    Shasta Health (s2023)Active • 2 employees • San Francisco, CA, USA
    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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Focal Systems
    Focal Systems (w2016)Active • 170 employees • New York, NY, USA
    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
  • Scanbase
    Scanbase (w2023)Active • 6 employees • Los Angeles, CA, USA
    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
  • Rex
    Rex (w2023)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
  • 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
  • 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
  • Iris Automation (s2016)Acquired • San Francisco, CA, USA
    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
  • 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