Machine Learning Startups funded by Y Combinator (YC) 2024

February 2024

Browse 100 of the top Machine Learning startups funded by Y Combinator.

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

  • Cruise
    Cruise (w2014)Acquired • 3,000 employees • San Francisco, CA, USA
    Cruise is building the world’s most advanced, all-electric, self-driving car technology to safely connect people with the places, things, and experiences they care about. Self-driving cars will help save lives, reimagine cities, redefine time in transit, and restore freedom of movement for individuals who live in dense urban settings. Acquired by GM in 2016.
    autonomous-delivery
    machine-learning
    climate
    ai
    self-driving-vehicles
  • Scale AI
    Scale AI (s2016)Active • 500 employees • San Francisco, CA, USA
    Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.
    artificial-intelligence
    machine-learning
  • Relativity Space
    Relativity Space (w2016)Active • 1,000 employees • Los Angeles, CA, USA
    Relativity is building humanity’s multiplanetary future. We invented a new approach to design, build, and fly our own rockets, starting with Terran 1 – the world’s first entirely 3D printed rocket, and Terran R, our next generation medium-heavy lift fully reusable launch vehicle. As a vertically integrated technology platform, Relativity is at the forefront of an inevitable shift toward software-defined manufacturing. By fusing 3D printing, artificial intelligence, and autonomous robotics, we are pioneering the factory of the future. Disrupting 60 years of aerospace, Relativity offers a radically simplified supply chain, building a rocket with 100x fewer parts in less than 60 days. We believe in a future where interplanetary life fundamentally expands the possibilities for human experience. Our long-term vision is to upgrade humanity’s industrial base on Earth and on Mars.
    machine-learning
    space-exploration
    rocketry
    3d-printing
    manufacturing
  • Flock Safety
    Flock Safety (s2017)Active • 800 employees • Atlanta, GA, USA
    Flock Safety provides the first public safety operating system that empowers private communities and law enforcement to work together to eliminate crime. We are committed to protecting human privacy and mitigating bias in policing with the development of best-in-class technology rooted in ethical design, which unites civilians and public servants in pursuit of a safer, more equitable society. Our Safety-as-a-Service approach includes affordable devices powered by LTE and solar that can be installed anywhere. Our technology detects and captures objective details, decodes evidence in real-time and delivers investigative leads into the hands of those who matter. While safety is a serious business, we are a supportive team that is optimizing the remote experience to create strong and fun relationships even when we are physically apart. Our flock of hard-working employees thrive in a positive and inclusive environment, where a bias towards action is rewarded. Flock Safety is headquartered in Atlanta and operates nationwide. We have raised $150M in our Series E led by Tiger Global at a $3.5B valuation.
    hardware
    machine-learning
    saas
  • Sift
    Sift (s2011)Active • San Francisco, CA, USA
    Sift is the leader in Digital Trust & Safety, empowering digital disruptors to Fortune 500 companies to unlock new revenue without risk. Sift dynamically prevents fraud and abuse through industry-leading technology and expertise, an unrivaled global data network of 70 billion events per month, and a commitment to long-term customer partnerships. Global brands such as DoorDash, Twitter, and Wayfair rely on Sift to gain a competitive advantage in their markets.
    fintech
    machine-learning
    saas
    b2b
  • Tempo
    Tempo (w2015)Active • 158 employees • San Francisco, CA, USA
    SmartSpot is a post Series-A stealth startup backed by Founders Fund and Khosla Ventures that uses computer vision to deliver an unparalleled fitness training experience to your home. Our unique hardware solution gives amazing trainers the ability to see their class participants in real time and deliver detailed advice that was previously only possible in person.
    machine-learning
    consumer-health-services
  • TRM Labs
    TRM Labs (s2019)Active • 180 employees • San Francisco, CA, USA
    At TRM, we're on a mission to build trust in digital assets, because the promise of crypto is too valuable to be impeded by bad actors. We provide a blockchain intelligence platform to law enforcement, financial institutions, and crypto firms to assist in the detection and prevention of cryptocurrency fraud and financial crime. Our vision is to build a company that can sustainably deliver on our mission for decades to come, enabling consumers to transact safely and securely on the blockchain. Join our mission ➔ www.trmlabs.com/careers
    fintech
    machine-learning
    crypto-web3
    data-engineering
  • PicnicHealth
    PicnicHealth (s2014)Active • 100 employees • San Francisco, CA, USA
    Healthcare needs good data. At PicnicHealth, we are building deep real-world datasets fueling cutting-edge research while giving patients control of their own medical record data. These complete, clinically-rich datasets produce unique insights — across dozens of diseases — to ultimately get the right treatments into patients’ hands faster. We work directly with patients and leverage state of the art machine learning to transform messy medical records into structured, research-ready datasets. To date we’ve helped tens of thousands of patients securely access their records and proactively contribute to advancing research in diseases that impacts their lives.
    machine-learning
    health-tech
    digital-health
    healthcare
    nlp
  • Pachama
    Pachama (w2019)Active • 85 employees • San Francisco, CA, USA
    Pachama is a leading climate-tech company harnessing cutting-edge technologies such as computer vision and satellites to drive funding to effective reforestation and conservation projects that sequester carbon, enhance biodiversity and enrich local communities around the world. Through a tech-verified marketplace that counts as customer the likes of Amazon, Airbnb, Netflix and Nespresso, the company drives capital to forests in Brazil, Mexico, India, the USA and beyond. The company is backed by top investors such as Bill Gates' BEV, Chis Sacca's LowerCarbon, Amazon Climate Pledge among others. The company is fully remote and driven by a strong sense of purpose.
    carbon-capture-and-removal
    machine-learning
    climate
  • Delphia
    Delphia (w2018)Active • 35 employees • Toronto, ON, Canada
    [Delphia](https://delphia.com/) is building a new kind of asset manager that rethinks the value of data and how it can be used to gain an edge in forecasting markets. We believe that actively managing people’s data can unlock new forms of wealth creation for individual and institutional investors alike. To create the next [Millennium](https://www.mlp.com/) (and eventually, [Blackstone](https://www.blackstone.com/)), you need each of the following; 1. A captivating reason for people to connect their data ([in beta](https://abr.ge/k4xqep)) 2. A way to automate data extraction from aggregators ([acquired](https://www.prnewswire.com/news-releases/delphia-strengthens-data-rights-with-acquisition-of-fathom-privacy-301696745.html)) 3. A cooperative way to ensure "fair trade" compensation for data ([built](https://www.supersetdao.com/)) 4. A way to reward data contributors transparently and irreversibly ([on pause](https://www.coindesk.com/business/2022/09/28/algorithmic-stock-platform-delphia-debuts-digital-asset-component/)) 5. A way to discover investment managers with uncorrelated alpha ([open sourced](https://github.com/charliereese/investos)) 6. A way to help investment managers make use of our data advantage ([partnered](https://covariance.ai/)) 7. A way to access to stock order flow that has net benefit to retail investors (coming soon) 8. Capacity rights in investment strategies whose returns improve with data ([first of many](http://www.oraclealpha.com/)), and 9. A secure training environment for third-party ML models (the goal of our next venture round) If our thesis bears out, the $7 billion alternative data industry ([$135 billion by 2030](https://explodingtopics.com/blog/alternative-data-market)) may be in for a Cambrian explosion that has yet to be priced in. Being able to acquire ground truth cost-effectively using first-party data, and thus being able to forecast fundamentals more accurately, is the key to attracting the world's best investment ideas to a platform. People at Delphia are socially-minded creatives at heart. Our teams are continually researching, iterating, and solving hard problems in order to generate new forms of economic returns. Our multi-disciplinary team was founded in 2018 and is a graduate of [Y Combinator](https://ycombinator.com/) and the [Creative Destruction Lab](https://creativedestructionlab.com/). We’ve raised three rounds of funding ([~$80 million](https://www.crunchbase.com/organization/delphia)) to date.
    artificial-intelligence
    fintech
    machine-learning
    dao
  • 64x Bio
    64x Bio (s2018)Active • 25 employees • San Francisco, CA, USA
    64x Bio is building a platform that radically increases the speed and scale of mammalian cell line discovery. Using a novel high throughput discovery and screening platform and an integrated computational design loop, we are developing new ways of generating highly optimized and otherwise unattainable cell lines for the manufacturing of viral vectors, with a specific focus on those used for cell and gene therapies. Our platform technology enables pharmaceutical and biotechnology companies to bring cell and gene therapies to patients more effectively, providing purpose-built genetically engineered cell lines to increase the efficiency of viral vector production and reduce the cost of manufacturing.
    gene-therapy
    machine-learning
  • Shelf Engine
    Shelf Engine (s2018)Active • 40 employees • Seattle, WA, USA
    Shelf Engine helps businesses increase sales by accurately predicting the perfect amount of perishable goods to order, thus reducing food waste.
    machine-learning
  • Roboflow
    Roboflow (s2020)Active • 40 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
    artificial-intelligence
    developer-tools
    machine-learning
    computer-vision
    api
  • Humanloop
    Humanloop (s2020)Active • 10 employees • London, UK
    We help developers and founders build impactful applications on top of large language models and improve these systems with human feedback.
    artificial-intelligence
    generative-ai
    machine-learning
    saas
    nlp
  • PowerX
    PowerX (w2020)Active • 20 employees • New York, NY, USA
    PowerX AI powered sensors create proprietary data to save corporations 30% or more in energy, water and emissions. 
    machine-learning
    iot
    climate
    energy
  • 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
  • Koko
    Koko (s2017)Active • 25 employees • Palo Alto, CA, USA
    Full Sleep by Koko Labs is the first at-home sleep program that combines the power of clinical grade, radar based wireless sleep tracking with best-in-class CBT-I sleep techniques. Full Sleep delivers daily lessons developed with evidence-based principles. The multi-week curriculum is customized based on your daily overnight sleep data and other health conditions that could impact sleep, such as menopause, chronic pain, or depression. Learn how to challenge assumptions, change habits, and introduce behaviors to help you fall and stay asleep.
    hardware
    machine-learning
    consumer-health-services
  • SPATE
    SPATE (s2018)Active • 15 employees • New York, NY, USA
    Spate is your machine intelligence solution for finding the next big trend in Beauty and Food. For example, we spotted trends such as turmeric, face masks, and cold brew.
    machine-learning
    ai
  • Klarity
    Klarity (s2018)Active • 11 employees • San Francisco, CA, USA
    Klarity's software establishes robust controls for the review of contracts with customers for revenue recognition and billing purposes. Klarity is the missing piece between CRM, ERP, and CLM systems purposely built to (1) provide an audit-trail to document your ASC 606 and SOX controls, (2) save time for your revenue accounting team through automated contract review and revenue checklist population, and (3) enable early reporting throughout every accounting period.  Klarity's products are used by companies like Salesforce, TIBCO, Segment, Checkr and Zscaler.
    artificial-intelligence
    machine-learning
    saas
  • Birch Biosciences
    Birch Biosciences (s2022)Active • 8 employees • Portland, OR, USA
    Birch Biosciences engineers enzymes for plastic recycling using synthetic biology and machine learning. Our enzymes function as high performance “molecular scissors” that efficiently break down plastic polymers into chemical building blocks that can be used to manufacture high quality recycled plastic products. Today, plastic manufacturing is unsustainable and a major driver of climate change. Birch Biosciences is developing an economical end-to-end plastic recycling process that reduces carbon emissions by 70% and enables a circular plastic economy.
    machine-learning
    synthetic-biology
    biotech
    climate
    climatetech
  • Linc.
    Linc. (s2023)Active • 3 employees • San Francisco, CA, USA
    Linc is an AI agent to automate workflows in logistics. Our first product is an AI Copilot for logistics vendors that parses inbound (emails + documents + spreadsheets) and syncs this data with systems of record (ERPs/spreadsheets).
    artificial-intelligence
    machine-learning
    logistics
    enterprise-software
    automation
  • PropRise
    PropRise (s2023)Active • 2 employees • San Francisco, CA, USA
    PropRise is a next-generation data and analytics provider transforming the commercial real estate (CRE) sector through AI-driven automation. We specialize in sourcing alternative and hard-to-find data, converting unstructured formats—ranging from documents to images to audio—into structured, actionable insights. Our platform gives brokers and investors near real-time access to critical data such as sales comparables, rental history, and owner contacts, significantly enhancing the acquisitions process. Our mission is to be the catalyst for growth and innovation in the CRE market. We offer an unparalleled competitive advantage by delivering 10x the data at 1/100th the cost of traditional providers. Powered by proprietary machine learning algorithms, PropRise is redefining data collection and analytics in commercial real estate.
    machine-learning
    saas
    real-estate
    b2b
    analytics
  • Cascading AI
    Cascading AI (s2023)Active • 3 employees • San Francisco, CA, USA
    Casca is building AGI for banking. We are replacing 30+ year-old legacy technology with AI-native systems of record that automate 90% of the manual work humans used to have to do. Our first product is an AI-native Loan Origination System - with a built-in AI Agent, called Sarah. Sarah communicates with small business loan applicants via email or sms, guides them through the application process and prepares the loan file for a human underwriter. Why? Small businesses are the heart of the American economy and a lot of banks shy away from providing funding because of the manual effort in pursuing those deals. With us, that changes and unlocks affordable, quick bank funding for the 30M+ small businesses in the US as opposed to the high interest rates from online lenders.
    artificial-intelligence
    conversational-banking
    fintech
    machine-learning
    finance
  • Sapling.ai
    Sapling.ai (w2019)Active • 2 employees • San Francisco, CA, USA
    Sapling offers an API and SDK to help businesses integrate language models into their applications. Its messaging assistant sits on top of CRMs and messaging platforms to help users more efficiently compose responses.
    artificial-intelligence
    deep-learning
    generative-ai
    machine-learning
    b2b
  • Subsets
    Subsets (s2023)Active • 5 employees • Copenhagen, Denmark
    Subsets uses AI to automate retention in subscription media. We help increase life-time value by enabling commercial teams to create AI-driven experiments and automations, without engineering support.
    machine-learning
    b2b
    enterprise
    crm
    automation
  • Empower
    Empower (s2023)Active • 2 employees • San Mateo, CA, USA
    Empower is a serverless LLM hosting platform for fine-tuned models that delivers performance on par with dedicated instances, but only at a fraction of the cost. Empower allows users to directly deploy fine-tuned LoRAs, and pay for token usage, not GPU time. With Empower, you can easily cut your model serving cost by more than 80%.
    artificial-intelligence
    machine-learning
    saas
    ai
  • Anarchy
    Anarchy (w2023)Active • 5 employees • Zürich, Switzerland
    Anarchy provides open-source LLM training infrastructure and tooling for developers. We provide a platform to help developers manage their datasets and fine-tunes.
    developer-tools
    generative-ai
    machine-learning
    infrastructure
    ai
  • Blue Onion Labs
    Blue Onion Labs (s2020)Active • 20 employees • New York, NY, USA
    We integrate via API across a company’s stack to trace and reconcile millions of financial transactions across multiple systems, providing the functionality of a legacy ERP system without the time and cost of a traditional implementation.
    machine-learning
    finance
  • PostEra
    PostEra (w2020)Active • 34 employees • Boston, MA, USA
    PostEra is building a modern 21st century biopharma. We're using our advances in machine learning to accelerate Medicinal Chemistry and bring more cures to patients. PostEra advances small molecule programs through partnerships with biopharma while also advancing its own internal pipeline. We've raised $26M from top investors and closed $1Bn in AI partnerships, signing multi-year agreements with Amgen, Pfizer and the NIH. PostEra also launched and led the world's largest open-science drug discovery effort; COVID Moonshot.
    ai-powered-drug-discovery
    machine-learning
    covid-19
  • MindsDB
    MindsDB (w2020)Active • 24 employees • San Francisco, CA, USA
    MindsDB is a fast-growing open-source company that enables developers to quickly integrate Artificial Intelligence Logic into applications and ship AI-powered solutions from prototyping & experimentation to production in a fast & scalable way. MindsDB was founded in 2017 by Adam Carrigan (COO) and Jorge Torres (CEO) and based in San Francisco, California, is backed with over $50M in total funding from Mayfield, Benchmark, YCombinator, OpenOcean, Walden Catalyst Ventures, MMC, Speedinvest, TQ Ventures and the University of California Berkeley SkyDeck fund. MindsDB is also recognized by Forbes as one of America's most promising AI companies (2021) and by Gartner as a Cool Vendor for Data and AI (2022).
    developer-tools
    machine-learning
    open-source
  • Invert
    Invert (w2022)Active • 23 employees • Copenhagen, Denmark
    We build software to manage, analyze, and optimize bioprocessing data. Our initial customers are bio-industrial companies, who produce various products in bioreactors.
    cellular-agriculture
    machine-learning
    synthetic-biology
    biotech
  • Haplotype Labs
    Haplotype Labs (w2024)Active • 1 employees • Orinda, CA, USA
    We're building the HaploHub: a SaaS platform for genetic testing labs, concierge medical practices, and payer/providers to: * predict disease risk for their patients based on proprietary or publicly available genetic models * securely host, manage, and interrogate the genetic data of their population * run the most common inference algorithms (phasing, imputation, ibd, etc.) without writing code
    artificial-intelligence
    machine-learning
    saas
    healthcare
    genomics
  • Revl
    Revl (w2016)Active • 22 employees • San Francisco, CA, USA
    Revl is an experience technology company and Y Combinator 2016 Winter Batch member launching the Revl Arc smart action camera. Designed in coordination with frogVentures, Sony, Ambarella and leading engineers with backgrounds at NASA, HP and Sikorsky Aircraft, the Revl Arc is available for preorder and will begin shipping in December. Revl was founded in 2015 and is based in San Francisco. For more information, please visit www.revl.com
    machine-learning
    saas
    sports-tech
    b2b
    video
  • Darmiyan
    Darmiyan (s2017)Active • 8 employees • San Francisco, CA, USA
    Novel quantitative virtual microscopy for early detection of Alzheimer's disease from non-invasive MRI.
    artificial-intelligence
    machine-learning
    health-tech
    diagnostics
  • Diffuse Bio
    Diffuse Bio (w2023)Active • 5 employees
    At Diffuse Bio we’re building a push-button entirely AI software platform for molecular design, leveraging breakthroughs in generative AI. Our team has been behind breakthroughs in AI protein design for the past 6 years, including the first experimental validation of AI-generated proteins and diffusion models for protein structure and sequence.
    ai-powered-drug-discovery
    deep-learning
    generative-ai
    machine-learning
    biotech
  • Encord
    Encord (w2021)Active • 70 employees • London, UK
    Encord is the leading data platform for advanced computer vision teams: Streamline labeling and RLHF workflows, observe and evaluate models, and manage & curate data to get to production AI faster. Encord's mission is to enable every company to harness the power of AI.
    artificial-intelligence
    developer-tools
    machine-learning
    computer-vision
    ai
  • Replicate
    Replicate (w2020)Active • 27 employees • San Francisco, CA, USA
    artificial-intelligence
    developer-tools
    machine-learning
    community
    open-source
  • adyn
    adyn (s2020)Active • 7 employees • Seattle, WA, USA
    fertility-tech
    machine-learning
    consumer-health-services
  • Guac
    Guac (s2023)Active • 4 employees • Broadway, New York, NY, USA
    Guac accurately forecasts demand for grocery retailers, to reduce food waste and increase availability.
    grocery
    machine-learning
    climate
    supply-chain
  • Continue
    Continue (s2023)Active • 2 employees • Haight St, San Francisco, CA, USA
    Continue is an open-source autopilot for VS Code and JetBrains—the easiest way to code with any LLM. It’s built to be deeply customizable and continuously learn from development data
    artificial-intelligence
    developer-tools
    devsecops
    machine-learning
    open-source
  • Pyq AI
    Pyq AI (w2023)Active • 2 employees • Seattle, WA, USA
    We make it easy for companies to build their own customized, task-specific and reliable AI models. The resulting LLMs are more accurate, faster and cheaper to use than off-the-shelf solutions. You always own your own model, and can run it in your own cloud or ours.
    aiops
    developer-tools
    machine-learning
    b2b
    ai
  • Trainy
    Trainy (s2023)Active • 2 employees • San Francisco, CA, USA
    We help ML engineers training large models eliminate performance bottlenecks during training. Trainy summarizes profiling information during large distributed training so that you know exactly what is limiting the speed of your model training and applies optimizations through our training platform to get the most out of your compute.
    developer-tools
    machine-learning
    saas
    open-source
  • CambioML
    CambioML (s2023)Active • 3 employees • San Jose, CA, USA
    CambioML bridges the gap between RLHF finetuning and data curation: a unified interface with interactive user interface, compute environment, and auto-structured data. Our goal is to launch ML models to production 10x faster by eliminating the time spent on data and model mismatch.
    developer-tools
    machine-learning
    b2b
    open-source
    enterprise
  • Theorem
    Theorem (w2014)Active • 34 employees • San Francisco, CA, USA
    Theorem conducts independent underwriting of consumer loans originated by banks, credit cards companies and other lenders. We utilize this information to manage institutional capital and securitize loans
    fintech
    machine-learning
  • Rubber Ducky Labs
    Rubber Ducky Labs (w2023)Active • 1 employees • San Francisco, CA, USA
    Rubber Ducky Labs builds operational analytics for recommender systems. We build tools to debug, analyze, and improve recommender systems, allowing machine learning teams to move faster on projects that have a direct impact on the company's bottom line.
    artificial-intelligence
    machine-learning
    b2b
    e-commerce
    recommendation-system
  • Andromeda Surgical
    Andromeda Surgical (s2023)Active • 7 employees • San Francisco, CA, USA
    We're building autonomous robots to make surgery more consistent, error free, and efficient. Nick is a 3x founder from medtech who co-founded a $1 billion company. Kartik is a 3x founder from autonomous vehicles who built and launched the world's first driverless truck. Surgical robotics companies are worth ~$200 billion total. AI will dominate the next generation of surgical robotics and we will be the first to build it. We're starting with a common urologic procedure that has by far the best outcomes but is not widely adopted due to technical difficulty.
    hard-tech
    machine-learning
    medical-robotics
    medical-devices
    ai
  • Oda
    Oda (w2020)Active • 9 employees • Los Angeles, CA, USA
    Oda is an AI agent for home design. Homebuyers and renters alike can use Oda to discover their interior design preferences, apply those preferences to their new home, and then find the best furniture, décor, and appliances aggregated from many different online retailers. Oda distributes its product to homebuyers and renters through partnerships with real estate companies and platforms. Real estate partners add Oda AI iFrames to their websites to showcase listed homes with AI-generated designs. Each AI iFrame is directly linked to an Oda board, allowing consumers to transition from an iFrame to Oda to further personalize the designs and create their dream home.
    machine-learning
    computer-vision
    e-commerce
    ai-assistant
  • Byterat
    Byterat (w2023)Active • 3 employees • San Francisco, CA, USA
    Byterat is the modern cloud platform for battery data analytics in R&D and production. Byterat directly integrates with lab hardware, pulls data into one dashboard and analyzes it to unlock hidden insights connecting design to performance.
    energy-storage
    machine-learning
    climate
    databases
  • Aquarium Learning
    Aquarium Learning (s2020)Active • 12 employees • San Francisco, CA, USA
    ML models are only as good as the datasets they're trained on, and that means that most improvement to model performance comes from improvement to the quality and diversity of their datasets. Our tooling makes it easy for ML teams to find anomalies + failure patterns in their datasets and fix these problems by editing / adding the right data. So the next time you retrain your model, it just gets better.
    artificial-intelligence
    deep-learning
    developer-tools
    generative-ai
    machine-learning
  • MTailor
    MTailor (s2014)Active • 11 employees • San Francisco, CA, USA
    MTailor is an ipad or iphone service for men to capture their shirt size dimensions and have tailor made shirts made and delivered.
    machine-learning
    e-commerce
    apparel
  • Milk Video
    Milk Video (w2021)Active • 2 employees • New York, NY, USA
    Milk Video is a video marketing platform that simplifies short-form video creation for marketers. Anyone can collect, clip, and ship video content such as customer testimonials, employee testimonials, and thought pieces in minutes.
    machine-learning
    design-tools
    video
  • Polymath Robotics
    Polymath Robotics (s2022)Active • 9 employees • San Francisco, CA, USA
    Polymath is building a general autonomy stack for cautious vehicles. Our software allows any industrial vehicle - whether it's a tractor in a field or a bulldozer in a mine, drive itself. We bundle together AI, ML, Controls, ROS, Safety and best-in-class deployment practices to enable our customers to tell automated vehicles to do via a REST API. We're on more robots than we have engineers, are seeing our revenue (and robotic fleet) grow rapidly, and are looking for folks who want to help automate the world.
    hard-tech
    machine-learning
    robotics
    unmanned-vehicle
    ai
  • Pibit.ai
    Pibit.ai (w2021)Active • 30 employees • Palo Alto, CA, USA
    Pibit.ai is an insurtech company turns unstructured submission documents like loss runs, SOVs, applications into structured data, enrich data from third-party sources, provides a comprehensive view of information, enabling better decision-making and automation within the commercial underwriting workflow.
    generative-ai
    machine-learning
    saas
    b2b
    insurance
  • Flat
    Flat (s2020)Active • 130 employees • Mexico City, CDMX, Mexico
    We are the real estate super app for Mexico combining a marketplace with over 20,000 properties, a crm for brokers, financial services including a mortgage brokerage, renovations and the leading data layer for residential real estate in the country.
    fintech
    machine-learning
    marketplace
    proptech
  • Imbue (formerly Generally Intelligent)
    Imbue (formerly Generally Intelligent) (s2017)Active • 15 employees • San Francisco, CA, USA
    Imbue builds AI systems that reason and code, enabling AI agents to accomplish larger goals and safely work in the real world. We train our own foundation models optimized for reasoning and prototype agents on top of these models. By using these agents extensively, we gain insights into improving both the capabilities of the underlying models and the interaction design for agents. We aim to rekindle the dream of the *personal* computer, where computers become truly intelligent tools that empower us, giving us freedom, dignity, and agency to pursue the things we love.
    machine-learning
    data-engineering
    ai
  • Soteris
    Soteris (s2019)Active • 4 employees • San Francisco, CA, USA
    Soteris is a YC-backed company with a four-person team and a great investor base building a first-of-its-kind data ML pricing system for insurance, starting with personal auto.
    fintech
    machine-learning
    ai
  • Well Principled
    Well Principled (s2019)Active • 10 employees • St. Louis, MO, USA
    Well Principled's S&OP software optimizes promo calendars, ad spend budgets and demand plans for consumer durables brands by merging academic business research into A.I. that truly understands consumer behavior. We have the world's most sophisticated model for understanding “multi-generation consumer durables,” as in, if I run a promo on the mid-range toaster, what will happen to sales of the low and high-end…on Black Friday, if we move 20% of Facebook to Radio, and Wal-Mart is stocked out, all at the same time? Our software allows enterprise brands to know which promos and ad spends to plan and organizes those plans in collaborative S&OP forecasting software.
    artificial-intelligence
    machine-learning
    saas
  • Rosebud AI
    Rosebud AI (s2019)Active • 10 employees • San Francisco, CA, USA
    Rosebud is building the AI Roblox. We will make it 1000X easier for a community of game devs to create and enjoy the games of their dreams. ‍ We’re a team of PhD researchers, creatives and engineers building the generative AI platform to enable game creation at the speed of thought. We believe all media creation will be done via generative methods in a few years. We're building that future.
    artificial-intelligence
    developer-tools
    generative-ai
    machine-learning
    gaming
  • Proven Group
    Proven Group (w2018)Active • 40 employees • San Francisco, CA, USA
    Proven is a data powered skincare company that creates personalized skincare products based on more than 47 factors about an individual's skin, genetic background, lifestyle and environment. Our formulations are rooted in the largest beauty database in the world, the proprietary Skin Genome Project, built in-house by Proven's cofounder Amy Yuan, a computational physicist from Stanford. The database has won MIT's AI Technology of the Year award and encompasses more than 20Million consumer datapoints and thousands of scientific articles on skin. Our challenge now is to tell the story of Proven, and share our industry leading personalized skincare products with the world.
    machine-learning
    consumer
    e-commerce
    ai
  • Swayable
    Swayable (w2018)Active • 30 employees • New York, NY, USA
    Swayable partners with the world's leading brands and advocacy groups to change minds, behaviors and attitudes. We are hiring in data science, full stack engineering, data visualization, design, and operations. We welcome unsolicited CVs from anyone, and especially encourage women and people from under-represented groups to talk to us.
    machine-learning
  • 1build
    1build (w2020)Active • 12 employees • Miami, FL, USA
    1build tracks 68 million live construction materials, labor, and equipment costs for every county in the United States. Instantly accessible via our modern API.
    machine-learning
    construction
    b2b
    proptech
    api
  • Hypotenuse AI
    Hypotenuse AI (s2020)Active • 10 employees • Singapore
    Hypotenuse AI turns a few keywords into entire blog articles, stunning pictures, artwork, and any other type of copywriting including product descriptions, social media captions and emails. It takes weeks, or even months, for companies to prepare for campaign launches — we help them get their drafts in seconds.
    generative-ai
    machine-learning
    e-commerce
    ai
  • Simplify
    Simplify (w2021)Active • 5 employees • San Francisco, CA, USA
    Simplify is re-imagining the hiring and job-searching process. We're building tools to democratize the job search, no matter what your background is, where you live or what school you attended. Our first product is Copilot, and we're rapidly expanding on both the candidate and recruiter fronts. We've helped facilitate over 20m+ applications in just the last year, and are doubling down on our vision of building a common app and personal AI agent for your career.
    generative-ai
    machine-learning
    marketplace
    recruiting
  • Quell
    Quell (s2020)Active • 40 employees • London, UK
    Quell is an immersive fitness game where players get fit fighting their way through a fantasy world. Our low-cost wearable uses smart resistance bands to guide you through an exciting, effective combat workout at home. We’re Peloton meets gaming at 1/10th of the price
    hardware
    machine-learning
    sports-tech
    fitness
    gaming
  • Taktile
    Taktile (s2020)Active • 60 employees • Berlin, Germany
    Taktile eliminates guesswork and empowers decision-makers to build and evaluate automated decision flows faster than ever before.
    machine-learning
    enterprise-software
  • OpenAI
    OpenAI (w2016)Active • 500 employees • San Francisco, CA, USA
    OpenAI is a non-profit AI research company, discovering and enacting the path to safe artificial general intelligence.
    artificial-intelligence
    machine-learning
  • Short Story
    Short Story (s2019)Active • 120 employees • San Francisco, CA, USA
    Short Story is a style discovery platform to help petite women find clothes that fit. The average American woman is 5'4" and petite, yet this remains an enormously underserved segment. We’re a team of curators passionate about finding style, quality, and fit for petite women. Our mission is to remove the “ugh” from the shopping equation and support petite women in telling their stories, stylishly and confidently.
    machine-learning
    marketplace
    e-commerce
  • AgileMD
    AgileMD (s2011)Active • 15 employees • San Francisco, CA, USA
    At AgileMD, we are building the most advanced real-time predictive analytics and clinical algorithms platform for hospitals. Our cloud-based engine helps thousands of doctors and nurses around the country make medical decisions, so that every patient receives the highest quality and value of care based on the latest medical knowledge and data.
    machine-learning
    healthcare
  • Directed Edge (s2009)Active • 2 employees • San Francisco, CA, USA
    Directed Edge delivers Amazon-like "People who bought this also bought..." and "We think you'd also like"-style recommendations to other sites, using existing data being collected such as purchase or click histories. Recommendations are served in real-time via a REST API, with language bindings in several programming languages to make integration easy.
    artificial-intelligence
    machine-learning
    recommendation-system
  • Mystic
    Mystic (w2021)Active • 11 employees • London, UK
    Mystic’s platform allows companies to easily and reliably deploy ML models on our serverless cloud or on their own infrastructure without requiring a team of MLOps engineers. With our Python SDK, data-scientists immediately get an endpoint from their own model, or any open-source models. Once uploaded, our platform handles routing, multi-cloud scaling, caching, GPU optimization and other features to provide the ultimate ML inference platform.
    aiops
    developer-tools
    machine-learning
    ai
  • Nimble
    Nimble (s2017)Active • 4 employees
    Nimble uses predictive analytics to give every K-12 student access to excellent teachers. Our smart applicant tracking system (ATS) leverages a predictive model to help school districts identify and hire the best educators for their classrooms.
    education
    machine-learning
    saas
  • Reverie Labs
    Reverie Labs (w2018)Active • 29 employees • Cambridge, MA, USA
    Reverie Labs is engineering next-generation, brain-penetrant cancer therapies.
    ai-powered-drug-discovery
    machine-learning
    biotech
  • Pragmatic Leaders (Ankai Inc)
    Pragmatic Leaders (Ankai Inc) (w2021)Active • 10 employees • Gurugram, Haryana, India
    Pragmatic Leaders runs online training programs in product management for mid-career professionals in India. We are a better, faster, and cost-effective alternative to getting an MBA in specialized tech business roles like product, growth, and marketing
    ai-enhanced-learning
    artificial-intelligence
    machine-learning
    recruiting
  • Chaos Genius
    Chaos Genius (w2020)Active • 10 employees • San Francisco, CA, USA
    Chaos Genius is a DataOps Observability platform for Snowflake. Enable Snowflake Observability to reduce Snowflake costs and optimize query performance.
    cloud-workload-protection
    machine-learning
    analytics
    open-source
    data-engineering
  • HyperGlue
    HyperGlue (w2021)Active • 5 employees • San Francisco Bay Area, CA, USA
    There is more text generated than any one person or team can read. A single product team can not hope to sift through their thousands of feedback responses and determine the signal amongst the noise. Hyperglue enables operators, product managers, and analysts to instantly access machine intelligence on large text datasets without the engineering or headcount overhead required to deploy natural language AI within their business.
    machine-learning
    b2b
    nlp
  • Expent Inc
    Expent Inc (w2021)Active • 2 employees • Fremont, CA, USA
    Expent is a marketplace that accelerates software procurement for teams, while giving organizations control over the entire purchasing process.
    machine-learning
    saas
    b2b
  • Observant
    Observant (w2018)Active • 5 employees • San Francisco, CA, USA
    Observant is an iPhone-based driver monitoring system for commercial fleets. It uses machine learning + iPhone's depth sensors to detect unsafe driver behavior, prevent accidents, and save lives.
    autonomous-trucking
    hard-tech
    machine-learning
    saas
  • LaunchFlow
    LaunchFlow (w2023)Active • 2 employees
    LaunchFlow is the fastest way to build and deploy Python applications on the cloud. Our platform provides developers with the framework, tools, and infrastructure needed to build scalable, more reliable Python applications.
    developer-tools
    machine-learning
    b2b
    data-engineering
    cloud-computing
  • PoplarML
    PoplarML (w2023)Active • 2 employees • San Francisco, CA, USA
    PoplarML lets you deploy any machine learning model to a fleet of GPUs as a ready-to-use and scalable API endpoint with one command.
    aiops
    artificial-intelligence
    machine-learning
    b2b
    api
  • CreatorML
    CreatorML (w2023)Active • 4 employees • New York, NY, USA
    CreatorML uses ML to predict views for YouTube content creators. Our in-house ML predicts which topics, titles, and thumbnails will resonate best with audiences to maximize views and ROI for many of the world's biggest YouTubers.
    machine-learning
    b2b
    analytics
    creator-economy
    ai
  • 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
  • Cosine
    Cosine (w2023)Active • 6 employees • San Francisco, CA, USA
    Cosine understands your codebase better than you do. It supports 50+ coding languages, allowing developers to ask any question about their codebase, get explanations about any feature and get suggestions about how to write new code.
    artificial-intelligence
    developer-tools
    generative-ai
    machine-learning
    nlp
  • Chart
    Chart (w2023)Active • 1 employees • New York, NY, USA
    Chart specializes in communication intelligence using Large Language Models (LLMs). We systematically analyze internal and customer-facing communications, including voice calls, emails, and Slack messages. Our platform is versatile, catering to various industries, but our present focus is on the financial sector, emphasizing compliance monitoring and QA analysis. Beyond analysis, we provide tools to manage alerts, construct communication graphs, and more. All these operations are securely conducted within the client's cloud environment, be it AWS or GCP, with our SaaS platform handling the technical intricacies.
    machine-learning
    finance
    b2b
    compliance
    ai
  • Athina AI
    Athina AI (w2023)Active • 5 employees
    Athina is an evaluation framework and production monitoring platform for your LLM-powered app. Athina is designed to enhance the performance and reliability of AI applications through real-time monitoring, granular analytics, and plug-and-play evaluations. We provide powerful tools (both open-source and closed-source) to assist LLM developers through all stages of the development lifecycle – development, iteration, and production. In just 10 minutes, you can start monitoring and evaluating with Athina, allowing you to focus on developing your AI with the best tools on the market.
    aiops
    artificial-intelligence
    machine-learning
    ai
  • Deepnote
    Deepnote (s2019)Active0
    Data science is as much a scientific and creative process as it is an engineering one. It involves working together, failing, learning and going back to the drawing board. Data scientists are explorers. To make data projects successful, we need tools that are both powerful and easy to use. Tools that help us collaborate and share our work in an engaging way. Tools that make data science fun again. At Deepnote, we’re building a new standard in data tooling — a notebook that brings teams together to explore, analyze and present data from start to finish. We are building tools for explorers. Join us.
    developer-tools
    machine-learning
  • Shiru
    Shiru (s2019)Active • 4 employees • Emeryville, CA, USA
    ai-powered-drug-discovery
    cellular-agriculture
    machine-learning
  • PredictLeads
    PredictLeads (s2019)Active • 12 employees • Ljubljana, Slovenia
    PredictLeads provides structured data on companies. Using our data Sales teams can discover companies in their buy mode, Quant funds know when to perform trades and VCs can predict when a startup will be raising a new round. PredictLeads cuts down their market research time. Our goal is to structure the sea of public information on companies.
    machine-learning
  • Promoted.ai
    Promoted.ai (w2021)Active • 10 employees • San Francisco, CA, USA
    Promoted optimizes top online marketplaces. For example, on Airbnb, we would sort search and promote the best listings at the top to increase revenue. We are building a first-party-everywhere ad network. We are all ex-Facebook and Google ads engineers, and we have built this before together.
    machine-learning
    marketplace
    b2b
    e-commerce
  • Abalone Bio
    Abalone Bio (w2020)Active • 12 employees • Emeryville, CA, USA
    Abalone Bio developed a technology to find antibody drugs that activate and modulate cell surface receptors, the “antennae” on cells that help convert chemical signals into cellular responses, like growth. Antibodies are a growing class of drugs that have tremendous safety and efficacy advantages over small molecules; 7 of the top 10 selling drugs are antibodies, earning an average of $7B in revenue. However, antibodies- especially ones that activate and modulate cell surface receptors- are hard to find. Abalone Bio expands the playing field for antibody therapeutics and enables us to previously access treatments for untreated diseases. We have already discovered a novel antibody that activates a non-opioid receptor that produces analgesia. We are developing this antibody into a treatment for neuropathic pain – a medical condition that currently is treated with drugs like addictive opiates. The same molecule is also a potential treatment for inflammatory and fibrotic diseases, all 1B+ markets.
    machine-learning
    synthetic-biology
    drug-discovery
  • Trident Bioscience
    Trident Bioscience (s2020)Active • 1 employees • Mountain View, CA, USA
    Trident Bioscience builds tools to expedite the discovery and optimization of useful proteins. Our technology first applies predictive models of protein structure and function to generate sets of potentially active protein sequences. We then apply our state-of-the-art sequence optimization algorithm to design gene libraries capable of testing these candidates extremely quickly and affordably. By combining these technologies, we're closing the design-build-test loop of protein optimization and cutting the total cycle time to help bring synthetic proteins to market faster than ever before.
    hard-tech
    machine-learning
  • Slope
    Slope (s2021)Active • 16 employees • San Francisco, CA, USA
    Accept and reconcile B2B payments seamlessly.
    artificial-intelligence
    fintech
    machine-learning
    payments
    fraud-detection
  • Strong Compute
    Strong Compute (w2022)Active • 8 employees • Sydney NSW, Australia
    Strong Compute is building the future of Cloud Computing, priced by performance not consumption. Our software and hardware optimizations speed up neural network development 10x-1000x, file transfer 1000x, instance start time 10x. We're starting with AI and are aimed at the $500B cloud market.
    artificial-intelligence
    machine-learning
    cloud-computing
  • 1stCollab
    1stCollab (w2023)Active • 5 employees • San Francisco, CA, USA
    1stCollab is an AI-powered influencer marketing platform for helping brands optimize performance. We are the first platform that leverages ML to accurately predict a creator's performance and use those predictions to recruit the most relevant, best-performing creators for a brand’s upcoming influencer campaigns. Our founding team collectively spent 30 years at Pinterest building up most of its Discovery systems, so are experts at finding the perfect set of creators for optimizing engagement. Let us know if we can help you run an influencer marketing campaign and see how our brands have reduced their CAC by over 70%!
    machine-learning
    marketplace
    social-media
    marketing
    creator-economy
  • 222
    222 (w2023)Active • 6 employees • Los Angeles, CA, USA
    222 is a full-stack social experiences platform to generate real-life experiences at curated hyperlocal venues where we can reliably predict you will like both the people & place.
    artificial-intelligence
    machine-learning
    marketplace
    consumer
    social
  • FiddleCube
    FiddleCube (w2023)Active • 2 employees • San Francisco, CA, USA
    FiddleCube helps developers fine-tune & deploy LLMs with synthetic data. We use AI to generate private, high-quality datasets for customers who want custom LLMs but don’t have the resources to create annotated training datasets for fine-tuning & reinforcement learning.
    artificial-intelligence
    developer-tools
    generative-ai
    machine-learning
    data-science