Machine Learning Startups funded by Y Combinator (YC) 2024

July 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 5,000 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
  • Flock Safety
    Flock Safety (s2017)Active • 1,000 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
  • 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
  • Humanloop
    Humanloop (s2020)Active • 10 employees • London, UK
    We help product and engineering leaders at enterprises to build impactful applications on top of large language models.
    generative-ai
    machine-learning
    saas
    nlp
    ai
  • 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
  • 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
  • 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
  • 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
  • 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 • 10 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
  • PropRise
    PropRise (s2023)Active • 3 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 market trends, 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
  • 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
  • Ryse
    Ryse (w2024)Active • 13 employees • New York, NY, USA
    Ryse is the only marketplace where investors who want to buy leases can trade with real estate operators who want to sell leases.
    fintech
    machine-learning
    marketplace
    b2b
    proptech
  • 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 developer platform for fine-tuned LLMs. It aims to provide best-in-class infrastructure and prebuilt, task-specific base models as building blocks, enabling developers to cost-effectively build and deploy fine-tuned LLMs for their specific use cases, offering an alternative to expensive and slow general-purpose LLMs without compromising on response quality.
    artificial-intelligence
    generative-ai
    machine-learning
    saas
    ai
  • Anarchy Labs
    Anarchy Labs (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.
    artificial-intelligence
    developer-tools
    generative-ai
    machine-learning
    infrastructure
  • 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
  • Continue
    Continue (s2023)Active • 3 employees • San Francisco, CA, USA
    The leading open-source AI code assistant. You can connect any models and any context to build custom autocomplete and chat experiences inside the IDE
    developer-tools
    devsecops
    machine-learning
    open-source
    ai
  • 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
  • K-Scale Labs
    K-Scale Labs (w2024)Active • 4 employees • Palo Alto, CA, USA
    We're building humanoid robots to do most of what you find boring or tedious. We have an open-source design which we are releasing to the public, which is capable of walking, talking and manipulating objects.
    artificial-intelligence
    machine-learning
    robotics
    consumer
  • 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
  • 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 • 10 employees • San Carlos, CA, USA
    Diffuse is building generative AI for protein design. Our mission is to build AI systems that engineer new and useful proteins with unprecedented control and accuracy. Our team has been behind breakthroughs in AI protein design for the past 7 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 • 60 employees • London, UK
    Encord is the leading data development platform for advanced vision and multimodal AI teams. We build tools and infrastructure to help the world's leading AI teams get their models into production faster - with data-centric model testing, human-centric workflow and annotation tools for labeling & RLHF, and data curation and management software. Encord is trusted by pioneering AI teams at Stanford Medicine, Mass General Brigham, Tractable, Viz AI, Iterative Health, the UHN, the Royal Navy, Veo, and many more global companies.
    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
  • Pyq AI
    Pyq AI (w2023)Active • 2 employees • Seattle, WA, USA
    We build automations that can pull information from documents, fill out forms and software, and integrate with your existing systems. For example, insurance brokerages use us to pull information from policies, fill out forms, update accounting software and generate proposals.
    machine-learning
    b2b
    ai
  • Quack AI
    Quack AI (s2023)Active • 1 employees • Paris, France
    Quack AI tackles the slowdown in project delivery often faced by expanding dev teams. We bring development teams into sync, effortlessly aligning code with project expectations. Take the example of the backend team now adopting the syntax of Python 3.11 for asynchronous tasks. Our deep learning model swiftly interprets these updates and embeds them into every developer's keystroke with our VSCode extension, significantly reducing code review iterations and shaping a cohesive & adaptable coding identity.
    developer-tools
    machine-learning
    b2b
    productivity
    open-source
  • 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
  • Trainy
    Trainy (s2023)Active • 2 employees • San Francisco, CA, USA
    Goodbye Slurm, Hello Konduktor. Trainy Konduktor is a software platform for AI teams to schedule workloads with priority, control resource allocation, and improve GPU reliability. With Konduktor, teams submit jobs to a healthy pool of GPUs, assign job priority with a simple user interface, and never worry about hardware faults again.
    developer-tools
    machine-learning
    saas
    open-source
  • 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
  • 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
  • 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
  • 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
  • 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
  • Atmo
    Atmo (w2020)Active • 10 employees • San Francisco, CA, USA
    Atmo is the leading company bringing artificial intelligence to meteorology for governments, militaries, and corporations. Atmo builds state-of-the-art AI weather forecasts that are up to 50% more accurate, 10x more detailed, and run 40,000x faster. Atmo has rapidly become the trusted AI meteorology partner for high-stakes users worldwide, such as the US Department of Defense, top aerospace companies, the Philippines, and the United Nations. Today, Atmo forecasting systems protect vital infrastructure and enhance economic activity for its partners, including disaster response, renewable energy, agriculture, transportation, and national security.
    artificial-intelligence
    machine-learning
    weather
    climate
    ai
  • 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
  • Byterat
    Byterat (w2023)Active • 6 employees • San Francisco, CA, USA
    Byterat is a modern data platform for battery companies, purpose-built to manage, visualize and analyze battery data securely at scale.
    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.
    deep-learning
    developer-tools
    generative-ai
    machine-learning
    ai
  • 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 • 11 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 • 35 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.
    artificial-intelligence
    machine-learning
    data-engineering
  • 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
  • Undermind
    Undermind (s2024)Active • 2 employees • San Francisco, CA, USA
    At Undermind, we're building a search engine that can handle extremely complex questions. It’s geared at experts, like research scientists and doctors, who need to find very specific resources to solve high-stakes problems. We’ve rebuilt search from the ground up to address this. Our new approach employs high-quality LLMs to adaptively explore a database, mimicking how a human researcher carefully discovers information. This approach dramatically outperforms (by 10-50x) traditional keyword search and other modern AI-based retrieval methods. Our first target users are the 50 million researchers searching for scientific literature on PubMed and Google Scholar every month. We’ve launched and have users paying us $200-$1000 per seat per year, from fields like medicine, ML, biotech, finance, and more. Our techniques in the future can port to even broader use cases and databases in law/consulting/finance.
    artificial-intelligence
    machine-learning
    biotech
    search
  • 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.
    artificial-intelligence
    machine-learning
    consumer
    e-commerce
  • 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
  • HomeRoom
    HomeRoom (w2022)Active • 25 employees • San Jose, CA, USA
    Homeroom helps investors provide affordable housing while making a 22% ROI. We do this by sourcing properties, arranging capital, managing construction, vetting tenants and collecting rent by the room. To date, Homeroom has brought on 85 property investors, growing 6X annually, are bringing in 420K in annualized net-revenue How it works: We help investors buy homes in cities that are attractive to young people, but lack affordable housing options. We then renovate and after about 20 days, the home is ready and we find qualified renters by the room. We launched in 2018 in Kansas City with 1 home. We now have 105 homes in 31 cities. In 2021, we grew rental GMV to $1.8M (300% YoY growth). Our average rent across every property is $458, which is about 50% lower than market comps, and our investors see returns up to 50% higher. We are HomeRoom. Johnny is the financial analyst/domain expert. Thomas is a cereal entrepreneur with a PHD in ML, and Mike hacked growth for Airbnb and Facebook.
    machine-learning
    real-estate
    proptech
    nlp
    data-engineering
  • RedBrick AI
    RedBrick AI (w2022)Active • 13 employees • Claymont, DE 19703, USA
    RedBrick AI's mission is to accelerate the adoption of artificial intelligence in radiology by building world-class software infrastructure. Currently, we are focused on helping radiology AI teams prepare high-quality datasets to train their algorithms. Radiology data, such as CT and X-ray scans, is an incredibly important source of truth in healthcare delivery. In fact, over 90% of all healthcare data is medical imagery! However, the global radiology workforce is overburdened. In the UK, for example, only 2% of radiology departments are able to fulfill their reporting requirements, and this trend is reflected worldwide. The acute state of radiology, coupled with the abundance of data, makes the use of AI in radiology a prime candidate. In 2022, $5.6 billion was invested in the development of AI in healthcare! However, a key hindrance to further adoption is the lack of sophisticated tools to build and deploy AI algorithms in clinical environments. This is the problem we’re focused on at RedBrick AI We're a team based out of Bangalore India, and USA. We're backed by leading institutional investors like Y Combinator and Peak XV (formerly Sequoia Capital India).
    aiops
    machine-learning
    healthcare
  • Handoff
    Handoff (w2020)Active • 12 employees • Miami, FL, USA
    Handoff creates instant construction estimates and automates business operations for contractors with AI. Using generative AI technology and access to localized construction costs, Handoff provides remodelers with a fast, accurate, and intuitive way to create construction cost estimates in minutes.
    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
  • 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
  • FINNY AI
    FINNY AI (s2024)Active • 4 employees • New York, NY, USA
    Growth is the number one priority for all Financial Advisors. However, the organic growth process is highly inefficient and full of noise. Advisors often waste hours building prospect lists by aggregating information across horizontal solutions like Linkedin, ZoomInfo, Pitchbook, qualifying these leads, setting up meetings, and spending time on unqualified prospects. Advisors spend an average of 58 hours on business development for every 1 new client converted, and have <1% conversion rates. Due to the time-intensive nature of organic growth, advisors often turn to inorganic avenues for growing, via M&A, despite those being far less capital efficient. At FINNY, we are certain we can do better with AI. With our tool, advisors can: - Identify prospects within their target niche, aggregating thousands of data points per lead - Prioritize prospects based on their predicted likelihood of converting, a score unique to each advisor and prospect pair - Automate the outreach and meeting scheduling with their high priority prospects In short, FINNY is the one-stop shop for advisors when growing their book of business, starting by solving prospecting. FINNY launched paid pilots in May to select RIAs, and our waitlist grew to 30 firms in under one month.
    fintech
    machine-learning
    finance
    sales-enablement
    automation
  • 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
  • Conductor Quantum
    Conductor Quantum (s2024)Active • 2 employees • San Francisco, CA, USA
    Quantum computers will allow humanity to simulate nature at the quantum level, enabling the acceleration of drug discovery and the development of new materials. Currently, quantum engineers spend days, sometimes weeks, manually getting their silicon chips to operational conditions to realize two qubits. A qubit is the information-carrying unit of a quantum computer, analogous to a bit in a classical computer. We need billions of qubits to make a useful quantum computer. Therefore, automation software will be vital to realizing this goal. Conductor Quantum will develop AI software to remove the human from the loop, enable the scaling of silicon quantum technology and build a silicon-based quantum computer.
    artificial-intelligence
    hard-tech
    machine-learning
    quantum-computing
    semiconductors
  • 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
  • Bountiful
    Bountiful (w2017)Active • 4 employees • San Francisco, CA, USA
    We’re on a mission to optimize the agricultural industry. When we started Bountiful in 2015, the grape error rate for predicting production was 30 percent. Why? We found that many farmers in the specialty crops space were still using traditional pencil-and-paper techniques to predict yield. These low-fidelity forecasting methods weren’t giving them a clear enough understanding of their production until it was too late, leading to waste and inefficiency throughout the supply chain. We saw a problem we wanted to solve. Today, Bountiful is using advanced data science to help farmers forecast more accurately, so they can make better decisions. In the last three years, we’ve combined the latest in machine learning with weather, satellite, geographic, and historical data. The result is a user-friendly platform that transforms volumes of complex agricultural information into simple, actionable insights farmers can use to run more economically and environmentally sustainable farms. More recently, we’re working to open the dialogue between buyers and sellers, remove uncertainty, and provide clarity to the supply chain to meet global food demand. Our ultimate goal is to close the agricultural margin of error. Not only will this make individual farms more efficient, profitable, and sustainable, but it will help optimize the global food supply chain. That means healthier people and a healthier planet.
    machine-learning
    marketplace
    analytics
    agriculture
  • 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
  • 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
  • Cartage
    Cartage (s2024)Active • 2 employees • Toronto, ON, Canada
    Cartage is an automation system for freight brokers and 3PLs. We automate routine, repetitive tasks so that teams can focus on more critical work.
    artificial-intelligence
    machine-learning
    workflow-automation
    logistics
  • 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
  • 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
  • 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 • 2 employees • San Francisco, CA, USA
    Chart's Unified Tax Record API provides a direct bridge to tax records from the IRS, state tax agencies, and major tax preparation platforms such as TurboTax and H&R Block.
    artificial-intelligence
    machine-learning
    finance
    b2b
    compliance
  • Athina AI
    Athina AI (w2023)Active • 5 employees
    Athina is an end-to-end platform for product teams building production-grade AI features. 1. Prototype: Dynamic Columns let you run LLM prompts, execute code, make API calls, retrieve data, run transformations, and more (in a spreadsheet UI) 2. Evaluate: Run evaluations within the sheet itself - there are 50+ preset evaluation metrics or you can create your own custom evals (no-code). 3. Experiment: Change your prompt, model, retriever, or chain in just a few clicks. Technical users can run even more experiments programmatically. 4. Compare: Compare any number of datasets side-by-side with a diff view, and run evaluations on all of them simultaneously 5. Observability: Monitor your LLM features in production with continuous evaluations and granular analytics. Athina can be used by non-technical users as well as technical users. This means PMs, QA, Data Scientists, and Engineers can collaborate to build great AI products.
    aiops
    artificial-intelligence
    machine-learning
    ai
  • Slope
    Slope (s2021)Active • 16 employees • San Francisco, CA, USA
    Accept and reconcile B2B payments seamlessly.
    artificial-intelligence
    fintech
    machine-learning
    payments
    fraud-detection
  • Shiru
    Shiru (s2019)Active • 4 employees • Emeryville, CA, USA
    ai-powered-drug-discovery
    cellular-agriculture
    machine-learning
  • PredictLeads
    PredictLeads (s2019)Active • 24 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
  • Delphia
    Delphia (w2018)Active • 23 employees • Toronto, ON, Canada
    Delphia believes data is the key to capital formation and economic empowerment. We build products that incentivize the contribution of proprietary data in order to generate an edge in financial markets. We believe that actively managing people’s data can unlock new forms of wealth creation for individual and institutional investors alike.
    artificial-intelligence
    fintech
    machine-learning
    dao
  • Promoted.ai
    Promoted.ai (w2021)Active • 12 employees • San Francisco, CA, USA
    Promoted.ai unifies search, native ads, and feed ranking for online marketplaces and scaled e-commerce apps to dramatically improve relevance (and revenue) using AI. We are a team of ex-Google, Meta, and Pinterest ads engineers. Our customers are publicly traded and late-stage marketplace companies like Eventbrite, Upwork, and Outschool. Our mission is to connect every buyer and seller.
    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
  • Malloc
    Malloc (s2021)Active • 7 employees • Nicosia, Cyprus
    Malloc aims to help people companies and organisations protect their apps, their devices and their data. The Malloc app available in AppStore and PlayStore helps you stay safe and private online by blocking spyware and online threats. Malloc App Security is an SDK library that other app owners can use to protect their app from hacking attempts.
    machine-learning
    saas
    security
  • 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
  • 222
    222 (w2023)Active • 6 employees • New York, NY, 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.
    machine-learning
    marketplace
    consumer
    social
    ai