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410 search results found
  • Stable Auto (also called Diatom Digital, Inc.)

    San Francisco, CA
    Energy
    Stable was created by former MIT researchers Rohan Puri and Jamie Schiel to accelerate investments in EV infrastructure by making them predictable and effective, paving the way for EV adoption in every corner of the globe. They built a straightforward enterprise software platform powered by... More
    Keywords:
    EV Charging, machine learning, AI, electric vehicles
    Stable Auto
  • CATALOG

    Boston, MA
    Computer
    The idea of storing information using DNA has been around for a while. It’s just that the cost of DNA synthesis has been a bottle neck. What CATALOG is building can be thought of as a printing press with movable typefaces. Instead of having to synthesize billions of different molecules, we are... More
    CATALOG logo
  • Kebotix-Background.jpg
    May 17, 2022 | Startup Exchange

    Valqua Partners with Kebotix to Transform Materials Innovation

  • Past Deadline: Sep 8, 2025

    Epoch Foundation's Startup Global Program (SGP) is now open

    other

    Epoch Garage + is accepting applications for its Fall 2025 batch. Startups aiming to work with the Taiwanese and Asian markets, and ranging from Seed to Series B, are encourage to apply. Sectors include: AI & Data Analysis, IoT & Smart Devices, Digital Health, CarTech, 5G Technology, Robotics, Smart Energy, E-Mobility. Apply by September 8, 2025, using the link provided in the description. 

  • Wed, April 10, 2024 | Conference

    2024 MIT Health Science Technology Conference - Startup Exchange Lightning Talks

    Boston Marriott Cambridge

    The 2024 MIT Health Science Technology Conference will highlight broad and transformative trends in biology and healthcare, including early-stage discovery, immune cell responses, diagnostics, clinical capabilities, process development, rapid and continuous manufacturing, robotics and automation, and sustainability, all enhanced by artificial intelligence and machine learning technologies. Leading MIT researchers and MIT-connected startups will showcase these advances and discuss their implications for improving human health.

  • Legit_Osman

    Legit

    September 18, 2018 | Startup Exchange Video | Duration: 16:24

    Matthew Osman, Legit

  • Past Deadline: Apr 13, 2025

    OPmobility is looking for AI powered solutions

    partnership

    OPmobility to explore with select startups the opportunity for joint development, proof of concept or pilot then commercial usage. 

  • Past Deadline: Jan 7, 2021

    Last chance! Startup Speakers for MIT Wuxi (virtual) Symposium 1/27

    speaker

    MIT Startup Exchange is looking for 8-12 startups (in IoT, advanced manufacturing, energy, materials, life science & medical devices) to speak at MIT ILP's annual Wuxi Symposium, held virtually on Zoom evening of Wed. Jan. 27th (Jan. 28th Beijing time).

  • Applications-of-AI
    Thu, April 28, 2022 | Conference

    Application of AI to Manufacturing Sustainability - Startup Exchange Lightning Talks

    The chemical industry is increasingly leveraging artificial Intelligence in their quest for new synthetic routes and chemical structures used in a wide variety of applications including: building materials, packaging, agrochemicals, pharmaceuticals, and consumer products.  While past efforts focused on optimizing time and cost of producing materials, growing environmental concerns, and new legislation lead manufacturers to address the environmental impact and sustainability of their products. In this webinar we present research on, and application of, computer-assisted technologies to assist researchers and corporate R&D scientists and engineers in identifying and leveraging environmentally friendly chemistry and materials.

  • Health Forum hero
    Thu, September 26, 2024 | Conference

    2024 MIT Health Science Forum - Startup Exchange Lightning Talks

    MIT ILP Industry Meeting Center

    The 2024 MIT Health Science Technology Conference will highlight broad and transformative trends in biology and healthcare, including early-stage discovery, immune cell responses, diagnostics, clinical capabilities, process development, rapid and continuous manufacturing, robotics and automation, and sustainability, all enhanced by artificial intelligence and machine learning technologies. Leading MIT researchers and MIT-connected startups will showcase these advances and discuss their implications for improving human health.

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