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  • Arundo Analytics, Inc.

    Houston, TX
    Software
    Founded in 2015, Arundo Analytics’ proprietary technology for asset-intensive industries uses big data and machine learning techniques to analyze data from your assets in order to optimize operations and to give you insights on events before they happen.

    The approach is unique. We enable our... More
    Arundo logo
  • Kebotix, Inc.

    Cambridge, MA
    Software
    Kebotix uses artificial intelligence and robotics towards the discovery, synthesis, and formulation of advanced materials and specialty chemicals.
    Kebotix logo
  • Jan Schnorr, CEO, C2Sense

    C2Sense

    July 16, 2017 | Startup Exchange Video | Duration: 21:2

    Jan Schnorr, CEO, C2Sense

  • Gaathon-DUST
    DUST Identity logo
    July 24, 2019 | Startup Feature

    DUST Identity

  • Tue, March 11, 2025 | Learning sessions

    START.nano Info Session – March 11th

    MIT.nano

    Early-stage startups are invited to MIT.nano to learn more about the START.nano program and explore how its state-of-the-art laboratories can support their growth.

  • August 14, 2025 | Startup Exchange

    Cyber Strong: The MIT Startups Making Data Defense a Competitive Advantage

  • AI Driven Bloodless Blood Tests: GPx

    January 24, 2025 | Startup Exchange Video | Duration: 7:47

    AI Driven Bloodless Blood Tests
    Sean (Shunsuke) Matsuoka, Co-Founder & COO, GPx
    GPx: https://gpx.ai/

    In an aging society, the number of heart failure patients is increasing, making the prevention of readmissions and reduction of medical costs critical issues. Remote monitoring using invasive implantable devices has proven effective in reducing heart failure readmissions, but its use remains limited.

    To address this, GPx has developed an algorithm that non-invasively predicts signs of heart failure exacerbation. This algorithm was created using clinical trial data from monitoring 245 heart failure patients over 6 months to a year at eight facilities, including the Mayo Clinic in the U.S. The algorithm links digital 
    biomarker data with vital blood tests (NT-proBNP and creatinine) to achieve high-precision prediction and early medical intervention.

    Additionally, with a grant of 1.2 billion yen provided through AMED, we are collaborating with the National Cerebral and Cardiovascular Center (Dr. Chisato Izumi) to conduct a clinical trial involving 400 patients starting April 2025. The trial will be conducted at the National Cerebral and Cardiovascular Center, Kyoto University, Kobe University, and Kochi University.

    Furthermore, at this year's MIT Japan Conference, we will unveil a groundbreaking point-of-care (POC) potassium testing device for the first time. At the conference, we aim to explore the feasibility of applying our technology to other conditions (such as kidney failure, pulmonary arterial hypertension, and cardio-oncology) and to assess the potential for providing algorithm-based services for heart failure patients within Japan.

  • AI Forum hero
    Wed, April 15, 2026 | Conference

    2026 MIT Enterprise AI Forum - Startup Exchange Lightning Talks

    MIT Industry Meeting Center (E90)

    The 2026 MIT Enterprise AI Forum will spotlight cutting‑edge Enterprise AI strategies, practical frameworks, and breakthrough applications across mission‑critical domains such as real-time digital twins, automated defect detection, and intelligent product lifecycle management.

  • Past Deadline: Oct 23, 2024

    BT is looking for groundbreaking solutions to feature in their showcases

    other

    BT is looking for solutions across fintech, defense and future networks.

  • 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

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