Lumius is a Durham, North Carolina medical device company building a fast, affordable, real-time 3D ultrasound system - a '3D camera for the body.' Founded by three Duke PhDs, it replaces the flat 2D slices clinicians must mentally stitch into anatomy with a live volumetric view and AI that flags vessels, nerves, and muscle. The company starts with vascular access and central line placement, where roughly half of first attempts by newer clinicians fail, and plans to expand into clot detection, nerve blocks, tumor diagnosis, and biopsy guidance.
Evident Vascular is a San Jose-based medical device startup building an AI-powered intravascular ultrasound (IVUS) platform designed for peripheral vascular interventions. Founded in 2023 and led by CEO Howard Rosen, the company aims to fix the long-standing trade-off between image quality and clinical workflow that has limited IVUS adoption, targeting FDA 510(k) clearance ahead of a U.S. launch. It raised a $35M Series A from Vensana Capital and closed an undisclosed Series B in 2025.
Howard Rosen is the CEO and co-founder of Evident Vascular, a San Jose medtech startup building an AI-powered intravascular ultrasound (IVUS) platform for peripheral and coronary interventions. A 30-year cardiovascular device veteran, he spent 21 years at Boston Scientific before helping guide Intact Vascular and its spinout Vesper Medical through acquisitions by Philips. He launched Evident out of stealth in 2023 with a $35 million Series A led by Vensana Capital and closed a Series B in 2025. He is known for a disciplined 'go slow to go fast' company-building philosophy.
Diffraqtion is a Somerville, Massachusetts deeptech company building what it calls the first quantum camera for satellites and telescopes. Spun out of research at MIT and the University of Maryland, its photon-counting sensors paired with AI aim to extract far more information from incoming light than conventional CMOS or CCD sensors, letting smaller, cheaper optics see beyond the diffraction limit. The company targets space domain awareness, defense, and Earth observation, and raised $4.2M in pre-seed funding in January 2026 alongside a DARPA SBIR contract.
iSono Health builds ATUSA, an FDA-cleared wearable 3D ultrasound platform that scans both breasts in about two minutes without a specialized sonographer. The South San Francisco startup uses AI to make breast imaging portable, reproducible, and accessible at the point of care.
AngioWave Imaging is a Massachusetts-based medical AI company building post-processing software that sharpens fluoroscopic angiograms in the cardiac catheterization lab. Its FDA 510(k)-cleared AngioWaveNet uses a spatiotemporal, convolutional deep neural network (branded STEP) to reveal blood-vessel detail that is hard to see on the raw angiogram, helping interventional cardiologists diagnose and treat coronary artery disease. The software runs on top of any existing fluoroscopy system, requiring no new hardware.
Michael Deng is the founder, Chairman, President, and CEO of ArcSoft, a Fremont, California-based computer vision and AI imaging company he started in 1994 with $150,000 from family and friends. Over three decades, he built ArcSoft into a global leader powering the cameras of Samsung, Huawei, Xiaomi, Sony, and dozens more, then pivoted to automotive AI vision - driver monitoring, ADAS, and in-cabin sensing. When ArcSoft listed on Shanghai's STAR Market in 2021, Deng became a billionaire with a stake valued at roughly $1.1 billion. Today he's steering the company into AI glasses, XR headsets, robotics, and AIGC creative tools.
Neda Razavi is the CEO and Chairwoman of the Board at iSono Health, a South San Francisco medtech company building the world's first wearable, automated, portable FDA-cleared 3D breast ultrasound system. With 25 years of experience launching 65 products across six global platforms and generating over $9 billion in cumulative revenue at companies including Abbott, Roche, Medtronic, and Natera, Razavi joined iSono Health as an early investor and advisor before taking the helm in November 2023 to lead commercialization of the ATUSA system — a 2-minute, hands-free breast imaging device that pairs robotics, AI, and cloud analytics to make early breast cancer detection accessible to OB/GYNs and primary care providers without requiring a trained sonographer.