PreemptiveAI came out of stealth mode this week, announcing $6.4 million in seed funding that will help the Seattle startup build what it describes as the “most predictive large medical model.”
The company, incubated at the AI2 Incubator in Seattle, takes biomedical signals from smartphones and wearable devices to create AI software aimed at predicting health outcomes.
The startup aims to answer questions about the likelihood of a heart attack or stroke, and response to changes in medication dosage, for example. Potential customers include providers, drug developers, and insurance companies.
PreemptiveAI has a strategic partnership with Duke University to monitor patient data remotely and help identify health risks.
GeekWire reported on the company, then known as Measure Labs, in 2022.
PreemptiveAI is led by CEO Jamien McCullum, previously vice president of business development at Seattle-based remote patient monitoring startup Optimize.health.
Other co-founders include Matt Whitehill, a University of Washington computer science grad, and Leon Gatys, a former machine learning researcher at Apple who specialized in the company’s health-related technologies.
Whitehill studied deep learning algorithms for health sensing as part of the UW’s Ubiquitous Computing (UbiComp) research lab, led UW professor and health tech pioneer Shwetak Patel, who has invented several smartphone-based health applications.
PreemptiveAI investors include the AI2 Incubator; Meridian Street Capital; Inspired Capital; Precursor Ventures; and MultiCare Capital Partners.
There are a flurry of startups and big companies alike aiming to take advantage of the latest AI technologies — including generative AI — to build healthcare-related products. Last month Ambience Healthcare raised $70 million for its AI-powered healthcare operating system, and Abridge raised $150 million for its AI clinical documentation tools.
Seattle-area startup Medsense Health recently raised $500,000 for its tech aimed at helping patients and providers with remote medication monitoring.
The White House in December announced commitments from private sector firms to advance AI for the health and wellbeing of Americans.
Funding to digital health startups fell to $10.7 billion last year amid the broader venture capital slowdown.
