Seattle Startup Raises $6.4M for AI Medical Model

Published 6 months ago

Seattle-based startup, PreemptiveAI, has secured $6.4 million in seed funding for the development of an artificial intelligence (AI) medical model. The model will utilize biomedical signals from smartphones and wearable devices to predict health outcomes.

PreemptiveAI’s Predictive Medical Model

PreemptiveAI’s model aims to provide answers to health-related queries such as the likelihood of a heart attack or stroke. It could also be used to monitor the response to changes in medication dosage. The startup’s potential customers include healthcare providers, drug developers, and insurance companies.

The company is incubated at the AI2 Incubator in Seattle. It also has a strategic partnership with Duke University to remotely monitor patient data and identify health risks.

Company Leadership

PreemptiveAI’s leadership team includes CEO Jamien McCullum, former vice president of business development at Optimize.health, a Seattle-based remote patient monitoring startup. Matt Whitehill, a University of Washington computer science grad, and Leon Gatys, a former Apple machine learning researcher, are also co-founders of the company.

Whitehill’s studies involved deep learning algorithms for health sensing at the UW’s Ubiquitous Computing (UbiComp) research lab. Gatys previously worked on health-related technologies during his time at Apple.

Investment in AI Health Solutions

Investors in PreemptiveAI include AI2 Incubator, Meridian Street Capital, Inspired Capital, Precursor Ventures, and MultiCare Capital Partners. The startup’s funding is part of an increased interest in AI healthcare solutions.

Other companies have also recently secured funding for AI-powered healthcare systems. Ambience Healthcare raised $70 million and Abridge secured $150 million for its AI clinical documentation tools.

Investment in digital health startups reached $10.7 billion last year, despite a slowdown in the broader venture capital market. The White House announced in December that commitments from private sector firms to advance AI for health and wellbeing have increased.