PreemptiveAI raises $6.4 million

PreemptiveAI, a startup analyzing data from smartphones and wearables to predict health outcomes, has come out of stealth with $6.4 million in funding.

Based in Seattle, WA, the startup is unveiling a “revolutionary” foundation model, a large-scale machine learning model trained on a broad data set, aimed at transforming health prediction and monitoring. The model leverages advanced signal processing to interpret biomedical signals from smartphones and wearable devices, offering “unprecedented insights into human physiology.”

PreemptiveAI is led by CEO Jamien McCullum, previously VP of business development at 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.

PreemptiveAI is supported by the Paul Allen AI Institute and investors Inspired Capital, Meridian Street Capital, and Precursor Ventures. The startup says it has a strategic partnership with Duke University to enhance the model’s predictive capabilities, particularly in predicting hospital readmissions and identifying rising health risks.

“PreemptiveAI represents a monumental leap forward in our pursuit of transformative healthcare. Their technology is the catalyst we’ve needed to shift paradigms, providing a clear route to enhance patient care, improve outcomes, and drive significant cost savings. PreemptiveAI is building the foundation for a new era in medical excellence, and I’m proud to collaborate towards that vision.”– Dr. Lana Wahid of Duke University.