Pioneering the foundation layer for continuous human physiology.
PreemptiveAI is an interdisciplinary team of biomedical AI scientists, software engineers, and clinicians translating ubiquitous optical sensors into deep, longitudinal physiological intelligence.
"To make deep human physiology accessible anywhere, enabling every care model, clinical trial, and AI system to understand how the body is changing in real time."
Pioneering biomedical AI & continuous physiological sensing.
Founded by biomedical AI scientists, optical engineers, and physician operators from the University of Washington, Apple Health AI, and digital health venture ecosystems.
Jamien McCullum
Founder & Chief Executive OfficerOptimize HealthDigital health founder with deep experience in AI-driven healthcare and go-to-market execution. Former VP of Business Development at Optimize Health, helping scale a leading Remote Patient Monitoring platform. Previously built and exited the first HIPAA-secured SMS platform for physician groups. Stanford graduate.
Matt Whitehill, PhD
Founder & Chief Technology OfficerUniversity of WashingtonApplied AI researcher and technologist specializing in sensing, signal processing, and edge computing. PhD in Computer Science from the University of Washington, with prior research at UW and Microsoft Research focused on translating everyday-device signals into predictive health insights.
Jorge Sanchez, MD
Medical DirectorCarbon Health / AlertivePhysician entrepreneur and digital health operator. Former Chief Medical Officer and co-founder of Alertive Healthcare, scaling to 10,000+ patients (exit 2022), then Medical Director at Carbon Health RPM. Deep expertise in population health, remote patient monitoring, and AI-enabled remote care.
Guided by leaders across machine learning, cardiology, & health policy.
Our advisory board brings decades of foundational leadership from Google AI Health, Stanford Medicine, Samsung, the Allen Institute for AI, and FDA regulatory affairs.
Leon Gatys, PhD
Co-Founder & AdvisorApple Health AIFounding member of Apple's Health AI Team. Machine Learning, Computational Neuroscience PhD, Invented Neural Style Transfer.
David Maron, MD
Medical AdvisorStanford MedicineDirector of Preventative Cardiology at Stanford. Board-certified in internal medicine, cardiovascular disease, and clinical lipidology.
Shwetak Patel, PhD
AdvisorGoogle • Univ. of WashingtonHead of A.I. health at Google, expert in on-device deep learning (MacArthur Genius Award), and Principal Investigator Ubiquitous Comp Lab.
Subbu Venkatraman, PhD
AdvisorSamsungHead of Digital Health Research at Samsung, former CTO of Eko Health, and former Director of Engineering at Fitbit, Qualcomm.
Meredith Matthews, MD
Medical AdvisorBlue Shield of CaliforniaChief Medical Officer of Blue Shield of California (retired).
Oren Etzioni, PhD
AdvisorAllen Institute for AI • MadronaFormer CEO of the Paul Allen Institute for AI, Madrona Venture Partner, Technical Director at AI2 Incubator.
Incubated at Ai2 with foundational intellectual property.
Preemptive was incubated at the world-renowned Allen Institute for AI (Ai2), combining world-class machine learning research with deep proprietary optical and biomedical patents.
Allen Institute for AI (Ai2)
Founded and incubated within the Allen Institute for AI's incubator program in Seattle, WA. Supported by pioneering AI researchers advancing computer vision and deep representation learning for scientific discovery.
2 Issued U.S. Patents
Comprehensive proprietary patent portfolio covering smartphone-based optical signal extraction, signal quality assessment, and AI-derived health prediction from PPG.
Clinical collaboration & trial partners.
Duke Health
Clinical study researching hospital readmissions pairing pulse waveforms with labs and EHR outcomes.
Preemptive Health
Real-world clinical use evaluating patient health and early escalation triggers for Medicare populations.
Generating active clinical ground truth through Preemptive Health
Unlike static benchmark datasets, Preemptive operates an active, Medicare-funded clinical deployment. This real-world clinical delivery engine continuously generates verified physiological ground truth, patient adherence longitudinal data, and physician-adjudicated clinical labels to validate and refine our foundation models in daily clinical care.
Optical Sensing
Patient captures rich 30-second fingertip photometry using everyday smartphone hardware with zero equipment friction.
Foundation Model Inference
Deep self-supervised models detect longitudinal baseline divergences, microvascular shifts, and acute trajectory anomalies.
Clinical Adjudication
Dedicated Medicare care-coordination nurses review patient trends, perform structured outreach, and deliver timely clinical care.
Ground-Truth Outcome
Verified clinical outcomes, lab results, and physician notes directly feed back to refine model weights and continuous accuracy.
Real Medicare Patient Cohorts
Deployed in real-world longitudinal care programs covering high-risk chronic populations across cardiovascular, metabolic, and pulmonary conditions.
Physician-Adjudicated Ground Truth
Model signals are systematically evaluated against clinician encounter documentation, laboratory tests, and longitudinal disease progression records.
Sustained Multi-Month Adherence
Because patients use the phones they already own, adherence rates dramatically exceed conventional bulky wearables or complex home-monitoring peripherals.
The Sensing & Modeling Engine
Builds the core optical signal extraction algorithms, 200+ smartphone sensor normalization pipelines, self-supervised physiological foundation models, and secure enterprise API/SDK integrations for AI platforms, pharma, virtual care, and longevity partners.
The Clinical Care & Learning Engine
The clinical care delivery arm of Preemptive, delivering human-stewarded continuous baseline monitoring and Medicare-funded clinical interventions that continuously generate verified clinical ground truth and physician-validated outcome data.
Connect with PreemptiveAI
For institutional research collaborations, enterprise platform partnerships, or clinical inquiries.