What makes PreemptiveAI different from wearables?

PreemptiveAI requires no dedicated wearable, accessory, or appointment. It works on smartphones people already own, eliminating the $300-$600 hardware cost and high consumer drop-off associated with smartwatches and smart rings, while enabling on-demand measurements anywhere.

How does the platform integrate with other systems?

PreemptiveAI offers three integration methods: a camera-native mobile SDK to embed physiological capture into iOS and Android apps, a physiological vector API to access high-dimensional embeddings for LLMs and risk engines, and longitudinal baseline calculations that surface early divergence from personal normal rather than population averages.

What regulatory clearances does PreemptiveAI have?

PreemptiveAI has FDA-cleared core technology, 2 issued U.S. patents with 3 pending, and has been evaluated with Duke Health. The platform is HIPAA compliant and built on 21 CFR Part 11 architecture.

How does PreemptiveAI validate its models?

PreemptiveAI operates an active Medicare-funded clinical deployment through Preemptive Health that continuously generates verified clinical ground truth. Real Medicare patient cohorts use the platform, physician-adjudicated labels compare signals against clinician documentation and lab results, and sustained multi-month adherence exceeds conventional wearables, with this data feeding back to refine model weights.

Business profile · Health tech

PreemptiveAI

Measure physiology in 30 seconds from any smartphone using optical blood-flow signals

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PreemptiveAI turns a 30-second smartphone fingertip scan into longitudinal physiological intelligence by analyzing optical blood-flow signals to understand how

About

Homepage of PreemptiveAI

PreemptiveAI is a physiological foundation platform that captures longitudinal blood-flow intelligence from smartphone cameras. Users place a fingertip over any standard smartphone camera for 30 seconds, and the platform extracts personalized hemodynamics, arterial reflection waves, and microvascular characteristics through a foundation model trained on 12 million paired waveforms.

The platform enables three phases of value: immediate deep personalization from the first scan, continuous current context from on-demand measurements, and over time, an actionable personal baseline that detects subtle departures from normal. It is designed for frictionless integration through a camera-native mobile SDK, a physiological vector API for AI systems, and longitudinal baseline calculations.

PreemptiveAI has 2 issued U.S. patents with 3 pending, is FDA-cleared, and has been evaluated with Duke Health. The company was incubated at the Allen Institute for AI and operates Preemptive Health, an active Medicare-funded clinical deployment that continuously generates verified physiological ground truth through real-world clinical care.

Features at a glance

30-second fingertip scan via smartphone camera
Foundation model trained on 12M+ waveforms
Works across 200+ smartphone camera modules
Personal baseline calculation (You vs. You)
Camera-native mobile SDK for iOS and Android
High-dimensional physiological embeddings via API
Hemodynamics and arterial compliance analysis
Longitudinal baseline divergence detection
FDA-cleared core technology
HIPAA compliant and 21 CFR Part 11 architecture

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PreemptiveAI at a glance

PreemptiveAI

Category: Health tech
Based in: Seattle, United States
Website: preemptiveai.com
Founders: Jamien McCullum (Founder & Chief Executive Officer)
Matt Whitehill, PhD (Founder & Chief Technology Officer)
Votes: 0

PreemptiveAI metrics

Info on preemptiveai.com: Ahrefs Domain Rating and Majestic link info, each with the change since the last update.
Metric	Value
Domain Rating	17 −1 (down) since last check
Trust Flow	6 no change since last check
Citation Flow	25 no change since last check
Referring domains	64 no change since last check
External backlinks	580 no change since last check

Info: Ahrefs Domain Rating as of 6 Nov 2026, last changed 5 Nov 2026. Info: top topic is News/Magazines and E-zines (6). Info: Majestic as of 26 Oct 2026, last changed 26 Oct 2026. Link info from Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.

PreemptiveAI domain at a glance

Show it at a glance

Source: the public RDAP record, checked 4 Nov 2026, 20:31 UTC.
Domain age	2 years
Registered	3 Jan 2024
Expires	3 Jan 2028
Registrar	GoDaddy.com, LLC
DNSSEC	Not signed

Complete domain info for preemptiveai.com

PreemptiveAI launch receipt at a glance

The record for PreemptiveAI after its launch on Business Listing Info (26 October 2026), from the readings we keep.
Measure	At launch, then latest
Domain Rating (Ahrefs)	9 to 17 +8 (up) since launch 26 Oct 2026, then 6 Nov 2026
Trust Flow (Majestic)	6 first measured 26 Oct 2026
Referring domains (Majestic)	64 first measured 26 Oct 2026

Day 10 since launch. Next receipt: day 30, 25 Nov 2026. Many things move these figures, so a change is not proof of cause. Only stored readings are shown.

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Quick answers

How does the 30-second scan work?: A user places a fingertip over any standard smartphone camera for 30 seconds. The acquired blood flow signal extracts personalized hemodynamics, arterial reflection waves, and microvascular characteristics through a foundation model trained on 12 million paired waveforms, which translates the raw optical time-series into high-dimensional embeddings.
What makes PreemptiveAI different from wearables?: PreemptiveAI requires no dedicated wearable, accessory, or appointment. It works on smartphones people already own, eliminating the $300-$600 hardware cost and high consumer drop-off associated with smartwatches and smart rings, while enabling on-demand measurements anywhere.
How does the platform integrate with other systems?: PreemptiveAI offers three integration methods: a camera-native mobile SDK to embed physiological capture into iOS and Android apps, a physiological vector API to access high-dimensional embeddings for LLMs and risk engines, and longitudinal baseline calculations that surface early divergence from personal normal rather than population averages.
What regulatory clearances does PreemptiveAI have?: PreemptiveAI has FDA-cleared core technology, 2 issued U.S. patents with 3 pending, and has been evaluated with Duke Health. The platform is HIPAA compliant and built on 21 CFR Part 11 architecture.
How does PreemptiveAI validate its models?: PreemptiveAI operates an active Medicare-funded clinical deployment through Preemptive Health that continuously generates verified clinical ground truth. Real Medicare patient cohorts use the platform, physician-adjudicated labels compare signals against clinician documentation and lab results, and sustained multi-month adherence exceeds conventional wearables, with this data feeding back to refine model weights.

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