ABOUT AUTOMATE MEDICAL

One AI. One platform. Four audiences.

Automate Medical is a continuous health intelligence layer — from consumer wearables to clinic dashboards to research cohorts to pharma data feeds. Built on the principle that every audience of modern healthcare should see the same data, the same model output, and the same trust posture, just through a different lens.

The story

We started with a question.

What if every patient could have a continuous health companion — one that knew their vitals, their history, their context, and could explain any of it in plain language? And what if the same intelligence could flow through to the provider, the researcher, and the pharma team on the same trust posture, with the same audit trail?

That question became Automate Medical. The platform is built on the principle that the patient, the provider, the researcher, and the pharma team should never have to translate between four different "AI" systems. They should see the same continuous data, the same model output, and the same trust posture. Just through a different lens.

The Automate Medical platform

Continuous care, not just continuous data.

One AI. One platform. One trust posture. Four audiences — patients, providers, researchers, and pharma — all seeing the same continuous data, the same model output, and the same audit trail. Built so every audience gets the surface they need on the same foundation.

89–94%

Diagnostic accuracy on held-out clinical cohorts (published methodology)

99.2%

Anomaly detection rate, with 24h average early-warning lead time

96%

CSAT across 55M+ conversations supported by the conversational AI

What we believe

From reactive to predictive to preventive.

Our core posture: inclusive, accessible, evidence-based, and patient-empowering. We build for the patient who doesn't want to be a patient.

Our mission

A world where no patient is caught off-guard by their own health — where every heartbeat, every glucose reading, every ECG waveform is part of a continuous, intelligent conversation between the person, their care team, and the science trying to keep them well.

Our posture

Evidence-led, calm, helpful, never alarmist. Technology in service of the person. The opposite of "disruptive healthcare." Every number we publish has a methodology, a denominator, and a date.

Our promise

Your data stays yours. Encrypted at rest, encrypted in transit, never sold, never used to train foundation models. Every inference is logged. Every access is auditable. Every BAA is on file.

Leadership

The team building the platform.

Clinicians, engineers, security leaders, and AI researchers with decades of combined experience across academic medical centers, integrated delivery networks, and life-sciences informatics.

Founder & CEO

Vision & strategy

20+ years building AI-driven digital health, SEO, and platform businesses. Built the original Automate Medical landing page in 2024 with the animated heart monitor that became the visual signature of the company.

Chief Medical Officer

Clinical evidence & validation

Practicing clinician with 20+ years in academic and integrated-delivery settings. Owns the methodology behind the Clinical Evidence page and chairs the model review board.

VP, Engineering

Platform & integrations

Built the FHIR-native data layer and the EHR-native integration layer that powers Automate Care, Research, and Trials on a single trust posture.

Head of Security & Compliance

Trust posture

Owns HIPAA, BAA program, SOC 2 Type II, and the immutable audit log. Previously security leadership at a multi-state health system.

FROM THE FIELD

What our partners say

From providers and researchers to pharma teams and digital health leaders.

"Automate Care cut our time-to-decision on deteriorating patients by 38% in the first quarter. The audit log on every inference is the part our compliance team raves about."

Dr. Sarah Lin, MD

Chief Medical Information Officer, Regional Health System

"We built a 1,200-patient oncology cohort in an afternoon. The RWE export was submission-ready — our biostats team didn't have to reformat a thing."

Dr. Marcus Webb, PhD

Principal Investigator, Academic Medical Center

"Automate Trials surfaced an enrollment risk on a Phase II site three weeks before our internal ops team caught it. That's the kind of signal that compresses a timeline."

Priya Ramaswamy

Director, R&D Informatics, Mid-cap Pharma

We're hiring across the stack.

Join a small team building the AI platform that turns continuous data into continuous care.
Engineering, clinical, security, design.

See open roles