Psychiatric Clinical Intelligence

The longitudinal data layer psychiatry has never had.

Physis gives prescribers a continuous, objective picture of their patients between sessions, integrating wearables, daily micro-surveys, and medication adherence into a clinical-grade dashboard.

The problem

Psychiatrists make high-stakes decisions with remarkably little data.

A cardiologist has continuous EKG data. An endocrinologist has labs. But a psychiatrist adjusting antidepressants does so based on a patient's recall of how they felt over the past month, delivered in a 15-minute check-in.

Physis closes that gap. Passive biometric data, adaptive daily surveys, and medication logs feed a clinician view built for the speed of real practice.

59k practicing psychiatrists in the US making medication decisions with minimal longitudinal data

40% of psychiatric patients are non-adherent to their medications, largely invisible to their prescribers

4–6 wk average wait before knowing if a medication change is working, without continuous monitoring

How it works

Three layers of signal. One clinical view.

Designed around the 15-minute check-in, not against it.

Passive biometric capture

Patients sync Apple Watch, Garmin, Oura, Whoop, or Fitbit. Sleep architecture, HRV, resting heart rate, and SpO2 flow into Physis automatically. No manual entry, no compliance burden.

Adaptive daily micro-surveys

PHQ-9 and GAD-7 administered continuously via mobile. If biometrics already tell the story, Physis reduces the survey burden automatically. Patient compliance stays high because the burden stays low.

Clinical-grade prescriber dashboard

Before each session, the psychiatrist sees a synthesized view of trends, anomalies, adherence, and flags. Designed to be absorbed in under 60 seconds.

The platform

A lab report for psychiatric care.

Physis surfaces what matters: trends over time, deviations from baseline, medication adherence patterns, and patient-flagged moments, automatically synthesized before each appointment.

PHQ-9 avg (28d)

11.4

↓ from 15.1 last period

Sleep avg nightly

6h 42m

↓ Below 7h baseline

Resting HRV avg

54 ms

↑ +8ms vs last period

Mood self-report · 28 days

Medication adherence · 14 days

1✓2✓3✓4✗5✓6✓7✓8✓9✓10✗11✓12✓13✓14✓

Patient-flagged events

High anxiety · Day 4 Poor sleep · Days 8–10 Stressful event · Day 10

Why Physis

Built for the realities of psychiatric practice, not around them.

60-second clinical read

Every view is designed around the constraints of a real session. Anomalies are surfaced, not buried. The psychiatrist does not explore data; data comes to them.

Passive-first data collection

Wearable integrations do the heavy lifting. Survey load adapts to what biometrics already tell us. Patient compliance stays high because the burden stays low.

HIPAA-native infrastructure

Built on TimescaleDB with end-to-end encryption, immutable patient identifiers, and configurable data retention policies. Compliance is structural, not bolted on.

The data moat no one else has

Every patient-day is a labeled training example. Four years from now, Physis will have the largest longitudinal psychiatric dataset in existence: the foundation for the AI psychiatrist.

The team

Built by people who understand both the science and the stack.

Isaac Wells

Co-Founder & CTO

CS and Neuroscience at Dartmouth (2027). Software engineer at Handled (YC-backed), building production data infrastructure and agentic workflow systems. Trained crisis counselor. Project Manager, Project Evergreen, Dartmouth's campus-wide AI wellness assistant.

Systems Engineering Neuroscience Crisis Counseling Dartmouth '27

Bryce Alexander

Co-Founder & CEO

Biomedical Engineering and Economics at Dartmouth (2027). Investment Banking Analyst at MTS Health Partners, focused on healthcare M&A. Co-Chair of DartUP, Dartmouth's social entrepreneurship program. Conference Director at NGEN. Men's Club Hockey.

Healthcare M&A Biomedical Engineering Entrepreneurship Dartmouth '27

Early access

We're piloting with a small cohort of practices.

If you're a psychiatrist or practice administrator interested in what continuous longitudinal data could change about your patient care, we want to hear from you.