Compare · Outliyr vs Heads Up Health

Outliyr vs Heads Up Health.

Self-experimentation OS for individuals, or a clinical-intelligence aggregator for practitioners? They solve different problems. Here's which fits which use case.

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Quick answer

Pick Outliyr if you experiment on yourself. Pick Heads Up Health if you run a clinic.

Heads Up Health positions itself as "AI-powered clinical intelligence for modern healthcare," with practitioner packages by client count (Basic 25, Team 50, Clinic 100, Enterprise 1000+). It's a workspace for clinicians aggregating labs, wearables, devices, and EHR data across many patients. Outliyr is the opposite: one person, deep, running the actual experiments that tell them which interventions work.

Where Heads Up Health wins

For clinicians and health pros, Heads Up is the right tool.

If your job is helping multiple clients optimize their health, you need a multi-client dashboard that pulls from EHRs, labs, and wearables in one place. That's exactly what Heads Up Health does. Their professional packages scale by client count, they integrate with practitioner workflows, and their AI clinical intelligence is built for someone reading data on behalf of others. You can confidently recommend Heads Up Health to a functional medicine practitioner, a longevity clinic, or any pro doing data-driven coaching.

As of mid-2026, Heads Up positions itself entirely for clinics and practitioners: practitioner packages by client count, demo-led sales, and no consumer self-serve path on their site. If you saw an individual plan in the past, it is no longer the front door. The platform, UI, and workflow investment all serve the clinician use case.

Where Outliyr is structurally different

Outliyr runs the experiment, it doesn't just aggregate the data.

The architectural difference is the experiment engine. Outliyr was built around the verb "experiment": baseline windows, target metrics, multi-metric watch, structured N-of-1 protocols. Heads Up displays your data; Outliyr asks "is magnesium glycinate actually improving your sleep efficiency, or is the perceived benefit noise?" and then shows whether the signal holds up in your own data.

Two practical consequences:

  • Personal Scientist surfaces signal automatically. Outliyr's AI layer reads your data and tells you what's actually moving the needle on sleep, energy, and recovery. You don't need to be the data analyst.
  • Stack + journal + protocol context is first-class. Outliyr tracks every supplement, peptide, and protocol cycle with cost and outcome correlation. Heads Up captures clinical data; Outliyr captures the inputs only the user knows.

Side-by-side

FeatureOutliyrHeads Up Health
Primary use caseIndividual self-experimentationClinician multi-client aggregation
Pricing entryFree, Pro $15/mo, Max $147/moPractitioner packages, demo-led (no consumer self-serve)
N-of-1 experiment engineYes, baseline + target + watch metricsNo (data aggregation focus)
Personal AI scientistYes, surfaces what's actually movingAI clinical intelligence (clinician-facing)
Stack + protocol trackingFirst-class, cost-trackedLimited, clinical data focus
API + MCP accessComing Soon, Max tier (Claude Desktop, Cursor, ChatGPT)Enterprise integrations

How they work together

A clinician can recommend Outliyr to clients running between visits.

Heads Up Health and Outliyr are not strict substitutes. A functional medicine clinician using Heads Up to run their practice can confidently send their high-engagement clients to Outliyr to run their own protocols and bring real experiment data back to the next visit. Outliyr is the patient-side instrument. Heads Up is the practice-side workspace.

If you're an individual deciding for yourself, the question is simpler: do you want a clinical-grade aggregator, or do you want the tool that actually runs the experiment? Most high performers we built Outliyr for found themselves bouncing between five separate apps trying to answer one question. Outliyr collapses those into one workflow with experiments at the center.