Raw wearable data doesn't retain users. A score that tells them something actionable does. We design and implement custom health scoring layers: built on open algorithms, tuned for your user population, delivered on your infrastructure.

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We design scoring algorithms based on your user population: their activity profiles, health goals, and data sources. Then we implement and deliver them on your infrastructure.
Not just hours slept. Quality based on HRV, sleep stages, and resting heart rate - weighted against the user's individual baseline, not population averages. Tells users whether last night actually restored them.
Overnight recovery measured against the user's own baseline. Based on HRV trend, resting HR, and recent strain accumulation. Tells users whether today is a full-effort or rest day before they make the wrong call.
Cumulative cardiovascular load across training and daily activity. Calibrated to individual capacity so a hard day for one user isn't the same as a hard day for another. Tracks whether load is building sustainably or spiking toward injury.
How well the body adapts to accumulated stress over time. Combines sleep quality, recovery trend, and HRV baseline to give users a longer-horizon view of their health trajectory.
A single daily signal that tells users whether today is a day to push or a day to recover. Combines sleep quality, overnight recovery, and accumulated strain into one actionable number.
Your product may need something we haven't listed. Readiness score for clinical populations. Metabolic load for weight management platforms. Cognitive recovery for performance products. We scope it in discovery.

Open Wearables is an open-source wearable data platform we built and maintain. The health scoring algorithms inside it were designed by our in-house health scientist and implemented by our engineering team. Not licensed from a third party. Not a black box. When you work with us on custom scores, you work with the team that wrote the original algorithms.
A number that changes daily and explains why creates a habit loop. Users return to see if they improved, recovered, or need rest. That's retention built into the product, not bolted on.
No third-party scoring API. No user data leaving your environment. Self-hosted means full data sovereignty: essential for HIPAA-eligible products and enterprise health platforms.
Every algorithm is open and auditable. Every threshold is documented and explainable. When a user asks why their recovery score dropped, you can answer. When a compliance team asks how scores are calculated, you have the methodology.
Anna Zych, PhD, our in-house health scientist, leads algorithm design. Scoring methodology grounded in published research, validated against real wearable data. Not a product decision dressed up as a clinical one.
We map your user population, data sources, and product goals. What devices do your users have? What behavior are you trying to drive? What does a good day look like for your user? One call, one week turnaround on scope.
We map your user population, data sources, and product goals. What devices do your users have? What behavior are you trying to drive? What does a good day look like for your user? One call, one week turnaround on scope.
We propose the scoring architecture: which metrics, which algorithms, how scores surface in your product. You get a technical spec and a delivery timeline before anything is built.
We propose the scoring architecture: which metrics, which algorithms, how scores surface in your product. You get a technical spec and a delivery timeline before anything is built.
Algorithms implemented and deployed on your infrastructure. API endpoints, documentation, and a dashboard view included.
Algorithms implemented and deployed on your infrastructure. API endpoints, documentation, and a dashboard view included.
Every score ships with documented methodology and auditable thresholds. Ready for security questionnaires and compliance review.
Every score ships with documented methodology and auditable thresholds. Ready for security questionnaires and compliance review.
We stay available for tuning in the first 30 days post-launch. Your team gets handover documentation and direct access to the engineers who built it.
We stay available for tuning in the first 30 days post-launch. Your team gets handover documentation and direct access to the engineers who built it.
The health products we build run on open source infrastructure we maintain. Open Wearables is the wearable data platform we built from scratch, including the health scoring algorithms inside it. Not third-party dependencies. Tools our team built, running in production across our clients' platforms.
Unified Health API for multi-vendor wearables data integration. Build personal health insights applications without vendor lock-in.

Natural language AI interface for FHIR servers - query clinical data using conversational prompts instead of complex FHIR queries.

Terraform modules for HIPAA-compliant cloud infrastructure - production-ready AI software for healthcare architecture.

AI agents that understand Apple Health data through conversational queries - enabling personal health recommendations.

AI-powered medical documentation and clinical note generation - automated transcription with structured FHIR output.

Interactive analytics and visualization for FHIR healthcare datasets - transform clinical data into actionable health insights.

Tell us about your project and we'll get back to you within one business day.
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A health score is a single number computed from raw wearable data that tells a user something actionable: how well they slept, whether they're recovered, how much strain they've accumulated. Custom means the algorithm is designed for your user population, not generic thresholds built for everyone.
Device scores are black boxes. You can't read the methodology, adjust the thresholds, or explain to a user or compliance team how the number was calculated. Our scores are open, auditable, and explainable - and they work consistently across any device your users have.
Nowhere it shouldn't. Scores are computed on your infrastructure. No user data leaves your environment. This is essential for HIPAA-eligible products and enterprise platforms with data sovereignty requirements.
No. We can deliver custom scoring algorithms on top of your existing data pipeline. Open Wearables makes it faster, but it's not a requirement.
We connect mobile health apps to data from Apple Health, Garmin, Oura, Whoop, and more. Through our Open Wearables platform, you integrate once and access normalized health data across all supported devices instead of building separate integrations for each vendor.
That's what the discovery call is for. We've built scoring logic for clinical populations, weight management platforms, and performance products. If you have a specific health behavior you want to drive, we'll scope an algorithm for it.