Raw wearable data doesn't retain users. A score that tells them something actionable does. Built on open algorithms, tuned for your user population, deployed on your infrastructure. Live in 4-6 weeks.
Get a free scoring architecture reviewYour users aren't average. Their scores shouldn't be either. We design algorithms around their actual activity profiles, health goals, and data sources. Then deploy everything 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.
Readiness for clinical populations. Metabolic load for weight management platforms. Cognitive recovery for performance products. We scope it in discovery.
One week to scope. Four weeks to build. One week to launch. Every step documented and handed over.
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.
Algorithms implemented and deployed on your infrastructure. API endpoints, documentation, and a dashboard view included. Your team gets access to the codebase throughout.
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.
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.
See Open Wearables on GitHub →Every scoring model we deliver is built on peer-reviewed methodology and open-source libraries. No black box. No vendor lock-in. Your team gets full access to the logic, parameters, and thresholds.
See our open-source work →Anna Zych, PhD leads algorithm design at Momentum. Her research background is in exercise physiology and biomarker analysis. Every scoring methodology we ship has a scientific rationale she can defend to your users, your compliance team, or a clinical reviewer.
Most health scoring in consumer apps is built by engineers making educated guesses. Anna makes sure ours isn't.
Talk to the team behind the algorithmsA 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. 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.