Health Scoring

Custom health scores for apps
designed by health scientists

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 review
Trusted by:
WHAT YOU GET

Health scores built for your users, not for everyone

Your 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.

01

Sleep score

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.

02

Recovery score

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.

03

Strain score

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.

04

Resilience score

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.

05

Readiness score

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.

+

Custom scores

Readiness for clinical populations. Metabolic load for weight management platforms. Cognitive recovery for performance products. We scope it in discovery.

OUR PROCESS

From discovery to delivery

One week to scope. Four weeks to build. One week to launch. Every step documented and handed over.

01
WEEK 1

Discovery and architecture

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.

User population auditDevice inventoryScope document
02
WEEK 2

Scoping

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.

Technical specAlgorithm selectionDelivery timeline
03
WEEKS 3–5

Development and integration

Algorithms implemented and deployed on your infrastructure. API endpoints, documentation, and a dashboard view included. Your team gets access to the codebase throughout.

Production codeAPI endpointsDocumentation
04
WEEK 6

Compliance and QA

Every score ships with documented methodology and auditable thresholds. Ready for security questionnaires and compliance review.

Methodology docsThreshold auditQA report
05
POST-LAUNCH

Launch and support

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.

30-day supportRunbooksDirect access
BUILT ON OPEN SOURCE

We built the health scoring layer in Open Wearables

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
Open source
open-wearables
Wearable health data platform with open scoring algorithms. Designed by health scientists, built by engineers, deployed on your infrastructure.
MIT
License
100%
Open algorithms
0
Black boxes
BUILT ON OPEN SCIENCE

Algorithms you can audit, explain, and own

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
12+
Years of wearable health data experience
220+
Healthcare products built or consulted on
8 wks
From discovery call to production scoring
100%
Open algorithms. Full methodology handoff included
WHO BUILDS IT

Health scoring designed by a scientist, not just engineers

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 algorithms
AZ
Anna Zych, PhD
Health Scientist, Momentum
Exercise physiology and biomarker analysis
Algorithms grounded in published research
Validated against real wearable datasets
Methodology defensible to compliance reviewers
WHY IT MATTERS

The feature that brings users back,
every single day

01

The score is why they open the app tomorrow

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.

02

No user data leaves your environment

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.

03

Every threshold documented, every score explainable

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.

Case studies

Ready to ship scores your users will trust?

We scope, design, and deliver custom health scoring in six weeks.

Book a discovery call to define your scoring spec and see what's possible with your data stack.

Book a Discovery