For Platform Partners

Integration-ready today. Three parameters per user. Every metric derived.

TrueZone is an SDK and API that turns existing heart rate data into real physiological insight. No change to your hardware, no change to your user experience. Just better science underneath.

28,000+
Sessions validated
3
Sports validated
~6 bpm
Median error
3
Parameters
2045
Patent protection

The Problem

Every platform shares the same limitations.

Across the entire wearable industry, the core science is unchanged: a VO₂max estimate extrapolated from heart rate response, fixed percentage-based zones, and heuristic recovery scores. None of them model endurance, detect real metabolic thresholds, or individualize training zones.

Garmin

Endurance Score is a heuristic composite, not a physiological parameter. Lactate threshold inferred from guided tests. Zones still percentage-based. No unified model connecting thresholds, endurance, and metabolism.

Apple

Cardio Fitness reduced to a single VO₂max number. Fixed percentage zones with no physiological basis. No threshold detection, no endurance modelling, no metabolic insight.

WHOOP

Strain and recovery indices from HRV and HR. No direct endurance, threshold, or metabolic metric. No physiological model underlying the scores.

Polar

Running Index and orthostatic tests available. Zones still generic percentage-based. No individualized endurance parameter or metabolic modelling.

COROS

VO₂max and threshold estimates via EvoLab. No endurance parameter. No metabolic zones or substrate modelling. Threshold detection requires structured efforts.

Samsung

VO₂max estimate and coaching features. No physiological threshold mapping, no endurance metric, no metabolic modelling.

What You Get

A science layer that drops into your stack.

No hardware change

TrueZone works with existing heart rate and speed/power data. No new sensors, no firmware updates. Your users' existing data is enough.

Bayesian accumulation

Parameters refine automatically with each activity session. No calibration test required. Accuracy improves over time from ordinary use.

Patent protected

One granted patent and one pending, filed in both the US and Europe. Protection extends to 2045. A defensible moat for platform partners.

Sport-universal

The same model architecture fits running, cycling, walking, and team sports without sport-specific tuning. One SDK, all activities.

Full metric suite

From three parameters: endurance, HRmax, VO₂max, thresholds, zones, race predictions, fat oxidation, energy expenditure, and recovery kinetics.

Transparent parameters

Unlike black-box ML models, every output is physiologically interpretable and trackable over time. Users can see exactly what changed and why.

Integration

Three steps to real physiology.

1

Send activity data

Heart rate + speed (or power) streams from any wearable or app, via REST API.

2

TrueZone processes

The ODE model fits each session. Bayesian memory accumulates across sessions.

3

Receive full profile

Three converged parameters and every derived metric returned per user.

In Practice

What your users see.

TrueZone outputs are designed for coaching staff, performance directors, and platform dashboards. Here's what the data looks like for a professional football team tracked across a full season.

Players overview dashboard showing 13 player cards with PrimeScore, Endurance, and Vmax metrics
Team overview with PrimeScore scatter plot across the seasonPlayer progression chart showing endurance trending up with confidence cloud

Intellectual Property

Patent-protected technology.

Driftline holds one granted patent and one pending patent for heart rate kinetics modelling and aerobic endurance estimation, filed in both the United States and Europe. Protection extends to 2045, providing a defensible moat for platform partners who integrate TrueZone.

FAQ

Common questions.

What data format do you need?

Heart rate and speed (or power) as time-series arrays, typically at 1 Hz. JSON or CSV via REST API. Standard wearable export formats are supported.

How quickly does a user get results?

The model produces a full physiological profile from the first session. Parameters refine with each subsequent session, typically converging within 5–15 activities.

Does it work with optical heart rate sensors?

Yes. The model is designed for consumer-grade wearable data. Optical HR from wrist-worn devices works well for steady-state and variable-pace activities.

What about indoor cycling or treadmill running?

Fully supported. Indoor cycling uses power data. Treadmill running uses the set speed. No GPS required.

How is TrueZone priced?

Contact us to discuss pricing for your platform and expected user volume.

Ready to add real physiology to your platform?

We work with wearable companies, training apps, sports analytics platforms, and digital health providers. The SDK is ready today.