Performance Software

The models and applications that turn signal into insight: training load and readiness models, coaching platforms, and the on device intelligence that interprets movement where it is sensed. This is the interpret and deliver end of the chain, where the assumptions built into a model shape the numbers a user finally sees.

Performance Software technologies

Effort condensed into a figure.

Training Load Model

A model that condenses heart rate, duration, and sometimes power or recovery into a single readiness or strain figure. The inputs are measured, but the way they are combined is a designed choice that encodes a theory of training, not a law of nature. The trend a model produces within one system is usually more trustworthy than its absolute magnitude.

Software model

Many devices, one dashboard.

Coaching Platform

Software that pulls data from many brands of device into one consistent dashboard, so a coach can see a whole squad in a single view. Most of its real engineering is unglamorous plumbing: mapping fields, reconciling timestamps, and handling the gaps when a device drops out. Its usefulness rests on the breadth and stability of the integrations beneath it.

Web and mobile software

Inference where it is sensed.

On-Device Machine Learning

Trained models that interpret movement directly on the wearable that captured it, so raw data never has to leave the device. This protects privacy by default and keeps working without a network, at the price of fitting a model into kilobytes through quantization and pruning. It is a constraint that reshapes how movement models are designed from the start.

Embedded on wearable