Activity intelligence for competitive cycling

Certified data. A new model.
A new way to see.

Racing virtually is the biggest opportunity for exercise science research since the power meter. It produces the closest thing to lab-controlled data that exists at population scale: maximal efforts, consistent protocols, independent device recordings, hundreds of thousands of athletes. The data has always been there. No one built the tools to read it.

RaceProof compiles, cross-references, and certifies that data into a single authoritative record. Then it analyzes what certified data makes visible: seven bioenergetic thresholds where your physiology actually shifts. Fourteen dimensions of athletic development, in a sport that has measured one for over twenty years.

What we built

Every layer required the one below it.

When Banister published the impulse-response model in 1975 and Coggan translated it into TSS, CTL, ATL, and TSB, they needed the same thing: certified data, a specific schema, and a new visualization to make it legible. That framework defined endurance training science for a generation. It has been largely stagnant since.

RaceProof is the next iteration, born from the data corpus that virtual cycling created. Three layers, each enabling the next.

01
Certified Data
Cross-source compilation and certification. Independent devices recording the same effort, resolved into a single authoritative record. When the data passes the governance process, it earns the badge.
Trust Score — Certified
02
Power Threshold Array
A new analytical model that replaces single-threshold FTP with seven bioenergetic transitions detected across the full power-duration curve. Each corresponds to a distinct energy system. Together they form a fingerprint that develops along fourteen independent dimensions.
03
Effort Signature + Loom
Every ride has a shape. RaceProof captures it as an Effort Signature: your effort rendered as color against PTA thresholds. Sprint power burns gold at the top. Threshold effort glows deep plum at the bottom. Line up a season of signatures and they become Loom, a biographical view of athletic development over time.
How each layer works →
Loom visualization showing six months of cycling data, each ride rendered as a vertical Effort Signature against the PTA spectrum

Introducing

Loom

Each vertical strip is one Effort Signature, the shape of a single ride. Color encodes the energy system. Brightness encodes fitness. A veil encodes fatigue. Line up a year of signatures and you see a season. Line up a career and you see who you are.

Research

The first population-scale evidence that racing develops the full curve.

Not at a single FTP threshold, but across every duration from 5 seconds to 20 minutes, for every rider in a validated four-year corpus. The data required certification. The analysis required PTA. The findings required Loom to present them.

+21.2W
Annual development gap between year-round and seasonal racers, full power-duration curve
2+ / wk
Average annual racing frequency above which whole-curve fitness development accelerates
145K
Classified riders in the validated four-year corpus
Read The Racing Effect →

Publication

Torque

RaceProof's research arm. Population-scale analysis of competitive cycling fitness, rider behavior, and platform engagement. Four years of event data, hundreds of thousands of riders.

Read Torque →

Join the beta