It learns your habits
It watches how your recovery, measured by your morning HRV, reacts to the load of the previous days. Every cyclist responds differently: the model adapts to you.
Early access · Cycling
The cyclist's digital twin
Load a route, choose the power you want to ride it at and see in advance how your body will respond: heart rate, anaerobic reserve W' and the points where you risk blowing up.
The What-If simulator
Try the race before you ride it
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Load the elevation profile
A GPX file of the route, or one of your saved routes.
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Set your power targets
Watts for every section: climbs, drags, descents. The curves update while you edit them.
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Read the forecast
Expected heart rate, W' depletion and the critical points where your reserve runs out, with advice on how to handle them.
Training that fits you
An artificial intelligence that learns from you
Digital Twin is connected to a machine learning system that learns how you respond, not an average athlete. Before every session it tells you whether, and how much, to change it.
It advises on your next workout
Based on your current form and the workouts you have already completed, it suggests whether to keep the planned session, ease it off or step it up, and by how much.
AI suggestions, when you need them
With "Chiedi all'IA" (Ask the AI) you get the suggestion right on today's or this week's session, with the reason. If there is not enough data it tells you, instead of making something up.
During early access, the AI suggestions are labelled as demonstrations: the final decision stays with you or your coach.
For coaches
Follow all your athletes, each with their own digital twin
Digital Twin has a Coach mode, in the same app: connect your athletes and work on their data as if they were in front of you.
The athlete shares a code with you from their profile and decides what you can see: they can revoke access at any time.
- Switch between athletes with "Stai seguendo" (Following): today, plan, simulations and profile of the selected athlete.
- Manage the physiological profile: CP, W', heart rate thresholds, with calibration from their own workouts.
- Plan: upload structured workouts, races and race plans on the route, which the athlete finds in their calendar.
- Simulate for them: try power targets on their digital twin before the race.
Under the hood
How it works
An explicit physiological model
The calculation is based on critical power (CP) and W' and on a model of the heart rate response. Every formula is documented, has declared units and is checked by tests against hand-calculated values.
Your real training
With an account, the app imports your activities from intervals.icu and calibrates the digital twin on your recorded power, heart rate and HRV.
The calculation stays on your device
The engine runs inside the app, so the curves update instantly as you change your targets. The server only stores the data.
Machine learning, transparently
Machine learning runs in a separate service and never touches the formulas of the physiological engine. Until there is enough data to validate it, the app presents its suggestions as demonstration estimates.
The project
A digital twin of the athlete
Digital Twin combines physiological models and training data to predict how you respond to effort.
It is a demo, not a medical product: the forecasts are for exploring scenarios, not for replacing a coach or a clinical assessment.
Works offline too
The app includes an anonymous demo dataset. If there is no connection, the simulator still works.
Your data is yours
The site uses Google Analytics, with cookies, only if you accept. Your training data stays in your account and is not shared.
Get the app
Digital Twin on your phone, in preview
The app can already be downloaded as a preview: on Android from Google Play, on iPhone through TestFlight, Apple's app for betas (it's free on the App Store; the link guides you).
You need an invitation to get in: if you don't have one, request early access from the app itself or with the form below.
Sign up
Try Digital Twin before everyone else
We are opening the app to a small group of cyclists, coaches and researchers. Request early access to try it now and help us improve it, or sign up for the launch notice and we will write to you when it is available to everyone. The app is currently in Italian; an English version is planned.
We will send you an email to confirm your address. We will only use your data for this, and you can unsubscribe at any time.
Can't see the form? That happens in reading mode: tap the document icon to go back to the full page, or write to info@digital-twins.app to request access.