Wearable data ingestion, documented health scores, and an AI insight engine — everything you need to build personalized coaching experiences without building the data layer from scratch.
Most teams building an AI coaching product spend months on OAuth flows, webhook plumbing, and unit normalization before they write a single line of coaching logic. By the time the data layer works, the coaching idea has lost momentum.
Adjust training load recommendations based on real recovery and readiness data, not a fixed schedule.
Coach users toward better sleep using documented sleep-stage and efficiency scoring.
Flag elevated strain or HRV drift and trigger a coaching intervention automatically.
Reduce or escalate a plan based on acute:chronic workload ratio, not guesswork.
Correlate activity and recovery data with nutrition logging for context-aware suggestions.
Users link the wearable they already own — no new hardware, no special app to download.
Rabts normalizes the data and computes documented, explainable health scores automatically.
Your product consumes the API or webhooks to trigger whatever comes next — an alert, a nudge, a dashboard update.
Every score ships with its methodology — explain it to a user, don't just display it.
Bring your own model — OpenAI, Anthropic, or anything else. Rabts feeds it structured data, not a black box.
Trigger a coaching moment the instant new data lands, not on the next polling cycle.
Your coaching logic doesn't need a special case for each device your users own.
Create a free account and start pulling normalized wearable data into your coaching product today.
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