Longevity & Optimization

Long-horizon tracking for people optimizing for decades, not weeks

Sleep, recovery, and training load trends over months and years — the same intelligence layer performance teams use, for anyone optimizing their healthspan.

The Problem

Most apps show you yesterday, not the last five years

Consumer wearable apps are built around a daily snapshot. People optimizing for the long term switch devices, add new sensors, and want a trend line that survives all of it — not five disconnected app histories.

What You Can Build

Tools for tracking what actually changes slowly

Multi-Year Trend Dashboards

Chart resting heart rate, HRV, and sleep trends across years, not just the last 30 days.

Device-Agnostic History

Switch wearables without losing the trend line — the schema is unified across every provider.

Personal AI Health Assistant

Ask questions about your own long-term data in natural language.

Biomarker Correlation

Pair wearable trends with lab results or other data you track elsewhere.

How It Works

From wearable to insight

1

Connect

Users link the wearable they already own — no new hardware, no special app to download.

2

Score

Rabts normalizes the data and computes documented, explainable health scores automatically.

3

Act

Your product consumes the API or webhooks to trigger whatever comes next — an alert, a nudge, a dashboard update.

Why Rabts

Built so your history outlives your hardware

Unified Schema

Your data doesn't reset when you switch from one wearable brand to another.

Documented Scores

Sleep and resilience scores computed the same way, year after year, so trends stay comparable.

AI Insight Engine

Flags slow drift over months — not just a single bad night.

You Own the Connection

Connect, disconnect, or export your data whenever you choose.

Start your long-term health record

Connect your wearable and start building a health history that outlives any single device.

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