Atum Platform
Atum compiles breathing into continuous respiratory intelligence: baseline, shift, drift, recovery and confidence.
What Atum provides
Structured observations relative to a personal baseline.
{ "baseline": "stable", "shift": "moderate", "persistence": "3 nights", "recovery": "incomplete" }
Observation first. Interpretation remains external.
Each state is grounded in respiratory metrics — the standard measures people rely on, and the advanced signals Atum derives.
{ // standard "respiratory_rate": "14.2 /min", "rate_variability": "0.8 /min", "inhale_exhale_ratio": "1 : 1.6", "breath_depth": "normal", "regularity": "0.92", // advanced "baseline_deviation": "+1.3σ", "respiratory_stability": "0.78", "autonomic_tone": "elevated", "recovery_trajectory": "improving", "confidence": "0.94" }
The API exposes a continuous respiratory signal — derived from breathing, structured over time. It is designed to be read programmatically, integrated into existing systems, and queried as a live stream or historical record.
A continuous signal changes what can be built. It allows systems to respond to physiological state — not to snapshots, surveys, or intermittent readings.
Atum observes.
Partners interpret.
Agents act.
Atum does not decide what a change means. It makes change observable.
Partners combine respiratory observations with symptoms, wearables, labs, medical history, behavior and other signals.
Built for AI health systems
The platform
Access respiratory observations through structured endpoints.
Integrate respiratory intelligence directly into mobile and health applications.
Monitor cohorts, users, signal quality, baseline formation and respiratory state evolution.
Build on Atum
Access is opening gradually, to those building on top of physiological data. We’re currently working with a limited number of partners.
What are you building? Pick the option that fits best.