Always sensing.
Rarely interrupting.
LEAF is a skin adaptive wearable that reads airborne chemistry and skin-level biomarkers together, on device. It stays quiet until a change persists long enough to matter, then surfaces one cue worth acting on.
Signals Loop
Sense, Understand, Respond.
One continuous chain from ambient and skin inputs to clear, meaningful cues.
Airborne chemistry, sweat biomarkers, and skin temperature tracked passively all day, without manual sampling.
Correlates signal patterns with learned baselines to flag exposure trends alongside stress biomarker trends.
A soft haptic, thermal, or olfactory cue when a change requires attention. Nothing on a screen unless you ask for it.
Signal Flow
Always on, quietly adaptive.
The system continuously interprets context and surfaces a cue only when attention is warranted.
Continuous · Passive · On device
Use Cases
Built for real world conditions.
From observational research to occupational settings and daily wellness, the system adapts to context without adding friction.
Continuous skin fluid biomarker capture for longitudinal protocols: higher compliance than scheduled sampling, denser time series, and per-participant baselines instead of cohort averages.
Highlights CO₂ and VOC buildup linked to poor sleep environments so users can adjust conditions sooner.
Continuously tracks personal airborne exposure shifts for lab and kitchen teams without relying on fixed sensors.
Platform Readiness
Evidence package, ready for review.
What research partners and pilot teams receive before any commitment.
Qualified partners receive a signal matrix, onboarding checklist, and implementation constraints before kickoff.
Why This Approach
Signal processing runs on device by default. Data sync is user initiated. Identifiable data sharing is opt in. Current positioning is general wellness and environmental awareness, not diagnostic use.
Access Requests
Request
pilot access.
Tell us your use case and team context. We review each request and share access selectively for pilot participation.
Thanks, your submission was received. We will follow up soon.