A research lab giving machines a sense of smell.
Machines can already see, hear, move, and speak. They still mostly cannot smell — and smell is chemical information the physical world is full of.
What we build
Aeralyte is building the full smell intelligence stack, not a single gas sensor: controlled air sampling, compact electronic-nose arrays, on-device AI, calibration protocols, and rigorous experimental methods. The intelligence lives in the loop between air, sensor, model, protocol, and deployment.
The ladder
Where we are now
We have designed the air-sampling protocol, a five-sensor electronic-nose array, the ESP32-S3 firmware, and the analysis pipeline that turns sensor responses into smell fingerprints. The hardware is on the bench now — we are bringing it up and moving into controlled chamber experiments.
What we are chasing first: repeatable smell fingerprints on real hardware, then tracing sources and predicting change earlier than the eye can.
References
- 01
AERALYTE_RESEARCH_LAB_BRIEF.md— company narrative & research direction. - 02
PHASE0_HARDWARE_LAB.md,PHASE1_CONTROLLED_ENOSE_EXPERIMENT.md— current bench & experiment plan. - 03GitHub —
XoAnonXo/aeralyte.