Public Safety
AI That Smells Danger Before It Strikes
Detect narcotics, toxic gases, and thermal events in real time.
Proactive, Protective, and Preventative
Narcotics
Fentanyl 100,000+ Americans annually. Officers lack safe, scalable non-contact detection.
Lithium-ion batteries fail without warning. Off-gasses present 5 to 30 minutes before heat.
Lithium-Ion
Start chemically, not visually. Smoke detectors see danger too late. Nosy catches problems early.
Electrical
Smell:The Missing Sense in Machines
Cameras see. Microphones hear. Touch sensors feel. But machines remain blind to chemical threats—unable to detect a fentanyl-laced package, a failing battery, or a gas leak until it's too late.
Smell is how living things sense danger. Now machines can too.
A Foundational Model for Scent
Nosy is building the world's first Large Essence Model (LEM)—a transformer-based AI trained to identify molecular patterns from nanosensor data.
Just as LLMs understand language and vision models recognize images, LEM understands smell. It detects known threats and learns to recognize novel compounds that traditional methods miss.
Powered by NASA Technology
Our sensors incorporate nanotechnology originally designed for NASA space missions—now adapted for detecting chemical signatures on Earth. Built on decades of research into molecular detection, this space-grade technology enables parts-per-billion sensitivity in a compact, field-ready form factor.