Teach AI to Smell.

72%

Detection Accuracy

10,000+

Devices Coming

World of Smell Lacks Digital Data

While AI can now see, hear, and understand language with superhuman ability, it remains blind to one of our most powerful senses: Smell. Why? Because we lack the massive, structured scent datasets.

LLMs revolutionized text, from coding to medical diagnosis.

Stable Diffusion learned from 5 billion images

AI models now create and analyze visuals with near-human accuracy.


The technology to digitize smell exists, but without validated scent data, we rely on unreliable sensors or human noses.

Large Essence Model (LEM) – AI That Learns to Smell

Nosy trains the Large Essence Model (LEM), the first AI that recognizes scents like humans. Just as LLMs learn patterns from trillions of words, LEM identifies molecular “fingerprints” from scent data.

When you smell coffee, you don’t analyze its 800+ compounds—your brain recognizes scent patterns that say “this is coffee.” LEM works the same way, continuously learning and adapting.

Like language models transfer learning across languages, LEM transfers its knowledge across substances, enabling applications from narcotics detection to disease diagnosis.

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First Batch: 10,000 NosyNodes

Starting at $3,000 per unit

The waitlist is growing!

Early adopters will be first in line to receive their devices and start earning rewards as founding members of our scent-sensing network.

Accelerate Your Olfactory AI Research