The Last Digital Frontier: Smell

Our most primal sense influences 75% of emotions and our strongest memories, yet it's been absent from the digital revolution.

The challenge isn't that AI can't learn to smell, it's the absence of comprehensive data. While language models train on trillions of words and vision models on billions of images, no large-scale scent dataset exists.

Previous "e-nose" attempts failed because they lacked robust data pipelines and modern AI architectures. Nosy solves both problems through NASA-licensed nanosensors and a decentralized network of NosyNodes that convert molecular information into machine-readable data.

This creates the world's first Large Essence Model (LEM), an AI that understands smell as LLMs understand language. Our decentralized ecosystem rewards scent data contributors and enables developers to build scent-native applications.

The implications are far-reaching: detecting toxins, predicting seizures, assessing food safety, and alerting us to invisible dangers. With a $170B+ market opportunity, Nosy is bringing smell online, not just with better hardware, but with an AI-powered system that finally digitizes this invisible but essential sense.