Mathew Riexinger

CEO OdAR 

OdAR is designed to go beyond detection. By analyzing how chemical signatures evolve over time and space, it enables chemical ranging—inferring direction, gradients, and likely source locations. This capability allows individual devices to work collaboratively with autonomous platforms, forming distributed networks that can localize and verify chemical events with high confidence.

The system is inspired by mammalian olfaction and implemented using a bio-synthetic olfactory bulb, advanced nanomaterials, and neuromorphic processing. Instead of relying on brittle, single-purpose sensors, OdAR uses pattern-based perception: many weak, cross-reactive signals combined into stable, learnable signatures. This allows the system to operate in complex, noisy, real-world environments where traditional sensors struggle.

A core principle of the project is adaptability. The system is built to learn continuously, compensate for sensor drift, and retain evidentiary traceability. Each detection can be audited, replayed, and validated, making the technology suitable for safety-critical and high-consequence applications.

My focus is on building systems that bridge biology, engineering, and intelligence—tools that perceive the world more like living organisms do, while remaining explainable, scalable, and practical. OdAR is an attempt to make chemical information as usable and actionable as visual or spatial data, and to unlock an overlooked dimension of situational awareness.