We build AI systems grounded in physics and mathematical first principles. Hamiltonian dynamics. Statistical mechanics. Spectral theory. Quantum chaos. These aren't textbook abstractions — they are the engine.

Origin Neural AI operates at the intersection of physics, mathematics, and engineering. Our core DSC-1 Daugherty Engine uses simulated bifurcation to solve combinatorial optimization problems that conventional systems take months to crack — in under an hour. This engine powers five production applications spanning voice synthesis, drug discovery, genomics, and agentic commerce, with six research projects advancing spectral theory, neural embeddings, cross-chain cryptography, and more.