Strategy meets
science.

The Strategist

He has spent his career on both sides of enterprise AI — close enough to the technology to build it, and long enough inside the strategy to see, at scale, why it so often fails to deliver. Across 15+ years advising many of the world's largest enterprises, one conviction hardened: the enterprises that win with AI won't be the ones that adopt it fastest, but the ones that adopt it in a way they can stand behind, and trust with real money and real judgment.

He built Theoremic to be that system. Not another tool that tells enterprises where value leaked, but an intelligence layer that acts to keep it — governed, accountable, and built to last. Theoremic is the platform he spent a career wishing his clients had.

Co-Founder — Chief Architect of Value

The Scientist

He has spent his career at the frontier of applied AI — a researcher by training and, today, a builder of enterprise-grade AI products inside one of the world's largest technology companies. Where most of the field chases more capable models, one conviction has guided his work: in the enterprise, the model was never the hard part. Trust is. An answer no one can audit, explain, or reproduce is worth nothing to a company with real money on the line.

He brings that rigor to Theoremic's cognitive kernels — the precision-engineered reasoning layer that turns a capable model into a system an enterprise can actually deploy: explainable, auditable, and built to scale.

Co-Founder — Chief Architect of Systems