Company
Operators who have built and exited deep tech together, and the researchers who wrote RASP.
One core
Operators who have exited before, a research bench rooted at Mila, and advisors who built the field. Each wired to the core.
Fig. 1 · Org map · 2026 · Net: third venture together
The team
Scientific advisory
Plus three senior scientists from top tier global research centers. Names withheld pending publication consent.
Faculty researcher in a leading deep learning lab, trained under a foundational figure in information theory. Brings the information bottleneck lens on what neural networks keep and what they can afford to lose.
Pressure tests: RASP error bounds: what the residual tail can drop without losing reasoning.
PhD from a top Canadian ML institute, researcher at a global industrial AI lab. Focus on continual learning and modular, composable models that adapt without forgetting.
Pressure tests: The co adaptive loop: how the routing policy sharpens without drifting.
Researcher at a leading European institute. Lead author of ICML oral presentation work with a major silicon partner: up to 2.8x inference speedups across mismatched vocabularies.
Pressure tests: The draft and verifier control loop inside PrizmalRun.
One on ones, sessions that challenge the hypotheses
Mila network, structured bridge to researchers
Roadmap, situates the work against where AI and infrastructure are heading
Backers
Careers and team inquiries: careers@prizmal.ai