Pramaana Labs builds a verification layer for high-stakes AI. The company translates tax codes, legal rules, clinical guidelines, scientific guidance and safety constraints into machine-checkable representations. The resulting system combines foundation models trained to formalize and reason with a symbolic world model encoded in Lean 4, and outputs proof artifacts that domain experts can inspect rather than plausible answers or confidence scores.
Founded in 2025, the company works across neuro-symbolic AI, formal methods, formal verification, automated reasoning and symbolic world models. Target verticals include tax and compliance, legal, healthcare and clinical guidelines, scientific research and guidance, and other safety-critical and mission-critical domains.
The team brings together frontier AI researchers and formal-methods experts, with founder backgrounds at Google, DeepMind and Glean. Engineers, researchers, product managers and designers work side by side in a hands-on, early-stage environment, with ownership from research experiment to production product. Engineers collaborate closely with researchers and domain specialists, while product and design work focuses on making formal verification legible through inspectable rules, assumptions, evidence and failures.
