Pramaana Labs

Pramaana Labs builds a verification layer for high-stakes AI: a system that translates tax codes, legal rules, clinical guidelines, scientific guidance, and safety constraints into machine-checkable representations. Rather than offering plausible answers or confidence scores, it combines foundation models trained to formalize and reason with a symbolic world model encoded in Lean 4, producing proof artifacts that domain experts can inspect. The work spans tax, legal, healthcare and clinical, scientific research, and safety-critical and mission-critical AI. The technical domains are demanding ones - neuro-symbolic AI, formal methods, formal verification, symbolic reasoning, Lean 4 theorem proving, foundation models, machine learning, world models, and knowledge representation. The team combines frontier AI researchers and formal-methods experts, and was founded by people with backgrounds at Google, DeepMind, and Glean. Founded in 2025, the company operates as a hands-on, early-stage environment in which engineers, researchers, product managers, and designers work side by side. Engineers collaborate closely with researchers and domain specialists, and individuals take ownership across the path from research experiment to production product. Product and design efforts focus on making formal verification understandable through inspectable rules, assumptions, evidence, and failures.