Pramaana Labs combines conventional large language models with a deterministic verification layer that uses tools of formal verification inspired by the open-source LEAN proof assistant. The company develops LEAN-style, domain-specific formalizations overseen by domain experts to codify rules into executable code. Pramaana is targeting high-stakes verticals—such as tax, law, drug discovery, and cybersecurity—where errors can have serious consequences. Its approach keeps the flexibility of LLMs for natural language reasoning while adding a verification step to ensure outputs check out. The company is collaborating with advisors and academics including former IRS commissioner Danny Werfel and professors from IIT Delhi, IIT Madras, and UC Berkeley. The product roadmap centers on building formal verification systems tailored to each use case and deploying them in regulated or safety-critical settings.

Total raised

$27M

Funding rounds

1

Latest round

Seed

Latest activity

Jun 2026