Pramaana Labs Raises $27M in Seed Funding Round

The round also saw participation from Founders Future, Accel, Boldcap, Nexus Venture Partners, Premji Invest, and Unbound. 

The company plans to use the funds to develop its auto-formalization software, improve and scale its formal verification proof engine, and hire more research engineers from leading AI labs.

Pramaana is the first company to apply formal verification to large-scale, high-stakes industries. In sectors like tax, law, healthcare, finance, and government, AI systems still cannot fully stand behind their answers, so human experts must review them.

This is not because AI is too slow, but because mistakes in regulated fields carry serious consequences and accountability. Pramaana is designed to solve this by removing that limitation.

The system turns complex knowledge into machine-verifiable rules. Pramaana first encodes domain knowledge—such as the US tax code, clinical guidelines, and financial regulations—into a formal language that a machine can reason about with mathematical certainty.

When a user asks a question, the system converts it into a formal statement and runs it through a proof engine. It either produces a verifiable proof that the answer is correct or explains exactly which rule is violated and why. It will not respond unless it can prove the answer, and it has never returned a confidently wrong verified result.

“While these are exciting times, AI-driven innovations also carry significant risk if they're not deployed responsibly. I see Pramaana Labs as a critical missing puzzle piece that, when plugged into existing AI solutions, helps tax filers and tax professionals achieve outcomes with greater speed, accuracy, and fidelity,” said Danny.

"AI has an accountability gap," said Ranjan Rajagopalan, Co-Founder and CEO of Pramaana Labs. "The world's hardest problems are not unsolvable. They are unformalized. Every domain where being wrong can cost someone their health, money or freedom has rules. Pramaana encodes those rules into a form that a machine can reason over with certainty. When AI can prove its answers, the human in the loop stops being a liability shield, and AI becomes what it was always supposed to be: the expert."

"Pramaana’s work is exciting because it builds on fundamental research to bring us closer to a future of seamless, trustworthy, and autonomous AI. Trustworthy AI should not require users to think like machines or become verification experts. As AI systems take on more complex tasks, trust should come from interpretable machine-checked guarantees built into the systems themselves," said Prof. Gireeja Ranade, EECS UC Berkeley.

About Pramaana Labs

Founded in 2025, by Sanjay Ganapathy, Ranjan Rajagopalan, and Krishnan Raghavan, and based in Palo Alto, Pramaana Labs builds AI that turns complex human knowledge into machine verifiable truth, where every claim is traceable and accountable. It is the first company to apply formal verification at scale in high stakes commercial areas such as tax, healthcare, financial compliance and government policy.