&Truth

AI Safety · Formal Verification · Developer Tools

Launch

&Truth emerges from stealth with $70M seed for AI code verification

Formal verification can mathematically guarantee code behaves as intended, a decades-old technique AI may finally make affordable at scale.

• &Truth, a public benefit corporation founded in early 2026, emerged from stealth on October 29, 2026, disclosing $70 million in seed funding from a group of AI safety and venture capital backers.
• The company is building a 'universal verification machine' meant to read code in any programming language and mathematically prove it is safe, secure, and correct, with proofs anyone can check independently.
• Stanford researcher Chuyue Sun, who joined &Truth in August, showed AI could complete a formal verification project in under half a day for under $500, versus five months of manual expert work, and used AI to verify part of Signal's encryption code.
• &Truth is building its proof system on Lean and Mathlib, an open-source library of more than two million lines of mathematical theorems, and plans to open-source its foundational verification libraries.
• &Truth enters a fast-forming field: Harmonic, co-founded by Robinhood CEO Vlad Tenev, has raised $295 million and this week extended its Aristotle agent to verify C code and Verilog hardware designs, while Anthropic and startup Theorem have separately used AI to find bugs 'trillions of tests' missed.
• As AI both accelerates code generation and arms attackers who exploit software flaws, mathematical proof of correctness could become a baseline requirement rather than a niche technique reserved for critical systems like aircraft microkernels.