Frontier AI puts critical software at risk
Make it provably correct,
down to the machine level
Probably correct.
Provably correct.
Why now
AI systems can now find and exploit flaws that human reviewers miss.1
AI also writes code at a pace beyond human audit, and at a complexity beyond human comprehension.2
No software is trustworthy under these conditions, unless its correctness can be proven mathematically.
1 Anthropic, “Claude Mythos Preview,” 2026. 2 METR, “Measuring AI Ability to Complete Long Tasks,” 2025.
How proof fixes that
A mathematical proof guarantees that a program behaves correctly on every possible input, not just the ones it was tested on.
Even when the code is too complex for a person to read, a trusted kernel can check the proof automatically.
The proof attaches to the compiled binary that runs on the machine, regardless of who or what wrote the code.
Introducing
Tau
A reasoner and a prover.
Tau works directly on your compiled binary, captures your intent as formal specifications, and proves them mathematically, returning either an audit-ready certificate of correctness or a report of the bugs that break them.
Tau is built on Talos, our open-source interpreter that lifts the binary into a form Tau can reason about formally.
Compiled binary
Tau
Correct
Proof certificate
Incorrect
Bug report
Backed by
