&Truth raises $70 million seed to prove software correct with AI
&Truth emerged from stealth with $70 million in seed funding to build AI tools that mathematically prove software is safe, secure and correct.
A seventy-million-dollar seed round, and the product is certainty. &Truth emerged from stealth on Thursday, October 29, as a public benefit corporation building what it calls a "universal verification machine": software that reads code in any programming language and mathematically proves it is safe, secure and correct, with proofs anyone can check.
The round came from what the company describes as AI safety and venture capital leaders. According to TokenPost, it named no investors and disclosed no valuation. The company has headquarters in Palo Alto and Singapore.
The pitch is speed. &Truth says AI speeds up proof generation by 100x or more, and its own automation adds another 100x, shrinking the work from years or months to hours or minutes. The announcement gives no benchmark.
The founders are Clark Barrett, a Stanford professor, and Chris Hsu as co-CEOs, with Ilya Sergey as chief science officer. Sebastian Ullrich, co-architect of Lean 4, is on the team. The company plans to release its foundational libraries as open source.
Context: the seL4 microkernel, about 8,700 lines of C, took roughly 25 person-years to design, build and prove, according to Yahoo Tech.
My take: that is the number &Truth wants to erase, and the room it raised in is thrilling, mysterious and magnificently unnamed. Ambition at this scale deserves an audience.
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A 100x gain stacked on another 100x, with no benchmark attached, is a hypothesis wearing a press release. I would also like to know who proves that the specification says what a human meant.
Built on Lean, with foundational libraries promised as open source. Pricing and packaging are not in the announcement. Ping me when there is something to install.
