Aristotle Expands Into Formal Verification for Software and Hardware, Starting With C and Verilog
Today we’re bringing Aristotle to software and hardware, starting with C and Verilog. Formal verification has always been slow and costly, and mostly limited to specialists. Aristotle puts it within reach of any engineering team.
AI now writes code faster than teams can review it. Code review used to slow teams down. Now it’s where bugs slip through.
After successfully proving Aristotle’s capabilities in research mathematics, we’re now applying the same technology, AI reasoning grounded in machine-checked proofs, to software and hardware. Unlike approaches such as code review and testing that examine only a portion of possible behaviors, Aristotle uses formal verification to mathematically prove if specified properties hold across all possible inputs within a defined system.
“The implications of this expansion extend beyond how developers build software,” said Tudor Achim, co-founder and CEO of Harmonic. “For businesses that rely on software and hardware, mathematically verifying critical systems provides a new way to identify defects and vulnerabilities before they become costly or catastrophic problems.”
Aristotle fits into the workflow your team already has. It proposes properties from your code, then reports which ones it proved, which it didn’t, and the assumptions each proof rests on. Engineers review the properties, commit them to their repository, and run Aristotle in CI on every commit, so what’s proven stays proven.
With support for C, Aristotle can verify software against specified requirements, including functional correctness and the absence of certain classes of undefined behavior. For Verilog, Aristotle enables total logical verification across control-path properties such as liveness and safety as well as mathematical data-path properties.
Aristotle is available today. Get started at aristotle.harmonic.fun with self-serve, consumption-based pricing, or contact bd@harmonic.fun for enterprise plans, including volume pricing, dedicated support, and on-prem or private-cloud deployment.