We combine Formal Methods with Generative AI to mathematically prove the absence of runtime errors in C codes.
CVEs are growing exponentially.
Legacy testing is failing the CVE crisis. Our solution prove code correctness at scale and eliminate the economic burden of vulnerabilities.
We have reached 90% automation for formal verification in the C language.
We target runtime errors, which account for over 70% of all Common Vulnerabilities and Exposures.
We drastically reduce the engineering cost to *mathematically prove* the absence of execution errors.
It is now possible to detect 100% of runtime errors in your legacy code and identify its validity domains. Regain total confidence in its utilization.
The Shift to Modular Architecture
Our formal methods software naturally finds validity domains, driving a necessary shift in global software architecture.
The idea that software should share all structures and functions with zero redundancy collapses past one million lines.
We advocate for architecture cut into blocks connected by a Directed Acyclic Graph (DAG), using the C ABI for precise control.
Ideally under 10k LoC.
Strict minimum of functions.
This modular approach is crucial for leveraging modern AI. Generative AIs are highly performant on small code blocks but degrade when context becomes too large. By keeping blocks under 10k lines, AI's ability to generate valid code in one go is maximized.
We envision a future where C code is decomposed into independent blocks, connected via the C ABI, and verified by formal methods.
Complete removal of CVEs caused by runtime execution faults.
Drastic reduction in logic errors, as controlling flow in sub-10k line blocks is significantly simpler.