Non-invasive reliability for code and ML/AI beyond unit testing: formal verification, edge-case
detection, and actionable insights.
Even well-tested code and AI models can fail in the real world. Models learn shortcuts that test data misses,
and unit tests rarely catch hidden edge cases. For mission-critical systems, those blind spots can become
costly failures.
For decades, formal methods and pattern recognition were powerful but too complex for most projects. We make
these techniques accessible to developers of any skill level — with minimal overhead — while supercharging
your system’s reliability.
Comprehensible
