YOUR PROBLEM
10,000 tests. 4 hours to run. Still miss edge cases.
Regression testing is expensive. Infrastructure costs. Engineering time. Pipeline delays. And after all that expense, tests only prove something worked for the inputs you tested—not all possible inputs.
What if you could prove correctness instead of testing for it?
THE REAL COST OF TESTING
Typical enterprise testing costs (annual):
And that's just the direct costs. Doesn't include velocity impact, opportunity cost, or stakeholder frustration.
WHY TESTS FAIL
Sampling problem
Tests check specific inputs. But there are infinite possible inputs. You're sampling. Bugs hide in the untested space.
Maintenance burden
Every code change requires test updates. Tests become brittle. Engineers spend more time fixing tests than writing features.
False confidence
"All tests pass" doesn't mean "the system is correct." It means "the system behaves as expected for the scenarios we tested."
Pipeline bottleneck
Comprehensive test suites take hours to run. Every commit waits. Developers context-switch. Velocity suffers.
THE INSIGHT
What if you could prove correctness instead of test for it?
Tests sample the input space. Proofs cover all possible inputs. Mathematically. Instantly. With no maintenance burden.
The comparison:
Testing
Samples inputs. Hours to run. Requires maintenance. Gives confidence. Misses edge cases.
Proofs
Covers all inputs. Instant. No maintenance. Gives certainty. Catches all edge cases.
SEE IT IN ACTION
Watch a change get verified with proof instead of 10,000 regression tests.
WHAT THIS MEANS FOR YOU
Zero regression testing
Mathematical proof of what's unaffected. No need to test unchanged modules.
100% coverage automatically
Proofs cover all possible inputs. Not samples—complete verification.
No test maintenance
Change the specification, proofs regenerate automatically. No brittle test suites.
Instant CI/CD
Proof generation takes seconds. No 4-hour test suites blocking deploys.
AND THIS IS JUST ONE APPLICATION
The same technology that does this also...
Accelerates releases
Impact analysis in seconds. Ship weekly instead of quarterly.
Makes AI controllable
AI writes specs, machines verify. Auditable by design.
Automates compliance
Audit trails generate themselves. Every decision explainable.
Extracts legacy knowledge
Understand old systems. Prove migration equivalence.