Now in production

Prove AI code works
before you ship

Blind testing methodology that prevents AI from gaming your tests.
Define properties. Get verification.

See it work
$pip install crystallize
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Tests passing
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Projects verified
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OWASP checks
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Analysis time

Why crystallize?

Traditional testing lets AI see the tests. We use blind validation so AI can't cheat.

Blind Testing

Properties hidden from AI during generation. It can't game what it can't see.

Zero Config

OWASP presets catch security issues out of the box. Just run check.

Multi-Domain

Safety, security, efficiency, functionality. Four validators in parallel.

Property-Based

Define invariants, not examples. Hypothesis finds edge cases automatically.

Equivalence

Verify translations preserve behavior across implementations.

Formal Proofs

Z3 SMT solver for mathematical proofs when testing isn't enough.

See it work

Real output from production codebases

clean code
vulnerable code

Built for real workflows

AI Code Review

Catch security issues in AI-generated PRs before they merge.

$ crystallize check ./src --preset owasp

COBOL Translation

Verify legacy code translations preserve numeric precision.

$ crystallize equiv source.cob target.py

API Contracts

Define response schemas as properties. Verify implementations.

$ crystallize init --lang api

Performance Gates

Set latency bounds. Fail builds that regress.

$ crystallize benchmark src.py target.rs

Ready to ship with confidence?

Stop trusting AI blindly. Start proving it works.

pip install crystallize