CodeLogician™ helps coding assistants
think logically
CodeLogician™ applies neurosymbolic AI to translate source code into precise mathematical logic, striving to create a formal model of the program's behavior that's functionally equivalent to the original source code. This model can then be analyzed with its reasoning tools to prove deep properties, uncover hidden bugs, and automatically generate rigorous test cases. Projects typically consist of many different files, so CodeLogician™ analyzes their dependencies and constructs a single MetaModel that represents the entire project. AI assistants then use CodeLogician and the MetaModel to:
- Ask deep questions about behavior of code
- Generate test cases with quantitative metrics
- Plan changes to the source code and verify their correctness
Turbocharge your vibe coding
Famous problems
with using stats-only AI:
• It's only as good as the data it's been trained on
• No logical audit trail or independently-verifiable claims
• Very difficult to apply in regulated industries
Stats-only AI coding:
CodeLogician:
- •
Brings rigorous logical reasoning to software development
- •
Scales beyond trained data
- •
Uses techniques relied upon in highly regulated industries
Stats-only AI coding:
- •
It's only as good as the data it's been trained on
- •
No logical audit trail or independently-verifiable claims
- •
Very difficult to apply in regulated industries
Want to know the details of how CodeLogician works?
Available plans
Select a plan that scales with your automated reasoning needs, from building AI agents with reasoning skills to deploying enterprise-grade formal verification. No credit card required.
Free
Everything you need to get started. No credit card required.
Essential
Most PopularRoom to explore and build.
Growth
Added flexibility at scale.
Enterprise
Tailored plans for large teams with custom pricing and dedicated support.
