CodeLogician™ helps coding assistants
think logically
CodeLogician™ applies neurosymbolic AIto 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.
Imandra Universe is the ecosystem through which ImandraX, CodeLogician, and other reasoning tools are delivered.
Builder
Most PopularFree for the first 7 days.
Built for individual builders who need predictable usage.
Pro
For advanced users running heavier reasoning workloads.
Team
Collaboration and scale for teams shipping reasoning systems.
Featured
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BLOX Markets selects Imandra Connectivity and CodeLogician to power machine-readable connectivity, certification, and formal verification for its Openpool U.S. equities trading venue.
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Grant Passmore Keynote: Region Decomposition - PLSE FM AI Workshop, Georgia Tech
Grant Passmore's keynote on region decomposition at the PLSE Formal Methods for AI workshop at Georgia Tech.
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Codex Meets Region Decomposition with ImandraX
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A live demo using Imandra with Gemini and Antigravity to rigorously detect edge cases in AI-generated code.
18 Apr 2026
Imandra CodeLogician & Cursor: A Finance Case Study
Denis Ignatovich and Paul Brennan walk through a real-world banking scenario of conducting bank account analysis, showcasing how AI-assisted coding via Cursor can be augmented with automated reasoning for provably correct results.
12 Feb 2026
M&A Term Sheet Analysis with Imandra CodeLogician and Claude
Denis Ignatovich and Paul Brennan build a reusable M&A advisory framework by feeding a real term sheet into Claude, then using Imandra's formal verification to mathematically prove whether critical safeguards hold.
12 Feb 2026
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