imandra-ai

imandra-ai

Imandra provides neurosymbolic AI tools (notably CodeLogician and ImandraX) that translate source code into formal mathematical logic to verify, analyze, and justify program behavior for high-assurance applications such as financial infrastructure and autonomous workflows.

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Freemium Enterprise
#34 in Coding (34 tools)
Added 0 year ago
Data reviewed Jul 16, 2026

Quick Overview

Best for: Coding

What it does

Coding software for decision-makers comparing workflow fit and alternatives.

Best fit

Coding

Pricing snapshot

Freemium from $25/month (free for the first 7 days)

Next step

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imandra-ai

Imandra offers neurosymbolic AI tooling—most prominently CodeLogician and ImandraX—designed to translate source code into formal mathematical logic and produce a MetaModel representing an entire project's behavior. The platform emphasizes rigorous logical reasoning combined with statistical AI to enable provable correctness, deep program analysis, automated test-case generation, and verification suitable for regulated or high-assurance domains.

Imandra targets professional and enterprise use cases such as financial infrastructure and autonomous workflows, and positions its technology as a way to augment LLMs with formal reasoning to close significant accuracy gaps in software analysis and edge-case detection.

Imandra provides a Reasoning as a Service® platform for logical reasoning in AI systems.

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Key Features

CodeLogician: source-to-logic translation

Translates source code into precise mathematical logic to create a formal model functionally equivalent to the original code.

MetaModel construction

Analyzes project files and dependencies to construct a single MetaModel that represents the entire project's behavior.

Formal reasoning and verification

Uses reasoning tools to prove deep properties of programs, uncover hidden bugs, and mathematically verify correctness of behaviors.

Automated test-case generation

Automatically generates rigorous test cases and quantitative metrics derived from formal models.

Neurosymbolic augmentation for LLMs

Combines LLM creativity with symbolic reasoning to provide a complete context and verifiable logical audit trail for AI coding assistants.

Region decomposition benchmark and results

Provides a benchmark demonstrating that augmenting LLMs with formal reasoning (via CodeLogician) substantially improves accuracy for software reasoning tasks.

Pricing

Free Tier Available

Free for the first 7 days (trial period on Builder plan).

Builder (Most Popular)

$25/month (free for the first 7 days)
  • Built for individual builders
  • Predictable usage

Pro

$129/month
  • For advanced users
  • Heavier reasoning workloads

Team

$799/month
  • Collaboration and scale
  • For teams shipping reasoning systems

Use Cases

Financial infrastructure

Apply formal verification and machine-readable connectivity to trading venues and financial systems (examples and customers include exchanges and banks).

Autonomous workflows and high-assurance systems

Verify correctness and edge-case behavior for autonomous systems and workflows where rigorous guarantees are required.

AI-assisted coding with verifiable outputs

Augment coding assistants (examples: Cursor, Codex, Claude, Gemini) with CodeLogician to detect edge cases, generate provable test cases, and plan verified code changes.

Software analysis and edge-case detection

Use formal models to exhaustively reason about program behavior, edge cases, and decision boundaries that LLM-only approaches may miss.

Document and contract analysis

Demonstrated use in M&A term sheet analysis by combining LLMs with Imandra's verification to prove contractual safeguards.

Integrations

LLMs (Codex, Claude, Gemini)

Demonstrated integrations combining Imandra tools with LLMs for reasoning-enhanced code analysis and demos.

Cursor

Example integration used in a finance case study to augment AI-assisted coding with formal verification.

Antigravity (demo)

Shown in a demo combining Imandra with Gemini and Antigravity for edge-case detection of AI-generated code.

Benefits

Produces verifiable, mathematical proofs of program behavior to increase trust and reduce guesswork.
Detects edge cases and hidden bugs that LLM-only approaches can miss.
Enables regulated-industry workflows by providing an auditable logical trail and formal verification.
Scales AI-generated software quality by combining LLMs with symbolic reasoning to improve reasoning accuracy.

Limitations

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Frequently Asked Questions

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Getting Started

  1. 1 Step 1: Visit the Imandra website and select 'Start Now' or 'Sign Up'.
  2. 2 Step 2: Choose a plan from Imandra Universe (Builder, Pro, Team) — Builder includes a 7-day free period.
  3. 3 Step 3: Integrate CodeLogician/Imandra tools into your AI coding assistants or development workflow and consult the Docs for usage details.

Support

docs

Documentation accessible from the Docs link on the website.

forum

Community forum referenced in the site header for discussion and support.

contact

Contact Us link on the website for inquiries and data deletion requests.

API

Available: No

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