For agents

Imandra products give coding agents reasoning and formal verification — a deep, machine-checked understanding of program behaviour and outcomes, not just generated text.

Products

  • CodeLogician — Logical reasoning for AI coding agents.
  • ImandraX — Foundational infrastructure for AI reasoning.
  • SpecLogician — Discover and refine mathematical models of your software.
  • IPL — Mathematical models of complex APIs.
  • Ponens — Keep up with your AI-generated code. (for agents; pip install ponens)
  • Imandra Universe — The ecosystem for logic-first AI (accounts, API keys, billing).
  • Imandra — Reasoning as a Service — AI reasoning where correctness matters most.

When to use which

CodeLogician

  • Coding-agent edge cases and what the code can actually do
  • Formalizing and analyzing agent decisions before you ship

ImandraX

  • Theorem proving, IML, and cloud-native automated reasoning
  • Region decomposition — exhaustive analysis of all possible behaviours
  • Proving code correct and synthesizing counterexamples

SpecLogician

  • Building a semantic model from requirements, code, tests, logs, or traces
  • Verification, change analysis, and test generation from that model

IPL

  • FIX and connectivity specifications turned into precise API models
  • Edge cases that prose specs leave ambiguous

Ponens (for agents)

  • Turning an agent session into a reviewable reasoning trace
  • Goal contracts, declared gaps, and policy gates before merge

Imandra Universe

  • Accounts, API keys, billing, and team workspaces
  • Signing up for Imandra products

Imandra

  • Company, government, financial-services, and markets overview
  • Press, contact, and product landscape