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