The Imandra Automated Reasoning Framework for Capital Markets

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The Imandra Automated Reasoning Framework for Capital Markets - pair any LLM with automated reasoning (formal logic) to verify code, integrations, contracts and smart contracts (FpML, DAML), and more, recorded in the open-source Ponens system of record.

Who benefits: Capital-markets firms and their technology partners - the engineering, quantitative, risk, and compliance teams that build and operate trading, pricing, risk, settlement, venue-integration, and contract systems - who want to adopt AI and LLMs at scale while still being able to trust, prove, and evidence what that AI produces.

The need it addresses: LLMs write code and encode logic quickly but reason statistically, so they are least reliable at the edge cases and rare states where risk concentrates, and their output shifts across models, versions, and runs; contracts, protocols, and settlement logic carry the same exposure, and testing only ever samples behavior. That leaves regulated firms unable to prove, govern, or audit the AI-generated logic they now produce at scale. By grounding every LLM in formal logic and automated reasoning, the framework makes that logic provable, consistent across any model, and ready for the scrutiny of auditors and regulators - so you can align AI with your regulatory requirements.