Bringing precision and rigour to trading system connectivity

Key Functions


Verifies correctness and stability of system designs for regulatory compliance


Uncovers nontrivial bugs in code and documentation


Creates high-coverage test-suites

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Empower with Precision

With Imandra, major recent advances in formal verification are at your fingertips. Use Imandra to analyse your algorithms and radically improve design, development, and regulation.

Research is the heart of what we do. This section showcases evolving technologies from our R&D engineers. From academic publications to new Imandra prototypes, join in the excitement as our new scientific results graduate into powerful products.


Imandra EVM:  A formal model of the Ethereum Virtual Machine

Imandra-based formal model of the Ethereum Virtual Machine (EVM). We’ve made the model open source under the Apache 2.0 license. It’s the first public entry in our community models repository.

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Isabelle Language Server Protocol and VSCode Integration

Bringing the power of Isabelle’s Prover IDE to the open-source VSCode and Language Server ecosystems. Part of our broader Imandra Universe effort for collaborative formal verification in the cloud.

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We have had the pleasure of working with

About AI

Aesthetic Integration (AI) is a financial technology startup based in the City of London.

Created by leading innovators in software safety, trading system design and risk management, AI’s patent-pending Imandra formal verification technology is revolutionising the safety, stability and transparency of global financial markets.

Denis Ignatovich

Denis Ignatovich

Denis Ignatovich has over a decade of experience in trading, risk management, quantitative modeling and complex trading system design. Prior to joining AI, he was head of the central risk trading desk at Deutsche Bank London. He holds an MSc in Finance from the London School of Economics and degrees in CS and Finance from UT Austin.

Grant Passmore

Grant Passmore

Grant Passmore has more than ten years’ industrial formal verification experience. He has been a key contributor to safety verification of algorithms at Cambridge, Carnegie Mellon, Edinburgh, Microsoft Research and SRI. He earned his PhD from the University of Edinburgh and is a Life Member of Clare Hall, University of Cambridge.

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