Intellegens

Intellegens is a spin-out from the University of Cambridge with a unique Artificial Intelligence (AI) toolset that can train deep neural networks from sparse or noisy data. Their mission is to help their clients accelerate innovation by using their unique deep learning solutions to extract valuable information from existing processes and data. The technique, created at the Cavendish Laboratory, is encapsulated in Intellegens' first commercial product, Alchemite™. The cutting-edge deep learning algorithms that Alchemite™ is based on can see correlations between all available parameters, both inputs and outputs, in fragmented, unstructured, corrupt or even noisy datasets. The result is accurate models that can predict missing values, find errors and optimise target properties.

Case Studies

Showing 15 Intellegens Customer Success Stories

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Predicting pharmacokinetics with Optibrium and AstraZeneca

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Accelerating AM process parameter optimisation with machine learning

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Machine learning for virtual experiments - ink formulation

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Optimising kinase profiling programs with Optibrium and Genentech

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New alloys for additively-manufactured heat exchangers

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IFF - Customer Case Study

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Intellegens publishes peer-reviewed paper with Johnson Matthey

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Materials and process development with Lucideon

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Improving materials data quality

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Validation Study with NASA Glenn Research Center

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Understanding and improving steel performance at OCAS

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Machine learning identifies novel antimalarial compound in global challenge

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Design of a nickel-base superalloy with Rolls-Royce

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Tooling optimisation for composite drilling using deep learning

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Hardfacing welding consumables with Welding Alloys Group

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