Cambridge Independent. January 9, 2020
“We develop industrial formulations or recipes, like a Michelin chef,” Ben (CEO) says. “A chef mixes things up – he knows how to make it special, and that process happens in materials, it could be alloys, ceramics, polymers, batteries, plastics, drugs… you treat them in a certain way and it will result in certain behaviours. That could be to make it taste sweeter, or be more absorbent, or lighter – we help guide them to get these results quicker.”
The proliferation of Intellegens’ applications amounts to a litany of technology at the edge of science. Drug discovery, batteries, manufacturing, software and data, chemicals, materials – how does one company get to be working in so many sectors?
The company spun out of the University of Cambridge in 2017. It has created an AI-based toolset that trains deep neural networks from sparse or noisy data. The technique was initially developed at the Cavendish Laboratory and is encapsulated in Intellegens’ first commercial product, Alchemite.
Alchemite’s algorithms “can see correlations between all available parameters, both inputs and outputs, in fragmented, unstructured, corrupt or even noisy datasets”. Prediction of missing values, error-detecting and optimised target properties result in accurate models that “clear data analysis bottlenecks, reduce the amount of time and money spent on research, and support better, faster decision-making”. And all that can be based on data that is as little as 0.05 per cent complete. Incredible.
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. The technique, created at the Cavendish Laboratory, is encapsulated in Intellegens first commercial product, AlchemiteTM. The innovative deep learning algorithms that AlchemiteTM 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. Capable of working with data that is as little as 0.05% complete, AlchemiteTM can unravel data problems that are not accessible to traditional deep learning approaches. Suitable for deployment across any kind of numeric dataset, AlchemiteTM is delivering ground breaking solutions in drug discovery, advanced materials, patient analytics and predictive maintenance – enabling organisations to break through data analysis bottlenecks, reduce the amount of time and money spent on research, and support better, faster decision-making. For more information contact us here.