Intellegens shortlisted for Startup of the Year and Disruptive Technology – Business Weekly
The business was spun out of Cambridge University by Gareth Conduit in 2017. It has developed a unique Artificial Intelligence method for training neural networks from incomplete data sets. The technique, developed in the Department of Physics, has been applied in drug discovery and material design but as the technique is generic it can be applied to many domains where there is big, incomplete data. Cambridge Enterprise identified Intellgenes as a hot global prospect and proposed Graham Snudden (from BlueGnome) as a mentor; Graham bought in Ben Pellegrini (ex Oracle) who has in expertise in data stacks as well as commercial business environment and start-ups.
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.