Our Technology

Our deep learning technology, Alchemite™, originated in the work of Dr Gareth Conduit and his collaborators at the Cavendish Laboratory – the Physics Department of the University of Cambridge. The Intellegens team further developed the technology and continues to push it forward, based on the requirements of our customers.

Alchemite™ trains deep neural networks to provide a unique combination of capabilities.

Our White Paper Alchemite™ Deep Learning and the recorded webinar “Impossible journeys in 15 dimensional space” both give a good introduction to the Alchemite™ technology.

READ WHITE PAPER

VIEW RECORDED WEBINAR

A unique combination

Value from sparse, noisy data

A self-consistent, iterative algorithm imputes sparse data. This enables Alchemite™ to solve real-world problems that are not accessible to traditional machine learning.

Start fast

Alchemite™ generates a model from the available data that you can then refine and apply. There is minimal need for data cleaning and model setup, removing the high dependence on starting assumptions that is typical of many methods.

A global view

Alchemite™ works across all available information to extract useful knowledge. This supports a global view (e.g., considering both ingredients and processing for a formulation), finding relationships that humans may miss.

Rational decisions

Alchemite™ offers advanced uncertainty quantification based on nonparametric probability distributions for many properties simultaneously. You can more reliably identify the experimental route most likely to succeed, focusing your time and effort based on a rational business case.

Optimise multiple targets

Alchemite™ can generate new solutions (for example, a formulation design) that satisfy multiple targets simultaneously - or identify the next experiment to add most value to a discovery project. It does this even when the training data is sparse and noisy.

Scale up to large problems

Computations have a light memory and CPU footprint, so not only is Alchemite™ lightning fast, it can handle huge databases (where necessary).