Innovation Symposium

Manual detection of anomalies in networks is complex and labour-intensive. We’ve applied AI technology that focuses on the nodes and their connections.

Explaining the decisions and inner workings of complex AI models,creating an understanding that is useful and trustworthy from a human point of view.

We can solve some of the unknowns of introducing robots into workspaces, by creating sophisticated and accurate simulations of how the robots.

We take human expertise into account via gamification and Virtual Reality and feed this into our system so it learns from ‘best practice’.

A tool that allows data scientists to understand bias and fairness imbalances to enable fairer outcomes.