At the vanguard of predictive analytics

UK technology company Featurespace is pioneering the next level of data analysis: Adaptive Behavioural Analytics. We combine the very latest research in statistics and data analysis with a unique method of modelling human behaviour. Featurespace’s core ARICTM technology is a revolutionary approach to accurately predicting the behaviour of individuals and dynamic groups of people, in real time.

Featurespace has deployed a series of award-winning products for fraud and risk management, as well as customer insight and retention, and is recognised as an industry authority on responsible gambling and player protection. This is why Featurespace is the world leader in Adaptive Behavioural Analytics.

 

 

“This is different. This is really different. People are aware of Featurespace now. I think Featurespace can play in the space of the traditional fraud suppliers—and businesses don’t need to supplement those decision engines: they need to replace them.”

Luke Reynolds, Commercial Director of Fraud and ID, Callcredit

“It is not an exaggeration to say that Featurespace’s clever algorithms and analytics may have the potential to change the way whole industries interact with their customers. The company is another exciting example of British technology and its potential to change the game.”

Tim Luke, special business adviser to David Cameron

“We asked Featurespace to do some predictive modelling for us of some customer behaviour which we thought was, well, inherently unpredictable. We expected failure but then we saw the model they created from our sample data, and the accuracy of its predictions. It was both powerful and a little bit spooky. These are dangerously smart people. You really want them on your side.”

Charles Cohen, GTECH Vice President, Mobile

“This is the first company that has given us meaning and actionable insights into our customers. Featurespace’s unique approach to predicting customer behaviour has been chosen to help our drive to gain competitive advantage from our large and complex data bases.”

Head of Consumer Insight, IG Group

 

 

 

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