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Predictive analytics for winners not players


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Predictive analytics for winners not players


 

THE SCIENCE TO WIN

with passion for data we use state-of-the-art predictive analytics
techniques such as deep learning to extract full value from the
data your customers and assets generate

 
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our team


our unique combination of in-depth industry knowledge and second-to-none machine learning capability, allowing you to extract full value from your data with the highest possible accuracy and speed

our team


our unique combination of in-depth industry knowledge and second-to-none machine learning capability, allowing you to extract full value from your data with the highest possible accuracy and speed

globally recognised leaders in the field of machine learning,
complemented with in-depth industry experience in utility and energy sectors

Yee Whye Teh

Professor of Statistical Machine Learning at the University of Oxford

Zoubin Ghahramani

Professor of Information Engineering at the University of Cambridge

Ernst van Duijn

CEO & Founder

and a team of almost 20 data scientists including:

Alessandro Davide Ialongo
PhD Machine Learning, University of Cambridge

 

Esben Sørig
PhD Machine Learning, Goldsmith University

 

Isak Falk
MSc Machine Learning, UCLondon

 

Omiros Pantazis
MSc Machine Learning, UCLondon

Heiko Strathmann
PhD, Gatsby Computational Neuroscience Unit

 

Valery Manokhin
PhD Machine Learning, UCLondon

 

Lloyd Elliott
Postdoctoral Researcher, University of Oxford

 

Ascanio Sanseverino
MSc Machine Learning, UCLondon

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swhere in action


case examples where our software has delivered value to our clients

swhere in action


case examples where our software has delivered value to our clients

Predict wind power production to reduce imbalance costs by more than 50%

Predict wind power production to reduce imbalance costs by more than 50%

Predict likelihood to collect debt for a leading UK water retailer to reduce bad debt provision

Predict likelihood to collect debt for a leading UK water retailer to reduce bad debt provision

Predict leakage of gas pipes to improve replacement strategy to increase avoided repair costs by 100%

Predict leakage of gas pipes to improve replacement strategy to increase avoided repair costs by 100%

Predict customer contact volumes to reduce cost-to-serve and develop customer contact channel strategy

Predict customer contact volumes to reduce cost-to-serve and develop customer contact channel strategy

Predicting failure rates of underground cables and overhead lines in Power distribution sector

Predicting failure rates of underground cables and overhead lines in Power distribution sector

  Predict which field engineering activities impact CSAT most – move to top of CSAT table & meet regulatory targets and related revenue allowances

 

Predict which field engineering activities impact CSAT most – move to top of CSAT table & meet regulatory targets and related revenue allowances

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contact swhere


interested in working together? get in touch!

contact swhere


interested in working together? get in touch!

Our Office

First floor,
67-71 Shoreditch High Street,
London E1 6JJ

 
 

Contact Us

 

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