Predictive analytics for winners not players
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
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
Remi Bardenet
CNRS Researcher, University of Lille
Lloyd Elliott
Postdoctoral Researcher, University of Oxford
Ascanio Sanseverino
MSc Machine Learning, UCLondon
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 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 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
Predict which field engineering activities impact CSAT most – move to top of CSAT table & meet regulatory targets and related revenue allowances
contact swhere
interested in working together? get in touch!
contact swhere
interested in working together? get in touch!
Our Office
Ground floor,
2 Kingdom Street,
London W2 6BD
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