Harnessing mathematics, the Smith Institute specialises in solving complex tactical and strategic problems for businesses, governments and organisations.
With over twenty years’ experience, our expertise lies in the following areas: decision making under uncertainty, forecasting for energy models, spectrum optimisation, strategic consultancy and research management and optimisation models.What we do
We work with a mix of clients and industrial sectors
Mathematics underpins everything we do because we understand its versatility — Our data modelling and analysis enhance business strategies and accelerate growth across all sectors.
The Smith Institute has recently been involved in successfully delivering the most complicated spectrum repacking exercise ever undertaken, in the US Broadcast Incentive Auction.Read case study
Smith Institute helped G's Growers make the best use of increasing volumes of collected data and formulate better decisions to optimise production and minimise waste of Iceberg lettuce crops.Read case study
The Smith Institute organised 26 events, established 24 collaborative projects and created a network of over 1,000 people, including representatives from more than 100 companies and government departments.Read case study
The Smith Institute created innovative predictive models to provide National Grid with greater visibility of type and behaviour of the embedded generation that is connected to the distribution networks and help to manage electricity system more efficiently and securely.Read case study
For Coca-Cola European Partners (CCEP), predicting how the weather influences customers’ choices is critical to understanding underlying category performance.Read case study
With unparalleled expertise in spectrum auctions worldwide, the Smith Institute created a bid reconstruction tool for Vodafone in preparation for the 2015 Indian multi-band spectrum auction.Read case study
The Smith Institute helped the National Grid to conduct an independent review of the technical basis of the 1 in 20 peak demand forecasting.Read case study