Case Studies

Machine learning in whisky identification and verification

We worked with the Scotch Whisky Research Institute (SWRI) using data analytics to tackle counterfeiting across the sector.

Using image recognition to identify vortices for vehicle design

We worked with TotalSim – an aerodynamics and CFD company – to understand vortex formation in Formula One cars and improve aerodynamic performance.

Understanding drug toxicity through gene expression

We worked with Syngenta – a leading agricultural and biotechnology company – to design bioinformatics tools for high throughput screening of candidate compounds.

Picking the right healthcare app – the data science way

The Hartree Centre assisted healthcare app evaluation specialists ORCHA in exploring data-driven approaches to speed up the review process and enable more sustainable business growth.

Using blockchain for greater finance transparency

As part of the ERDF-funded LCR 4.0 programme, we helped peer-to-peer car finance company BLOCKTRACK to turn an idea into a demonstrator, enabling the adoption of a novel technology.

Improving energy efficiency across water treatment plants

We worked with South West Water using data science and machine learning techniques to improve the energy efficiency and performance of water treatment plants through STFC’s Bridging for Innovators funding programme.

Using big data to streamline early stage drug development

We’re part of ADDoPT; an academic-industrial knowledge base collaboration with the UK pharmaceutical industry to accelerate advanced digital design techniques and streamline development.

Boulder detection from seabed sonar images

We worked with hydrographic survey company Bibby Hydromap, using computational deep learning techniques to automate and accelerate the process of labelling boulders in sonar images.

Speeding up data ingestion for property surveying

We helped Chartered Surveyors Roberts Vain Wilshaw to automate the integration of new data into their technology stack, freeing up valuable staff time and generating a competitive advantage over less efficient manual approaches.