Our aim was to make models for clients to solve their business needs. We started with mathematical optimisation, focusing on infrastructure investment decision support and logistics.

We were commissioned by both Thames Water and Affinity Water to develop EBSD water investment models to support their regulatory submissions. Another highlight from that year was taking on 2 employees – Dan and Kevis (still a Decision Lab associate).

We were commissioned by both Thames Water and Affinity Water to develop EBSD water investment models for each of them that were used to support their regulatory submissions. Another highlight from that year was taking on 2 employees – Dan and Kevis (who is still a Decision Lab associate).

We were commissioned by both Thames Water and Affinity Water to develop EBSD water investment models for each of them that were used to support their regulatory submissions. Another highlight from that year was taking on 2 employees – Dan and Kevis (who is still a Decision Lab associate).

We built up our presence in the defence sector, particularly through our development of the ARTEMIS medical evacuation model for the Defence Science and Technology Laboratory (Dstl) and supporting Babcock International in optimising some of their systems and operations.

We launched a new team specialising in data science and machine learning, which immediately started working with Rolls-Royce’s Airline Data Centre to try to predict airplane component failure.

We won a Defence and Security Accelerator (DASA) project on AI-based prediction of asset failure onboard military jet fighters and naval warships. This was taken forward by the Royal Navy and was delivered to the Navy Digital Services.

We won 5 separate competitive hacks. This including our novel machine-learning based ice formation prediction capability for aircraft winning the inaugural UK-Canada AI challenge. We also were awarded Runner Up in the OR Society’s President’s Medal.

We won the opportunity to provide Babcock a tool to manage the maintenance and investment in their Devonport Dockyard facility. Our risk-based CHARM model had its origins in our power and canal infrastructure, making it extremely flexible.

We became the leading developer of AI models within Dstl’s multi-million-pound Intelligent Ship project. And in water, we developed the next-generation optimisation model for water investment, which will support multiple water companies’ regulatory submissions.

This year we became an Autonomous Systems Partner of this tech giant, working with their low-code DRL tool Project Bonsai – a disruptive leading-edge AI that can empower businesses in numerous domains.