The following are some highlights of the projects we our team have supported across government and industry.
Helicopters Study
Our training specialists were involved in this early stages of a multi-national initiative to deliver improved helicopter capability across Europe.
The team supported early stage training studies, gap analysis and high level planning. During the implementation phase our technical architects developed the requirements and identified key technologies required for rapid deployment.
Targeted Fidelilty Simulator
Our technical specialists developed the requirements, defined the architecture and identified the technologies for this targeted fidelity simulator developed for the UK Government.
The work set out to determine the best approach to deploying COTS software and hardware to deliver the future tactical training systems to support distributed training for aircrew. The work has subsequently been used to validate the approach on leading UK programmes, as well as supporting work through their partners.
EU Microsimulation model
Developed as part of a PhD project, this microsimulation model was developed to determine what interdependencies different economic policy changes across EU governments might exist. The model allowed policymakers to conduct what-if scenarios to determine the best policy mix to address social and economic challenges.
The use of microsimulation models has applications not just in economics, but also for any large scale, complex system that we might find in Government.
Training Data Analytics
As part of the development of a new training data capture and analytics sold, our team have been supporting the integration and customisation for a number of Government exercises.
This approach is delivering a step change in capability for training data analysis, as well as an architecture to capture and store training data so it can be used for predictive analysis and shaping of training requirements.
Natural Language Models
Our team were involved in a large project within a major Pharmaceutical manufacturer to deliver a generative AI tool trained on proprietary data sets held by the organisation.
The project allowed clinicians and managers to ask the system for insights into the vast quantities of data held across the organisation, that search engines would not be able to deliver. The team had to consider security access level, compartmentalisation and anonymisation of personal data to deliver this project.