Spatial computing company, Hadean, have been awarded competitive funding by the Defence and Security Accelerator (DASA) to develop and scale a complex and representative synthetic human terrain for British Army simulations. This will take the form of a contract with the Defence Science and Technology Laboratory (Dstl).
The project aims to enhance military training in land environments by populating scenarios with meaningful ‘Pattern of Life’ behaviours and services, such as local leaders, military, government agencies, NGOs, media and industry. This capability, implemented as part of the Hadean AI-powered spatial computing platform, represented as a real-time social media hub within the LVC (Live, Virtual and Constructive) environments, will seamlessly integrate AI models to deliver a configurable and consistent representation of A3E behaviours (Audiences, Actors, Adversaries and Enemies).
Supported by a Large Language Model (LLM) at its core, it will use AI to understand the evolving context during an LVC training exercise, causing the simulated A3ES to respond dynamically to the details of the actions of the trainees. These in turn will cause reactions and prompt training personnel to adjust their approach and tactics, effectively bridging the physical and virtual worlds through real-time interactions.
Secure-by-design and interoperable, the social media tool will be able to integrate with both current and novel training systems to enhance their potential for impactful training. In combination with AI-powered data exploitation capabilities, it will also generate an After Action Review dashboard to help commanders identify weak points and improve their future performance.
This competition is funded by the British Army in support of the Army Collective Training System (ACTS) and represents Hadean’s continued direct-to-government engagement in support of the programme. It builds on the recent delivery of a pathfinder contract which helped validate a spatial compute platform approach for the Army by developing a cloud-native simulation and deploying it in an austere environment in Kenya to support LVC training operations and after action reviews.
Development is set to begin this winter and is scheduled to be completed in 2024.