We develop governed AI systems for complex research, engineering and operational problems. These systems can draw on capabilities from our evolving FEMNO multi-agent architecture, with MNE providing the current core for independent analysis, challenge, engineering verification and evidence generation. We configure only the capabilities appropriate to each research, engineering or operational problem.

Our approach

• Define the objective, operating boundaries and human authority
• Configure specialist AI capabilities for the problem
• Use independent analysis and challenge to test assumptions and proposed solutions
• Record evidence and reasoning needed to review important outputs
• Integrate human approval at appropriate decision points
• Build secure demonstrators before operational deployment

From research question to working system

A project can begin with a research problem, engineering challenge or operational requirement. We translate that requirement into a governed AI workflow that can investigate evidence, compare options, test proposed solutions and produce reviewable outputs.

Our systems are designed to work alongside people and existing processes. Architecture, implementation methods and proprietary controls are disclosed to customers and research partners at the level appropriate to each engagement.