Explore the engineering behind tomorrow’s business opportunities. We investigate emerging technologies, build practical prototypes and test what it takes to turn a promising idea into real-world value.
Engineering the possibleFrom physical sensing to intelligent workflows, our lab makes complex technologies tangible. Projects are clearly labelled as prototypes in development or proposed demonstrations.
Exploring how contactless radar sensing and edge processing can detect presence and movement, and support investigation of possible fall events.
A planned example of AI agents retrieving trusted information, coordinating business tasks and seeking approval before important actions.
A planned demonstration combining equipment data streams, anomaly detection and forecasts to support earlier operational decisions.
We follow technologies that could reshape how businesses operate. Research themes inform new experiments and partnerships; they are not claims of finished products.
Intelligence that operates near sensors, devices and real-world environments with fast local processing.
Combining radar, vision and connected devices to better interpret events beyond any single sensor.
Using digital environments and controlled experiments to study robotics, optimisation and adaptive behaviour.
Testing how autonomous workflows can remain reliable, explainable, auditable and under human control.
Our emphasis is on practical feasibility, measured performance and safe integration—not technology trends alone.
The Innovation Lab explores whether an idea works within defined conditions. We document both what succeeds and what needs improvement, then decide whether a broader pilot is justified.
See our AI Product Delivery FrameworkA proposed approach with assumptions to investigate and initial feasibility questions to resolve.
A demonstrable technical system with documented tests, constraints and unresolved risks.
A solution evaluated in an appropriate real-world setting with verified outcomes and permission to publish.
Let’s identify the critical assumption, design a practical experiment and establish what evidence would justify the next step.
