Capabilities

Engineering, optimisation and data science for operational problems

We work where decisions are constrained, data is messy and the cost of getting it wrong is real. Our work spans four connected areas.

AI & Automation

Practical AI and workflow automation designed around real operational needs — from decision support to process automation and agentic workflows.

Purpose-built software for scheduling, resource allocation, operational planning and other constraint-heavy problems.

Analytics, forecasting, anomaly detection and decision-support systems that turn complex operational data into actionable insight.

Data-driven solutions for industrial operations, including condition monitoring, predictive analytics, optimisation and digital-twin-style modelling.

How we work

Understand the problem
Clarify the operational objective, the people involved, the constraints and the data available.
Model and prototype
Build a working model early, test it against real scenarios and adjust before scaling up.
Build for use
Develop the solution with appropriate access control, validation and a usable interface.
Measure and refine
Track the agreed objectives after deployment and refine the solution based on evidence.

Business, partnership and procurement enquiries are welcome.