Ideas Lab
Every system starts as an idea. This is where ideas are captured, evaluated, and evolved through a structured pipeline before becoming projects, research, or tools.
Using sensor networks, flow meters, and AI to detect water leaks, monitor infrastructure health, and reduce losses across national distribution networks.
Reducing water loss by 20–40% in national networks through predictive leak detection.
Real-time vibration analysis and anomaly detection for industrial machinery — predicting failures before they happen using edge-deployed ML models.
Reducing unplanned downtime and maintenance costs in manufacturing facilities.
A structured graph database connecting engineering decisions, their rationale, outcomes, and lessons learned — an organisational memory for engineering teams.
Multi-variable ML model integrating soil sensors, weather APIs, satellite imagery, and historical yield data to forecast crop output with 2-week lead time.
Mobile robot for autonomous soil sampling, in-situ analysis, and GPS-tagged field health mapping. Parked pending hardware availability.
A structured methodology for applying scientific reasoning to everyday engineering decisions — formalising hypothesis formation, testing, and evidence evaluation.