From prototype to pilot — real engineering challenges and the measurable results we achieved.
Defect reduction in QC pilot
Throughput efficiency gain
Labour cost reduction target
Validated projects completed
A manufacturer was experiencing high escape defect rates through manual visual inspection. We implemented a convolutional neural network (CNN) based machine vision system integrated directly into the production line.
The system runs at production speed with zero false-stop rate, replacing three manual inspection stations.
An industrial operator was suffering frequent unplanned downtime costing significant production hours per month. We deployed a network of vibration and thermal sensors with ML-based fault prediction models.
Maintenance became scheduled rather than reactive, eliminating emergency call-outs entirely during the pilot period.
Designed and built an autonomous lawn maintenance platform from the ground up — from mechanical design through sensor integration, SLAM navigation, and remote fleet management software.
Field trials in residential and commercial settings validated core navigation, obstacle avoidance, and battery performance against spec.