Explore our latest breakthroughs and how they are reshaping industrial landscapes.
Deployed deep learning–based computer vision on hot and cold rolling lines to detect surface defects on steel coils in real time, integrated with existing PLC control systems.
Technologies
Impact
40% reduction in manual inspection effort and significant scrap reduction in continuous production lines.
Built a real-time analytics and optimization layer for a multi-stage manufacturing line, continuously tuning process parameters based on live quality and throughput metrics.
Technologies
Impact
Up to 12% throughput increase and 8% reduction in off-spec product across the pilot line.
Developed reinforcement learning agents that dynamically reroute power flows in distribution networks to isolate faults and maintain service during local failures.
Technologies
Impact
Simulated 45% reduction in outage duration and improved resilience to cascading failures in medium-voltage networks.
Aggregated IoT sensor streams from transformers, breakers, and busbars to perform anomaly detection and health scoring for high-voltage substations.
Technologies
Impact
Enabled condition-based maintenance, reducing unplanned interruptions by 20% in the monitored substations.
Implemented a unified predictive maintenance platform aggregating vibration, temperature, and process data from multiple plants into a shared model library.
Technologies
Impact
30% reduction in critical equipment failures and better reuse of models across plants with similar assets.
Built a digital twin of a multi-echelon supply chain to simulate demand surges, capacity constraints, and transport disruptions with AI-driven scenario planning.
Technologies
Impact
Up to 18% reduction in inventory carrying costs while maintaining target service levels in stress-test scenarios.