AI-Enabled Operations
Moving beyond 'pilot purgatory'. We deploy practical, scalable machine learning models that drive real-time operational decisions.
Operational wisdom
At industrial scale
The industrial world is awash in data but starved for wisdom. We build the "last mile" of machine intelligence.
At LOCHS RIGEL, we move beyond vague pilots to deploy production-grade AI—connecting raw telemetry from the shop floor to high-fidelity algorithms that predict failures, optimize setpoints, and automate quality control in real time. We ensure that AI is a tool for operators, not just a dashboard for executives.
AI Deployment Domains
Predictive Maintenance
Transitioning from calendar-based maintenance to condition-based interventions using vibration, heat, and power signature analysis for critical assets.
Vision-Guided Quality
Deploying deep learning models that detect micron-level defects at line speed, far surpassing manual human inspection throughput and accuracy.
Autonomous Setpoint Tuning
Reinforcement learning agents that continuously tune PID loops and process parameters to maximize yield while minimizing waste.
Demand-Sensing Forecasting
AI models that integrate external market signals with shop-floor capacity to optimize inventory buffers and production scheduling dynamics.
Industrial Data Fabric
We prioritize interoperability over vendor lock-in. Our approach builds upon open standards and agnostic architectures that ensure your operational data remains your most liquid strategic asset.