By CubeFabs
Optimize process control with our generative AI system. nControl integrates factory sensor and automation data to track, monitor, and improve yields and performance. Benefits Get manufacturing processes working better, faster Increase yield and quality: Understand how different process variables affect performance metrics and discover adjustments that reduce defectivity. Avoid factory downtime: Rapidly and automatically detect the root causes of process failures. Scale R&D to production across facilities: Accelerate manufacturing process development and scale up production by automatically optimizing process settings for new production contexts. Data Warehouse Organize your factory data. Integrate data from diverse sources across the production process. Unified structured database: Combine process logs, sensor readings, and quality measurements into a single, chronologically organized database that shows how each batch evolves from start to finish. Analytics made simple: Track trends, compare performance between sites and processes, and drill down on particular batches or equipment components. Security: On-premise edge computing ensures that your data always stays with you. Streamlined compatibility: Our integrations make it easy to ingest data from leading PLC brands, protocols such as SECS‑GEM, or industrial databases. Realtime monitoring Identify and avoid process anomalies. Real-time process monitoring for early detection of production problems. Zero process downtime: nControl can be installed while your factory is operating, enabling a smooth transition to Industry 4.0. Early warning without alarm fatigue: nControl monitors for anomalous patterns in process data. So it can catch problems before traditional alarms go off — without wasting operators’ time flagging routine or transient harmless changes. Root cause analysis: nControl analyzes process data leading up to an incident to pinpoint which parts of the process may have been responsible. Realtime KPI prediction: nControl predicts quality and yield metrics in real time — so you can anticipate how a product will perform, even before it’s finished. Autonomous Control Automate process improvement. The next generation of process control: processes that optimize themselves to achieve better performance. Reinforcement learning: nControl models learn flexibly from data, generating process adjustments predicted to improve quality and productivity KPIs. Flexible, self-healing processes: Rescue quality from unexpected perturbations by adjusting the process in real time. Accelerated process development: Take the trial-and-error out of R&D by automating the search for the best-performing process. Use inspection data to improve your process
