Industrial
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Batch variability, feedstock swings, and razor-thin margins leave no room for generic AI that needs months to learn your process. IRIS Foundry arrives pre-trained on chemical manufacturing — connecting DCS, LIMS, historians, MES, and ERP data — so your team gets from raw signal to corrective action in weeks, not quarters.
From batch drift to fragmented plant data, IRIS Foundry addresses the real operational pressures in chemical manufacturing.
Process and batch consistency
Detect drift in temperature, pressure, and reaction time before it produces an off-spec batch, cutting scrap and rework without slowing the line.
Quality and specification control
Catch deviations against tight product specifications in real time, using AI models trained on your process data, not generic defect libraries.
Asset reliability
Predict failures on reactors, compressors, pumps, and heat exchangers before they force an unplanned shutdown or safety event.
Energy and resource costs
Optimize thermal cycles and utility consumption across batch and continuous operations, reducing energy and raw material waste without compromising throughput.
Fragmented operational data
IRIS Foundry unifies DCS, LIMS, historians, MES, and ERP data into one governed, real-time view, replacing the manual reconciliation that slows root cause analysis.
Skills gaps and workforce
AI copilots and guided work instructions put process expertise in front of every operator, so tools fit existing workflows instead of fighting them.
Pre-built on IRIS Foundry and Forge—deploy the use cases you need, add more as you scale. Select an app below to see a demo.
Batch and specification control
Hold tighter specs automatically — AI models flag drift against target chemistry in real time, reducing scrap, rework, and off-spec batches.
Predictive maintenance for reactors and rotating equipment
Predict failures on reactors, compressors, pumps, and heat exchangers using unified machine health data and remaining useful life modeling.
AI vision for quality and contamination detection
Deploy AI-powered vision and sensor fusion to catch contamination, color deviation, and packaging defects in real time — protecting product integrity at line speed.
Thermal and reaction process stability
Stabilize exothermic reactions and thermal cycles with AI-driven process control — forecasting drift and holding safety and quality parameters every batch.
Energy and utility optimization
Reduce energy and raw material consumption across thermal and separation processes without compromising throughput or compliance.
Unified plant data foundation
Connect DCS, LIMS, historians, MES, and ERP into one governed data layer, eliminating the manual reconciliation that slows every other use case.
Root cause analysis and downtime reduction
AI-powered root cause analysis identifies the source of production events and quality deviations in real time — cutting mean time to resolution and reducing unplanned downtime.
Digital twin and process simulation
Model reactors, distillation columns, and batch or continuous lines with digital twins for throughput simulation, layout validation, and scenario planning.
