Industrial AI that turns scattered
plant data into grounded decisions

Industrial AI collects, integrates and analyzes equipment, process and sensor data from industrial sites in manufacturing, energy and process plants to support decisions and actions. Unlike a general chatbot, it bases its answers on real site data and domain context.

Manufacturing AI is industrial AI applied to production, quality and equipment operations. Common uses include predictive maintenance that anticipates failures, quality prediction that catches defects early, and energy optimization.

AI in the manufacturing industry means applying artificial intelligence to production, quality, equipment and energy operations; it is another term for manufacturing AI. The core is integrating scattered site data so that every decision has evidence behind it.

Smart factory AI brings a plant’s equipment, process, quality and energy data together in one place so the factory can sense, predict and optimize on its own. It goes beyond simple automation: it reasons from data and proposes the next action.

Energy AI is industrial AI that analyzes power and energy data to manage consumption, quality and efficiency. Combined with an energy management system (EMS), it detects peaks and anomalies and finds opportunities to save.

An industrial AI agent answers questions with sources, reasons about causes, and proposes the next action. Refinery does this by weaving scattered data into an ontology that gives it meaning.

First, data scattered across SCADA, MES, ERP, sensors and documents has to be brought together. Refinery sits on top of existing systems as an integrated intelligence layer, or builds one where none exists, giving data meaning so AI can reason with evidence.

Refinery weaves scattered SCADA, MES, ERP, sensor and document data into an ontology to produce grounded decisions. It sits on top of existing systems or builds new ones, and supports on-premises deployment so data never leaves your network. It is proven over 30 years across more than 100 industrial sites.