Data is organized into a structured asset hierarchy using AI-powered P&ID ingestion or through an existing asset historian framework. This process, enhanced with sophisticated contextualization services, automatically maps data into a unified namespace. The result is a dynamic industrial knowledge graph, simplifying information access and navigation.

The IRIS Foundry knowledge graph is the foundation for enriched analysis and insights. It empowers IRIS Industrial Copilots for user-based interactions, guiding the exploration and understanding of complex data landscapes. Industrial applications built on IRIS Foundry adhere to data governance, audit, and security standards.

To adopt industrial AI, IRIS Foundry offers productized generative and predictive AI capabilities, leveraging the Industrial LLM (large language model), role-based copilots, and ready-to-deploy-and-use domain models for a wide range of manufacturing industries. Robust out-of-the-box, industrial applications use these capabilities to improve process efficiency, reduce unscheduled asset downtime, and enhance connected worker decision-making.

Additionally, IRIS Foundry offers a low-code, drag-and-drop user experience, easy integration with programming tools, and an ability to deploy in various modes ranging from SaaS to customer-hosted models in a private cloud. Built on a lightweight architecture with cloud and edge computing in scope, the install footprint is synergistic with manufacturers’ operational technology (OT), information technology (IT), and external data ecosystems.