Enterprise AI SaaS SymphonyAI has launched an industrial data operations platform for rapid creation of digital industrial applications. IRIS (Industrial Reasoning and Insights Service) Foundry uses open, composable AI-enabled data contextualisation at enterprise scale.

IRIS Foundry provides industrial data management building blocks for AI-embedded manufacturing solutions. Prebuilt connectors extract data from IT, OT, and enterprise data sources into polyglot dataops storage to ensure versatile handling and integration of multiple data contexts. It provides a low-code, drag-and-drop user experience and integration with programming tools.

Data is organised into a structured asset hierarchy using AI-powered P&ID ingestion or through an existing asset historian framework. This process, enhanced with sophisticated contextualisation services, automatically maps data into a unified namespace. The result is a dynamic industrial knowledge graph, simplifying access to and navigation of information. The IRIS Foundry knowledge graph provides enriched analysis and insights, powering IRIS copilots for user-based interactions and exploration of complex data landscapes.

“Safe and reliable operations are critical to providing our customers with an uninterrupted supply of the materials they need to run their business while keeping our costs competitive. Using predictive AI models from SymphonyAI integrated with critical data sources, we have already been able to proactively detect anomalies and prevent unplanned stoppages,” said Ben Engels, Reliability Manager for Nippon Gasses. “With the release of IRIS Foundry, we are excited about the simplicity this will bring to expand the benefits of a flexible, integrated AI platform to additional equipment and sites.”

“IRIS Foundry is a powerful industrial data operations platform designed to transform the way industries manage and use their data for real-time AI-powered insights, optimised operations, and decision-making processes,” said Prateek Kathpal, president of SymphonyAI’s industrial division. “With IRIS Foundry, we are taking bold strides to profoundly and meaningfully simplify our customers’ operational transformation with trusted predictive and generative AI solutions at scale.”

Advancing SymphonyAI’s multifaceted relationship with Microsoft, IRIS Foundry, built on Microsoft Azure, brings contextualised industrial data into Microsoft Fabric to accelerate the convergence of the IT and OT data landscape at enterprise scale. Additionally, to increase value-capture from contextualised industrial data, IRIS Foundry’s role-based industrial copilots integrate Azure OpenAI Service, allowing manufacturers to swiftly identify, diagnose, and overcome operational hurdles with targeted corrective and mitigating actions.

“With industrial domain expertise, SymphonyAI’s IRIS Foundry enables faster access to contextualised industrial data across the enterprise,” said Indranil Sircar, CTO, Manufacturing at Microsoft. “Built on Microsoft Adaptive Cloud, Azure AI and interoperable with Fabric, IRIS Foundry’s predictive and generative AI use cases such as improving asset performance, process optimisation, and energy efficiency extend beyond the factory to the enterprise.”

In conjunction with its productised generative and predictive AI capabilities, underlying large language model, and role-based copilots, IRIS Foundry offers ready-to-deploy-and-use domain models for a wide range of manufacturing industries.

“As AI and ML rapidly converge with industrial data operations, combining sophisticated predictive AI and unified, trusted datasets is foundational. Generative AI, with role-based copilots, provides an interactive experience for users to generate instant insights and take targeted actions,” said Sebastian Trolli, Research Manager & Global Head of Industrial Automation at Frost & Sullivan. “Data operations in IRIS Foundry and SymphonyAI’s deep industrial AI expertise are in a unique position to give industrial users a clear path to intelligent operations with profoundly transformational business impact.”