SymphonyAI is collaborating with Microsoft to bring predictive, generative and agentic AI to the industrial edge with Azure IoT Operations. On premises, edge-based AI will allow manufacturers to optimise operations, predictive maintenance, and AI-driven manufacturing.

The collaboration with Microsoft incorporates SymphonyAI’s industrial data connectivity, contextualisation, and Manufacturing Workflow Intelligence capabilities for AI-based insights at the edge.

In addition, SymphonyAI’s Industrial DataOps platform IRIS Foundry adds agentic AI workflows and industrial vertical templates for manufacturers.

IRIS Foundry is tailoring its application ecosystem with specialised templates and data models for asset and process digital twins for petrochemicals, specialty chemicals, food processing, glass, cement, oil & gas, and utilities. These capabilities apply agentic AI and industry-specific templates for major operations and maintenance functions to optimise performance across multiple process industries.

“IRIS Foundry combines industry-leading predictive, generative, and now agentic AI in a powerful industrial data operations platform 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. “By extending IRIS Foundry to the edge, we are taking bold strides to profoundly and meaningfully simplify our customers’ operational transformation with trusted predictive and generative AI solutions at scale.”

“Extending SymphonyAI’s capabilities from the cloud to the intelligent edge enables manufacturers to accelerate their ability to unlock value from industrial AI,” said Dayan Rodriguez, Corporate Vice President, Manufacturing and Mobility, Microsoft. “Built on Microsoft Azure AI, and Azure Kubernetes Services, SymphonyAI edge deployment provides manufacturers the capabilities and flexibility needed to help our customers optimise processes, improve asset performance, and unlock actionable insights at each site and for the enterprise.”