Augury announced plans to develop the Industrial AI Workforce. Built on top of Augury’s Machine Health solution, new role-based AI agents are designed to bridge the gaps between insight to action for manufacturers.
"Augury has built a reputation helping global industrial leaders master asset reliability through world-class Machine Health insights," says Elan Greenberg, CEO of Augury. "Now, it’s time to evolve from visibility to delivering an agentic offering that proactively supports the people running these plants."
Key takeaways:
· By synthesizing Augury’s Machine Health data with operational context from AVEVA CONNECT and the advanced reasoning of Google’s Gemini models, manufacturers can now build self-optimizing, adaptive production environments.
· At the core of the Industrial AI Workforce is the Industrial Context Graph, a dynamic, continuously evolving enriched context layer that connects machine health signals with operational, process, and environmental data. This unified context enables agents to reason cognitively about cause-and-effect relationships across the production system, not just within individual machines.
· The Industrial AI Workforce is built on Google Cloud as part of Augury's Independent Software Vendor (ISV) partnership, with Gemini models enabling the reasoning layer.
“By combining Augury’s Machine data with AVEVA’s operational context and Gemini’s reasoning capabilities, we’ve created a foundation with an Industrial Context Graph powering intelligent industrial agents,” says Anoop Mohan, chief product and technology officer at Augury. “This allows us to move beyond detecting problems to understanding them and guiding action in real time. We are incredibly grateful to our partners at AVEVA and Google Cloud and visionary customers like ICL who have embraced these agents and are working closely with us to bring this vision to market.”
