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How CrossnoKaye grounds physical AI with Amazon Bedrock AgentCore

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How CrossnoKaye grounds physical AI with Amazon Bedrock AgentCore

Industrial operations present AI challenges that don’t show up in typical enterprise software. In most facilities, plant data and control logic are spread across separate systems from different vendors: programmable logic controllers (PLCs) and distributed control systems (DCS) run the equipment logic, historians record time-series tags under site-specific naming schemes, supervisory control and data acquisition (SCADA) systems drive operator screens, and standalone optimization tools or alarm loggers sit on the side. Bolting an external AI agent onto that stack rarely works well in practice. Each system uses its own naming conventions. The logic that actually governs how equipment behaves (the control sequences, state machines, and safety interlocks) is locked inside proprietary controller code that an external tool can’t inspect. Giving a bolt-on agent access across multiple operational technology (OT) systems also means distributing credentials across the plant network.

CrossnoKaye took a different approach to bring physical AI to heavy industry using Amazon Bedrock AgentCore . Its software-defined automation platform, ATLAS, connects live plant data and AI reasoning to closed-loop control of the equipment running food and beverage plants, industrial refrigeration facilities, aggregates quarries, and manufacturing sites. Across more than 100 industrial facilities and 13,000 controlled assets, CrossnoKaye stores over 22 trillion machine data points, ingests more than 50 billion new readings every day, and runs over 1,000 live advanced process control (APC) applications; CrossnoKaye reports that these applications improve production throughput by 11–17 percent while reducing total facility energy costs by an average of 21 percent. Because ATLAS already manages the facility model, the base control software, the historian, and the optimization applications in one platform on AWS, CrossnoKaye’s agentic intelligence system, AURA, has native access to the full operational state of the plant within a single security boundary.


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