How CrossnoKaye grounds physical AI with Amazon Bedrock AgentCore | Amazon Web Services
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.
CrossnoKayetook a different approach to bring physical AI to heavy industry...
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