How CrossnoKaye grounds physical AI with Amazon Bedrock AgentCore

AWS Blog
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CrossnoKaye integrates its ATLAS automation platform with Amazon Bedrock AgentCore to deliver AI-driven closed-loop control in over 100 industrial facilities, improving throughput by up to 17% and cutting energy costs by 21%. Their agentic AI system, AURA, combines plant data and LLM reasoning with real-time control under a unified security framework.

What happened

CrossnoKaye integrated its ATLAS automation platform with Amazon Bedrock AgentCore to enable AI-powered closed-loop control in industrial facilities. This integration is deployed across more than 100 sites, where it manages live plant data and real-time equipment control. The AURA system, built by CrossnoKaye, combines plant operational data and large language model reasoning under a single security framework. The system operates on AWS infrastructure, allowing for continuous optimization and secure management of industrial processes.

Key details

  • ATLAS platform controls over 13,000 industrial assets in more than 100 facilities.
  • CrossnoKaye processes over 50 billion new machine readings daily and stores more than 22 trillion data points.
  • Reported improvements include up to 17% higher throughput and 21% lower energy costs at customer sites.
  • AURA uses Amazon Bedrock AgentCore's code interpreter to run Python workloads for real-time calculations.
  • The system performs about 650,000 closed-loop control actions each day.

Why it matters

Operators of industrial facilities using CrossnoKaye's platform can achieve significant gains in production efficiency and reductions in energy expenses without replacing existing plant hardware. The unified approach allows companies to manage security, data access, and process optimization in one system, reducing operational complexity and risk. This integration provides plant managers and engineers with new capabilities for real-time control and analytics, directly impacting operational costs and output.


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