What changed
CrossnoKaye introduced its ATLAS platform, which integrates Amazon Bedrock AgentCore to unify plant data and AI reasoning for industrial control. The platform connects live plant data and AI reasoning to closed-loop control of equipment in food and beverage plants, industrial refrigeration facilities, aggregates quarries, and manufacturing sites.
What this means in practice
CrossnoKaye's ATLAS platform manages the facility model, base control software, historian, and optimization applications in one platform on AWS. This allows its agentic intelligence system, AURA, to have native access to the full operational state of the plant within a single security boundary. AURA uses the code interpreter capability in Amazon Bedrock AgentCore to write and run Python workloads at runtime inside isolated, AWS managed microVM sandboxes, alongside Amazon Bedrock Guardrails and local edge safety controls. CrossnoKaye reports that these applications improve production throughput by 11–17 percent while reducing total facility energy costs by an average of 21 percent.
Limitations and availability
The platform is available for industrial facilities with existing PLC and DCS infrastructure, without requiring customers to replace plant hardware. ATLAS runs on-premises edge clusters and continuous cloud optimization, with AURA running inside the platform boundary on Amazon Elastic Kubernetes Service (Amazon EKS) as microservices and durable Temporal workflows. The solution is designed for heavy industry and is currently deployed across more than 100 industrial facilities and 13,000 controlled assets.
