AWS describes CrossnoKaye's AURA industrial agents built on Bedrock AgentCore
Overview
AWS publishes a blog post on how CrossnoKaye built its ATLAS platform and AURA agent system on Amazon Bedrock AgentCore for industrial plant operations.
According to the post, AURA reads plant topology, control logic and historian data, then runs Python calculations in isolated AgentCore sandboxes that verify outputs before a conclusion is published.
The post describes AURA's Chats, Tasks and Routines features and reports results across more than 100 facilities, including investigations completing in under four minutes. These figures come from the AWS post itself, which is first-party material from Amazon and has not been independently verified.
Written by AI from the articles below · updated Nov 9, 2:38 PM ET
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The articles in this story. Times are ET.
- AWS Machine Learning BlogOfficialPickHow CrossnoKaye grounds physical AI with Amazon Bedrock AgentCore
AIAWS explains how CrossnoKaye built its ATLAS platform and AURA agent system on Amazon Bedrock AgentCore for industrial plant operations. AURA reads plant topology, control logic, and historian data, then runs Python calculations in isolated AgentCore sandboxes that verify outputs before any conclusion is published. The post also describes Chats, Tasks, and Routines, and reports results across more than 100 facilities, including investigations completing in under four minutes.
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