CrossnoKaye Deploys Physical AI on Its ATLAS Platform Based on Bedrock AgentCore
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On November 10, 2026, the AWS Machine Learning Blog published a post describing how CrossnoKaye built AURA, a physical AI system for closed-loop control in heavy industry, on its ATLAS platform using Amazon Bedrock AgentCore. According to the report, the ATLAS platform now covers more than 100 industrial facilities, controls about 13,000 assets, stores over 22 trillion machine data points, adds more than 50 billion readings daily, and runs over 1,000 real-time APC (advanced process control) applications. CrossnoKaye claims the system can increase output by 11%–17% and cut facility energy costs by an average of 21%. This is currently the only report on the event; the figures and results above are claims made by CrossnoKaye and have not yet been independently verified by third parties.
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- AWS Machine Learning BlogHow CrossnoKaye grounds physical AI with Amazon Bedrock AgentCore
CrossnoKaye built AURA, a physical AI system for closed-loop control in heavy industry, on its ATLAS platform using Amazon Bedrock AgentCore. The platform spans more than 100 industrial facilities and 13,000 controlled assets, stores over 22 trillion machine data points, adds over 50 billion readings daily, and runs over 1,000 real-time APC applications—reportedly boosting output 11–17% and cutting facility energy costs by 21% on average.
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