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AWS Machine Learning Blog· Raphael Simon·· 6 days agoAI score38

How CrossnoKaye grounds physical AI with Amazon Bedrock AgentCore

How CrossnoKaye grounds physical AI with Amazon Bedrock AgentCore

AI summary

CrossnoKaye's ATLAS software-defined automation platform and its AURA agentic system run on AWS, using Amazon Bedrock AgentCore code interpreter microVMs to execute model-authored Python for verifiable statistics and physical balances across plant data. AURA operates in three modes—interactive Chats with warm sandbox sessions, repeatable Tasks, and automated Routines—and enforces layered safety through Bedrock Guardrails, read-only air-gapped sandboxes, deterministic edge base control, and independent hardware protection. The post describes the architecture and reports results such as investigations completing in under four minutes and a 34 percent reduction in batch drying-time standard deviation.

Source: AWS Machine Learning Blog · aws.amazon.com