CrossnoKaye Deploys Industrial AI with Amazon Bedrock AgentCore for Plant Optimization

CrossnoKaye has implemented Amazon Bedrock AgentCore within its ATLAS automation platform and AURA intelligence system to perform verified computations across heavy industrial facilities. Operating across more than 100 industrial sites and 13,000 controlled assets, ATLAS connects real-time telemetry to closed-loop equipment control. By integrating Amazon Bedrock AgentCore's Code Interpreter, AURA offloads complex statistical and thermodynamic computations from LLM prompts to isolated Python microVM sandboxes. The architecture employs contract validation, deterministic DataFrame schema verification, and automated self-correction, enabling reliable equipment diagnostics, automated technical briefs, and fleet-wide alarm triage.

Key takeaways

• CrossnoKaye's ATLAS platform ingests over 50 billion readings daily across more than 100 facilities, operating over 1,000 advanced process control applications and 650,000 daily closed-loop control actions.
• AURA integrates Amazon Bedrock AgentCore Code Interpreter to run Python calculations in isolated AWS microVM sandboxes, addressing LLM mathematical limitations when evaluating millions of sensor readings.
• The system implements warm sandboxes with a 15-minute sliding TTL for multi-facility interactive chats, while scheduled tasks and routines use fresh single-run microVMs to guarantee reproducibility.
• Computational accuracy is enforced through strict input contracts, in-sandbox DataFrame schema checks serialized to Apache Parquet, and automated error-handling workflows for script self-correction.