ControlRooms Unveils First Agentic Troubleshooting System for Chemical & Energy Operations

The multi-agent AI system learns chemical plant behavior to proactively troubleshoot issues.

AUSTIN, Texas, Sept. 2, 2026 /PRNewswire/ -- ControlRooms today announced the launch of its Agentic Troubleshooting System for energy, petrochemical, and chemical producers — a system of AI agents that detects production issues earlier and helps frontline teams resolve them faster.

Modern process manufacturers lose millions annually to business interruption and property damage. Exacerbating the situation, years of critical institutional knowledge is walking out the door as their most veteran operators retire. ControlRooms' Agentic Troubleshooting System augments static alarm thresholds with Large Harmony Models (LHMs) —AI models that learn the normal multidimensional "harmony" across thousands of process variables and surface departures from that "harmony" in real time.

ControlRooms' Agentic Troubleshooting System orchestrates four AI agents working in concert to keep complex plants operating harmoniously:

1. Detect: Surfaces hidden anomalies across thousands of continuous instruments using LHMs before conventional alarms fire, cutting through false positives to pinpoint system deviations.
2. Advise: An operations sidekick that leverages first principles, chemical engineering knowledge, plant engineering documents, process engineering knowledge, standard operating procedures (SOPs), and LHMs to deliver proactive troubleshooting solutions.
3. Log: Captures operator observations via hands-free voice notes or text for agentic reasoning.
4. Handover: Generates AI-drafted executive summaries and audio recaps for seamless shift transitions; eliminating manual, spotty reporting.

"Process upsets are among the largest sources of business interruption in our industries. By catching issues early and resolving them proactively, ControlRooms dramatically reduces that exposure — protecting production, margin, assets and people. This is operational risk mitigation in real time, and it's exactly why partners across energy and insurance are leaning in," said Omar A. Talib, President and Co-Founder of ControlRooms.

"We are witnessing a monumental shift in how industrial operations leverage artificial intelligence," said Monte Zweben, CEO and Co-Founder of ControlRooms. "General-purpose AI agents fail because they lack the real-time process context. With Large Harmony Models, we've created an architecture where continuous whole-system monitoring feeds directly into a multi-agent feedback loop. Every alert, operator interaction, voice note, and resolution makes the agents smarter, creating a compounding "context" advantage that becomes the central nervous system for operations."

Proven Enterprise ROI and Rapid Deployment

ControlRooms is live at over 30 plants globally and is delivering tens of millions of dollars to the bottom line. One publicly traded enterprise customer projected $25 million in incremental EBITDA by 2030 with ControlRooms. The Agentic Troubleshooting System can deliver value within 28 days.

To learn more about the Agentic Troubleshooting System visit www.controlrooms.ai.

About ControlRooms
ControlRooms is the leading Agentic Troubleshooting System for energy and chemical plant operations. The system of AI agents detects production issues earlier and helps frontline teams resolve them proactively. Four AI agents work in concert to keep complex plants operating harmoniously. ControlRooms is backed by Amity Ventures, Origin Ventures, Tokio Marine, S3 Ventures, and other leading investors.

controlrooms.ai
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SOURCE ControlRooms.ai, Inc.