The system utilizes Large Harmony Models (LHMs) to analyze thousands of process variables simultaneously, identifying deviations from normal operations. This architecture coordinates four specialized agents: one to detect hidden anomalies, another to provide engineering-backed advice, a third to log operator notes, and a final agent to automate shift handovers. By integrating voice notes and process documentation, the platform creates a feedback loop that grows more accurate with every interaction.

ControlRooms is currently active at more than 30 global facilities. According to the company, one enterprise client expects to realize $25 million in incremental EBITDA by 2030 through the platform's deployment. President Omar A. Talib noted that the technology functions as real-time risk mitigation, while CEO Monte Zweben emphasized that the system succeeds where general-purpose AI often fails by maintaining deep, plant-specific context. The company reports that the system can be fully operational and delivering value within 28 days of deployment.