
ControlRooms.ai helps chemical and heavy-industry plants detect anomalies earlier and resolve process issues faster to reduce unplanned disruptions. The platform applies AI and machine learning for time-series anomaly detection and an AI Trend Search that surfaces similar historical events to accelerate root-cause analysis. It integrates with industrial telemetry and messaging protocols (OPC, MQTT) and runs as a SaaS solution on cloud infrastructure (Azure) for rapid deployment and frontline adoption. Typical customers include chemical processors, energy and petrochemical facilities that use the system to shorten troubleshooting cycles and improve plant reliability.

ControlRooms.ai helps chemical and heavy-industry plants detect anomalies earlier and resolve process issues faster to reduce unplanned disruptions. The platform applies AI and machine learning for time-series anomaly detection and an AI Trend Search that surfaces similar historical events to accelerate root-cause analysis. It integrates with industrial telemetry and messaging protocols (OPC, MQTT) and runs as a SaaS solution on cloud infrastructure (Azure) for rapid deployment and frontline adoption. Typical customers include chemical processors, energy and petrochemical facilities that use the system to shorten troubleshooting cycles and improve plant reliability.
Founded: 2021
Headquarters: Austin, Texas
Product: AI SaaS for time-series anomaly detection and root-cause troubleshooting in chemical and heavy industries
Tech / Deployment: Integrates with OPC and MQTT; cloud SaaS on Microsoft Azure
Recent funding: Series A $10M (Aug 29, 2023); total funding $13.75M
Operational troubleshooting and anomaly detection for chemical, energy, petrochemical and materials plants.
2021
Data and Analytics
10000000
Series A announced Aug 29, 2023; reported as oversubscribed
“Origin Ventures led the Series A with participation from Amity Ventures, Tokio Marine Future Fund, S3 Ventures, GTM Fund, Alpha Square Group, FJ Labs, StratMinds and Alumni Ventures”
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