OpsMate AI
OpsMate AI provides a decision intelligence platform that ingests real-time sensor and control system data, applies AI analytics to detect anomalies and predict failures, and delivers actionable recommendations. The platform can automatically execute approved actions, helping manufacturers and process industries improve throughput, reduce energy use, and minimize unplanned downtime.
- Artificial Intelligence
- Data & Analytics
- Industrial Automation
- Manufacturing / Industry 4.0
Funding
Founders
Founder details are not available yet.
Product
Problem
Industrial operators often struggle to interpret large volumes of real-time sensor and equipment data, leading to suboptimal process decisions, inefficiencies, and unexpected downtime.
Solution
OpsMate AI offers a decision intelligence platform that continuously ingests operational data from existing control systems, applies advanced analytics to identify performance gaps, and generates actionable recommendations. The platform can automatically execute approved actions, closing the loop between insight and operation without manual intervention. By delivering real-time optimization guidance, OpsMate AI helps plants maintain higher throughput, lower energy consumption, and reduced unplanned outages. Integration with legacy control infrastructure ensures minimal disruption while providing a unified view of operational health.
Target Audience
Primary customers are manufacturers and process industries—such as chemicals, oil & gas, and automotive—seeking to improve plant efficiency and reliability through data-driven automation.
Features
- Real-time data aggregation from PLCs, SCADA, and IoT sensors
- AI-driven analytics that detect anomalies, predict failures, and suggest process adjustments
- Automated execution engine that can trigger control system commands based on approved recommendations
- Dashboard visualizations showing key performance indicators, root-cause insights, and recommended actions
- Seamless integration via standard industrial protocols (OPC-UA, MQTT, REST) to existing control environments