//
Category
Enterprise AI
//
Stack
Industrial Intelligence
//
Timeline
10 Months
// problem
A leading national power generation facility faced critical risks to grid stability due to unscheduled plant outages. Relying on traditional, reactive maintenance and manual paper logs created massive diagnostic blind spots, especially in network dead zones where telemetry was delayed. Engineers struggled to manually cross-reference decades of OEM manuals during high-pressure emergencies, leading to slow Root Cause Analysis (RCA) and increased risk of cascading equipment failures. These diagnostic bottlenecks threatened uninterrupted power generation, exposing the facility to severe regulatory penalties and substantial financial losses.
// How we fixed it
We built Sentrix, a highly secure, on-premise Enterprise AI architecture designed to serve as the plant's cognitive heartbeat. Sentrix acts as an autonomous digital copilot, instantly analyzing complex mechanical faults to provide highly accurate Root Cause Analysis (RCA) and exact maintenance steps. The platform includes an offline-first mobile interface that allows technicians to log critical telemetry data in total network dead zones, securely caching the data and automatically syncing upon network reconnection. By continuously cross-referencing live data inputs with historical logs, the system detects early warning signs of equipment failure long before critical SCADA alarms trigger.
// How we made it happen
Our team began by processing and digitizing decades of OEM technical manuals and historical TOMMS records to build core Vector Databases (RAG) for the specialized AI agents. We deployed a centralized Multi-Agent AI engine directly onto localized, high-availability GPU servers within the plant's air-gapped infrastructure, ensuring absolute data sovereignty with zero cloud dependency. To eliminate physical blind spots, we developed a rugged mobile application with high-contrast, industrial UI that securely synchronizes field data with the core server. Finally, we implemented a centralized analytics hub for the control room to monitor holistic plant health, track predictive anomaly alerts, and automatically dispatch the most qualified mechanical specialists based on the specific fault profile.
3X
Faster RCA Diagnosis
-35%
Reduced Unplanned Downtime Risk
-45%
Improved Maintenance Response
