Case Study

How The Tignis Analytics Platform Uses InfluxDB to Detect Reliability Threats and Eliminate Obstacles in Manufacturing

How The Tignis Analytics Platform Uses InfluxDB to Detect Reliability Threats and Eliminate Obstacles in Manufacturing

How The Tignis Analytics Platform Uses InfluxDB to Detect Reliability Threats and Eliminate Obstacles in Manufacturing

Pages 17 Pages

Tignis addresses connected mechanical system challenges through its physics-driven platform, automating IoT sensor time series analysis to prevent costly downtime—where minutes at power plants cost millions. Serving industrial manufacturers, Tignis delivers real-time operational insights and condition monitoring optimization. InfluxDB powered Tignis' analytics platform with high-velocity sensor data ingestion, real-time querying, and scalable storage for massive industrial datasets. It enabled predictive maintenance, anomaly detection, instant dashboards, and physics-based optimization—eliminating inefficiencies, preventing catastrophic failures, and unlocking millions in savings through proactive, data-driven industrial operations management.

Join for free to read