
Asset Reliability
Avoid costly outages by enabling preventive and predictive maintenance strategies with self-service analytics. Identify failure patterns faster, detect anomalies early, and perform root cause analysis in minutes to increase asset availability, improve reliability, and keep your operations at peak efficiency.

Energy Optimization
Gain real-time visibility into utility assets and energy-intensive processes through self-service analytics. Detect inefficiencies early, correlate energy consumption with operating conditions, and prevent non-optimal states before they occur to achieve sustainability targets and lower operating costs.

Monitoring & Reporting
Enable 24/7 monitoring of critical assets, emissions, and energy consumption to avoid incidents and malfunctions. Stay audit-ready with automated compliance dashboards and track adherence to ISO 50001, GMP, FDA, and environmental standards.

Discover powerful insights and make data-driven decisions.
Discover the impact of TrendMiner in the words of our customers.
Optimize your critical steam systems. Discover how TrendMiner uncovers inefficiencies by calculating steam mass balances and monitoring consumption. This session covers practical use cases for identifying leaks and predicting energy performance in real-time.

CUSTOMER PRESENTATION
See how BASF uses TrendMiner’s monitoring and dashboarding to optimize boiler efficiency, save fuel, and reduce CO₂ emissions


Guide
This guide provides a practical framework for reducing energy consumption in cleanroom operations—which can account for up to 60% of total facility energy. It demonstrates how TrendMiner’s Industrial AI platform enables process experts to optimize high-energy assets like chillers, predict maintenance needs for compressors, and automate compliance reporting to meet strict ISO and GMP standards.

Use case
In high-tech semiconductor manufacturing, precise vacuum chamber operation is critical. This use case shows how monitoring vacuum evacuation times boosted Overall Equipment Effectiveness (OEE), cut downtime, and increased yield by quickly identifying potential equipment failures.