Holcim
Scaled Across 80 Plants and 400 Assets

C3 AI Reliability is AI-enabled predictive maintenance that helps asset operators improve uptime, reduce costs, and increase productivity by unifying sensor data, maintenance records, and parts inventory to predict equipment failures and enable proactive monitoring at scale.
50%
Reduction in downtime
5%
Improvement in overall equipment effectiveness (OEE)
99%
Reduction in alert noise
6 Months
To deploy and scale across sites
Powered by the C3 Agentic AI Platform, unify data from various sources such as sensor data, documents, and process diagrams into a flexible data model for predictive analytics.
Receive early and accurate predictions of impending equipment risks using best in class charting, advanced time series foundation models, and flexible, proven machine learning models.
Utilize autogenerated failure mode identification and recommendations to accelerate root cause analysis, prioritize cases, and aid in maintenance scheduling.
Bring deep context from asset history, institutional knowledge, and AI insights to real-time operations through an embedded search and chat interface.
Learn how C3 AI Reliability delivers real-time AI-driven recommendations across discrete, continuous, batch, and semi-batch production processes, with a full capabilities overview and proven customer results.
Read the Data Sheet

Verdantix names C3 AI #1 Leader in their 2025 Industrial AI Analytics Software report. Read the report for an analysis of C3 AI’s leading scores in capabilities including predictive maintenance and supply chain logistics.

Flint Hills Resources is using C3 AI Reliability to standardize asset monitoring across thousands of critical assets, driving more efficient anomaly resolution. Hear from their team onstage at C3 Transform.

This on-demand webinar with Dow and Univation Technologies looks at AI-powered reliability in steam cracker operations, presented by the software operators, with deployment results and a demo of C3 AI Reliability.