Academic Research

Discover how iMaintain’s context-aware AI delivers real-time decision support to maintenance teams, reducing downtime and improving asset reliability.

Learn how integrating anomaly detection with root cause analysis in a unified AI platform empowers maintenance teams to detect issues early, prevent recurrence and preserve institutional knowledge.

Learn how AI-enhanced root cause analysis strengthens corrective actions, prevents repeat failures and secures plant safety by capturing and applying real maintenance insights.

Dive into AssetOpsBench research to benchmark AI agents for task automation in industrial maintenance and enhance operational efficiency.

Dive into the latest academic breakthrough in AI-driven fault resolution and discover how cutting-edge research is shaping smarter, context-aware maintenance decision support for manufacturing teams.

Understand the common pitfalls of AI in maintenance and see how iMaintain’s human-centred knowledge capture approach safeguards operational continuity.

Discover how iMaintain’s AI agents streamline error resolution in maintenance notebooks, turning complex fault logs into actionable insights and boosting reliability.

Explore how iMaintain’s Maintenance Knowledge Capture & Retention transforms scattered expertise into shared organisational intelligence for improved reliability.

Dive into the role of AI-powered knowledge management and intellectual capital in transforming maintenance processes and improving operational performance.

Explore proven procedures for capturing and documenting engineering insights to safeguard critical know-how and enhance maintenance efficiency.