From signals to decisions. Without the black box.
Rotomate analyzes condition monitoring data the way experienced reliability engineers do. It combines signal analysis, machine context, and human-like reasoning to determine what actually needs attention and what to do next.
Easy to deploy. Fast to value.
1. Connect your data
Rotomate supports a wide variety of software used in condition monitoring, including vibration sensors, CMMS, EAM, ERP, and operational data systems. Custom integrations are included as default and implementation is fully handled by Rotomate. No significant resources needed from your side.
2. Apply human-like reasoning to every signal
Unlike threshold-based alerts or anomaly detection, Rotomate's AI Engineer interprets what a change actually means by combining signal data, machine context, and known failure patterns to validate findings before surfacing anything to your team.
3. Get clear decisions
Receive prioritized insights on what needs attention, why, and what to do next. Monitor key assets, review findings, and add notes and context where needed.
4. Validate and dig deeper
All AI findings can be validated quickly using state-of-the-art data visualizations and manual analysis tools. Unlike black-box AI systems, Rotomate gives full visibility into the reasoning behind every finding.
Condition monitoring shouldn’t stop at detecting changes
Traditional systems detect deviations in signals. But making a decision requires more than that. It requires understanding the symptom in the context of the machine, its history, and known failure patterns.
Rotomate replicates how experienced reliability engineers analyze machine condition.
When a change is detected, Rotomate follows a structured analysis process:
Identifies where the change occurred
Selects the relevant signals and views and analyzes trends and spectra
Interprets findings in machine context
Reasons if machine has something worth exploring
Validates the conclusion before reporting
Comparison
From monitoring to reasoning
Traditional tools
Detect anomalies
Trigger alerts
Require manual interpretation
Depend on thresholds and tuning
Multiple systems to check separately
Old, non-intuitive user interface
Interprets signals
Combines context and history
Explains what’s happening
Recommends what to do next
All data in one system
Simple, easy-to-use interface
See it in action
Book a 30-minute demo and see how Rotomate analyzes real vibration data.