Prevent scrap and downtime with AI-powered Tool Anomaly Detection - no sensors or manual setup required. TAD learns cutting behavior fast, adapts to job changes, and alerts you to anomalies in real time.
MachineMetrics collects real-time load, torque, and spindle speed data directly from the machine control - no sensors or manual setup required.
Proprietary AI models analyze tool performance, recognizing deviations from normal cutting behavior to identify potential failures before they happen.
Automated alerts and machine stop workflows help manufacturers prevent catastrophic failures, maximize tool life, and eliminate costly scrap and downtime.
Leverage our out-of-the-box high-frequency data connector to uncover machine issues with unmatched precision, enabling diagnoses that were previously impossible. Stop waiting on machine and tooling failures to drive action.
Instead of relying on your operators to notice out-of-spec parts, use machine data to drive insights on when quality issues will occur - and prevent them altogether.
Tool anomaly detection is a scalable, software-based solution that eliminates the need for invasive sensors, saving users tens of thousands of dollars.
Powered by centuries-worth of anonymized machine data, our refined algorithms detect a wide range of production issues with precision.
A leading Tier 1 automotive supplier struggled with frequent tool failures, causing costly scrap and unplanned downtime.
By implementing MachineMetrics Tool Anomaly Detection, they gained real-time visibility into tool performance, allowing them to predict and prevent failures before they happened. As a result, they now save thousands of dollars per machine each month, improving efficiency, reducing waste, and maximizing machining capacity.
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