APOLLO

APOLLO is a metrology-first solution designed to maximize uptime and improve overall equipment effectiveness (OEE) for CMMs and measurement operations. It provides real-time visibility into asset health, utilization, and events supported by analytics that help teams detect abnormal behavior early and act before downtime occurs.

APOLLO dashboard showing device status tiles, color-coded utilization timelines, and an OEE gauge at 50.6%

Real-time & predictive condition monitoring for CMMs and machine tools

APOLLO is designed to maximize uptime and improve overall equipment effectiveness (OEE) for CMMs and measurement operations

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Monitoring and predictive maintenance

APOLLO is a simple, intelligent, and powerful tool for maximizing uptime and overall equipment effectiveness (OEE) through AI-driven analytics, real-time remote monitoring, and automated behavior evaluation. Its predictive insights enable proactive maintenance before issues impact production. Even small OEE improvements can significantly boost profitability.

With APOLLO, metrology, maintenance, and operations teams can reduce unplanned downtime, identify bottlenecks and spare capacity, and shift from reactive firefighting to proactive maintenance and continuous process improvement. Access current and historical data when you need it and make decisions based on real machine performance, not assumptions.

Asset dashboard – access your connected assets and key properties, including asset name, image, model type, location, and certification status.

Asset utilisation - Monitor uptime, runtime, idle time, and downtime across customizable timeframes to understand true capacity and bottlenecks.

Event log and notifications - Receive real-time and historical notifications for key events, including warnings and errors from devices, programs, controllers, and connected sensors.

OEE recognition - Monitor connected assets OEE (Overall Equipment Effectiveness) in customizable time frames

Environmental conditions - Monitor environmental conditions such as temperature, humidity, and vibration to improve stability, reduce drift, and protect measurement confidence.

CMM-3 HxGn Global dashboard showing CMM outline, 19:26 remaining, no OOS violations, and green sensors.
Get real-time access and insights
Line chart showing Environmental Crash 1-SFx percentages with flat warning and critical limits from 08:00–15:00.
Monitor devices and measurement programs
CMM-3 dashboard displaying runtime stats, sensor status indicators, and a utilisation timeline chart
Connect to Hexagon CMMs for service and support
OEE dashboard showing device availability, performance, quality, and total metrics with color‑coded bars