Module 05 — Equipment Intelligence

Know your machines
better than they know themselves.

Machine registry, live OEE tracking, operator downtime logging, IoT telemetry ingestion, anomaly detection, and predictive maintenance work orders.

Equipment Intelligence blueprint
Core Capabilities

From spindle load
to maintenance order.

A complete equipment lifecycle system — from real-time telemetry to predictive maintenance to cost tracking.

01
Machine Registry
Central catalog of every machine — make, model, year, capabilities, IoT protocol, and operating parameters. One source of truth for your entire fleet.
02
OEE Tracking
Availability x Performance x Quality calculated per machine, per shift. Updated every 5 minutes with raw inputs — planned time, actual run time, cycle times, good parts vs total.
03
30-Second Downtime Logging
Operators log downtime events from their phone in under 30 seconds. Reason codes, auto-detected events from IoT, and duration tracking for every incident.
04
IoT Telemetry Ingestion
Spindle load, cycle time, power draw, vibration, and coolant temperature — ingested at 1-minute granularity via OPC-UA, MTConnect, or MQTT. 90-day hot storage.
05
Anomaly Detection
ML-powered pattern recognition flags deviations in spindle load, cycle time drift, and vibration patterns. Severity scoring with predicted failure timeline and recommended actions.
06
Maintenance Work Orders
Preventive, corrective, and predictive maintenance lifecycle. Assignment, scheduling, completion tracking, and cost accounting — parts, labor, and vendor expenses.
By the Numbers

What equipment intelligence
delivers.

99%
tool failure prediction accuracy achieved by leading shops
40%
average OEE improvement with real-time monitoring
$72K
savings per machine per year from predictive maintenance
<30s
to log a downtime event from the shop floor
Need help implementing?

Our Equipment & Predictive Maintenance service team can connect your machines and configure anomaly detection for your specific equipment.

Learn About the Service →
Open source is the starting line

OEE tracking is built in. Predicting your failures is custom.

Factory gives you machine registry, OEE tracking, and anomaly detection out of the box. But your equipment fleet has its own failure signatures, maintenance schedules, and telemetry quirks. We build custom predictive maintenance systems trained on your machines' actual behavior — catching the patterns that generic models miss.

Talk to Our Team → Learn About Custom Equipment & Predictive Maintenance →
Open-source. American-built.

Stop fixing machines
after they break.

Register your machines, connect your sensors, and start predicting failures before they cost you a job. American shops run the best equipment in the world — this free, open-source module gives every one of them the intelligence to match.

View on GitHub → Talk to Our Team → Next: Copilot →