
The NRX Blog

INDUSTRIAL DOCUMENT EXTRACTION FOR BETTER ASSET DATA
Most asset data problems do not start in the EAM. They start in the documents surrounding it. An OEM manual may contain specifications and spare parts information for critical equipment. A nameplate photo may hold manufacturer, model, and serial number data. Supplier...

How Better Asset Data Improves Maintenance and Reliability
Asset-intensive organizations invest heavily in EAM systems, predictive maintenance, digital twins, and other technologies designed to improve reliability. But the value of those tools depends heavily on the quality of the asset information supporting them. When asset...

The Asset Data Problem Across Asset-Intensive Industries
Oil and gas, utilities, mining, and manufacturing operate in very different environments. The equipment changes, the maintenance challenges change, and the consequences of downtime look different. But across each industry, the same asset data problem continues to...

Manufacturing Asset Management: Why Better Data Drives Better Reliability
Manufacturers continue to invest in new EAM systems, predictive maintenance, automation, and AI to improve reliability. Yet many organizations still struggle with recurring equipment failures, inefficient maintenance processes, and systems that do not deliver the...

Why Mining Operations Cannot Afford Bad Asset Data
The conveyor stopped at 6am. Third time this quarter. The maintenance team knows the belt drive has been struggling. They flagged it twice. Both times the work order was closed without the root cause documented because the technician who did the repair retired and...

Why Utilities Cannot Afford Aging Asset Data
A transformer fails during a severe storm. The maintenance crew arrives ready to restore service, but before the repair can begin they need to confirm the equipment specifications, identify the correct replacement part, and locate the latest OEM documentation. The...

Why Most Industrial AI Projects Struggle With Reliability
According to the MaintainX State of Industrial Maintenance Report 2026, 58% of industrial maintenance teams are already using AI in their operations. 75% report measurable ROI in under six months. Those are remarkable numbers. So why does the same report find that...

Why Asset Data Quality Matters for Oil and Gas Operations
A turnaround is one of the most expensive events an oil and gas facility runs. Thousands of work orders. Hundreds of contractors who have never set foot in the facility before. Critical rotating equipment that has not been touched since the last major shutdown. Every...

Digital Twins in Maintenance: What They Are and Why They Matter
A conveyor shuts down mid-shift at a mining facility. The maintenance planner gets the call. They need the component specs, the correct replacement part, and confirmation that it is in stock. They open the EAM. The record references an OEM manual that was filed during...

NRX Extractor: Asset Data Extraction Software
A maintenance technician gets a work order The torque spec they need is buried in a scanned manual. The part number is in an invoice from two years ago. The nameplate data was never entered into Maximo. So before the repair starts, they spend 40 minutes hunting. Not...