Version 3.10.0-July 12, 2025
What’s New Data Relearn A new Data Relearn workflow has been introduced to help maintain optimal algorithm performance when key changes are detected. This process…
How Teams at Nanoprecise Bridge Machines, People, and Reliability
How Teams at Nanoprecise Bridge Machines, People, and Reliability
Update about sensors marked for use in C1D2 / Zone 2
Sensors marked for use in C1D2 / Zone 2 hazardous areas and mis-labelled NS002 and NS003 Sensors Recently we informed our customers of critical information…
NS003 Sensor Recall for Zone 0 and Class 1 Division 1 Sensors
Nanoprecise Issues Sensor Recall Recently we informed all affected customers of a critical safety and compliance issue concerning our specific NS003 sensors labelled Ex ia…
5 Profit Killers in CPG Manufacturing & How Predictive Maintenance Helps
Could could predictive maintenance be the missing solution to many of the profitability challenges faced in the CPG Manufacturing Industry?
Built for Scale: Inside Nanoprecise’s Edge-to-Cloud Architecture for Predictive Maintenance
“The challenge was never about getting more data. It is about making the data work together, at the speed of the problem.” Rituraj Ubnare, Principal…
Article | Blog | Uncategorized
Women in Manufacturing Tech are Rebuilding the Industry from the Inside Out
Something powerful is happening in manufacturing. It’s not just the machines getting smarter. It’s not just the dashboards lighting up with real-time data. It’s something…
Beyond the Red Flag: A Smarter Way to Monitor Equipment Health
“Health Status shouldn’t just be a label on your dashboard; it should turn complex machine behavior into insightful actions. When teams can see what’s changing…
Version 3.9.0-June 14, 2025
What’s New Health Status Revamp We’ve introduced a major update to the Health Status system across the platform, delivering improved accuracy, consistency, andvisual clarity. These…
What is Predictive Maintenance (PdM)?
Predictive maintenance (PdM) is a proactive approach to maintenance that uses machine data, AI and ongoing condition monitoring of equipment to identify irregularities and predict…