Connects assets with CMMS for condition-based maintenance and more.
What customers say
“It brings reactive and preventive maintenance into one central location, which is the beauty of it. We have permanent records for each asset in the CMMS so it’s much easier to log in and see a full history. Undoubtedly, it’s made the work order system more efficient,we’re seeing more PM’s getting done on time and overall, maintenance is much more thorough. While we’re not there yet, we’re definitely moving toward the ideal 80/20 proactive/reactive situation.”
CustomerFiix customer
“Not only is it simple and easy to use, its cloud based so it can be used on any Internet device including mobile. – Darren Vedder, Maintenance Manager”
CustomerFiix customer
“Reports are one of the biggest time savers. We can measure progress and see exactly how we’re performing. I’ve saved at least one day of manual data processing when I have to prepare our annual metrics at the end of the season.”
CustomerFiix customer
Fiix CMMS
Dunlop Aircraft Tyres uses Fiix CMMS for maintenance scheduling, machine history, and automated reporting. Fiix reports substantial reporting time savings and a 21% increase in curing-department mean time between…
J.J. McDonnell implemented Fiix CMMS, including mobile access, scheduled maintenance, and parts workflows. Fiix reports that the team reached 83% planned maintenance and reduced reactive maintenance to 17%, alongside…
DLG Group deployed Fiix CMMS at nine locations to centralize maintenance and spare-parts information. Fiix reports improved mean time between failures within a month; the stated 10% maintenance-efficiency improvement…
Rockwell Automation and Augury Announce Strategic Partnership for Industrial AI
Rockwell Automation and Augury announced a strategic technology and go-to-market partnership to improve industrial performance through connected reliability. The collaboration integrates Augury's Reliability Agent with Rockwell's Fiix MAX and FactoryTalk Optix portfolio. This connection aims to bridge the gap between machine health diagnostics and maintenance execution by translating AI-driven insights into automated work orders and maintenance workflows. The joint offering is intended to help manufacturing teams prioritize and act on performance improvements more efficiently. An initial release of the integration is expected to become available in September 2026.
