TORONTO, CANADA October 20, 2020
It’s now easier than ever for organizations to monitor the health of equipment in real-time, detect anomalous behavior, automatically trigger maintenance activities, and generate in-depth reports on asset performance and condition with the new partnership announced today between Fiix Inc. and Nanoprecise.
“Being able to constantly monitor assets and collect data from sensors is not new, but generating insights and actioning them using that data has always been a struggle for maintenance, operations, and whole businesses. We wanted to crack that code, which is why we’re teaming up with a world-class network of partners, like Nanoprecise, that offer industry-specific IoT solutions and connect maintenance teams to everything and everyone they need to turn data into decisions that exponentially increase what companies are capable of achieving,” says James Novak, CEO of Fiix.
Integrating Fiix’s AI-driven maintenance management platform with Nanoprecise’s predictive maintenance solution helps maintenance teams act on information gathered by constantly monitoring the performance of assets to detect failure before it happens and work to prevent it. The integration between Fiix and Nanoprecise includes simple and easy-to-install IoT sensors with integrated vibration, acoustic emission, RPM, temperature, magnetic flux, and humidity sensing. These sensors provide automated analysis of machine data with fault mode characterization for rotating assets. The data gathered from equipment is automatically delivered to Fiix’s CMMS and used to notify maintenance teams when asset anomalies are detected and maintenance is required to prevent full failure.
“Our companies share a vision that to deliver on the potential for factory automation and the promise of IIoT in the industry requires an ecosystem of best-in-breed partners that are able to connect seamlessly to accelerate value attainment and minimize the risk of initiative failure. Integrating exceptional offerings like the Machine Doctor™ sensors and RotationLF software with systems that allow for actionable processes, such as Fiix, enables users to quickly and easily deliver value without long cycles of IT, OT, and integration. This approach will dramatically improve the likelihood of success while prioritizing resources towards what everyone does best,” says Sunil Vedula, CEO of Nanoprecise.
“Predictive maintenance has been just a buzzword for too long. This partnership between Fiix and Nanoprecise is helping not only make it a reality, but an accessible strategy for thousands of maintenance teams. With this integration, organizations will be able to filter out all the noise of asset monitoring and see the early warning signs of failure so it can be stopped.” says Novak.
The partnership with Nanoprecise is the latest in Fiix’s rapidly expanding ecosystem of partner solutions that allows maintenance teams to easily connect their Fiix CMMS with 1000s of endpoints, including ERPs, fleet management systems, industrial controls, and more. With these partnerships and easy-to-use artificial intelligence tools, Fiix is transforming the maintenance industry by supercharging its potential and providing businesses with greater access to information and connectivity.
About Nanoprecise
Nanoprecise is an AI and IoT company that is combining physics, material science, and data analytics to diagnose issues with physical assets in various industries and predict the remaining time to failure so that proper corrective actions can be taken at an appropriate time. Nanoprecise was founded with a strong, simple, yet lofty vision of creating end-to-end integrated systems and models that are able to predict the remaining useful life of any asset in any industry at any point during its lifetime with up to 99% accuracy. Nanoprecise enables asset owners to utilize the most cutting-edge machine health insights on rotating equipment assets so that false positives are minimized while still achieving high performance and cost-efficiency of diagnosis and actionable insights. Learn more at www.nanoprecise.io