Operators have to manually duplicate data from condition-based and predictive maintenance products into their CMMS and back, which delivers suboptimal experience.
Makini enables seamless movement of data between CMMS and condition-based / predictive maintenance products, eliminating need for manual data duplication.
Training predictive models requires a lot of labeled CMMS data. It is difficult to get at scale when customers use different systems.
Makini consolidates labeled maintenance data from multiple CMMS, making it easy to use and analyze.
We provide a set of simple end-points so you don’t need to stitch together disparate systems or spend months integrating business logic.