Large amounts of machine data is collected but not being utilised to its full extent. This is where Utpatti's predictive maintenance software can help. We utilise existing sensor and breakdown data to predict potential failures before they occur and help optimise machine maintenance.
Our early failure warnings notify both the plant managers and maintenance engineers to schedule planned downtime and procure spare parts early.
Our product helps optimise maintenance plans and schedule maintenance smartly to decrease spare parts & warehouse expenditure.
Our decentralised AI models do not require machine data to be transferred to an external cloud leaving ownership of their data to the companies.
Advanced AI engine that is constantly learning from new data to predict machine failures accurately and avoid over maintenance.
A simple and usable predictive maintenance application providing accurate breakdown predictions of connected equipment. Our decentralised AI engine alerts maintenance engineers of potential breakdowns months in advance to monitor equipment health and schedule planned maintenance.
We collaborate with maintenance and production teams to evaluate the potential use cases with high ROI.
We demonstrate the value created by our solution by adapting our AI models to your historical data.
Receive health status and remaining useful life predictions of all connected machines in a customised application dashboard.
A continuous learning feedback loop guarantees that the AI model keeps improving with new data and identifies new problems that could occur.
The feasibility study by Utpatti validated that impending failures can be predicted by their model with a high accuracy of more than 90%, using sensor data and information from only three previous breakdowns per machine type. This convinced us to test Utpatti’s software on a larger scale.
Pavel Hartl Leader of Smart Maintenance Working Group, Bosch
We understand that every business is unique, and you may be unsure if we are the right fit for your project. So we are offering a free feasibility study to everyone who wants to give us a try.
Get in touch at firstname.lastname@example.org
or request a demo here.
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