Smart Factory

Decentralised AI for Smart Maintenance

Predict remaining useful life of connected equipment and identify potential failures before they occur, while not requiring any transfer of data to an external cloud.

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Predict, monitor and optimise your asset health

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.

Improved breakdown response time
Improved breakdown response time

Our early failure warnings notify both the plant managers and maintenance engineers to schedule planned downtime and procure spare parts early.

Maximize production profitability
Increased OEE of your equipment

Our product helps optimise maintenance plans and schedule maintenance smartly to decrease spare parts & warehouse expenditure.

Understand your machines better
Keep ownership of your equipment data

Our decentralised AI models do not require machine data to be transferred to an external cloud leaving ownership of their data to the companies.

Accurate and better predictions
Accurate and better predictions

Advanced AI engine that is constantly learning from new data to predict machine failures accurately and avoid over maintenance.

Our Product

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.

  • Early warning notification of potential failure
  • Remaining useful life of connected equipment
  • Health status of equipment
Read Case Study
Utpatti Predictive Maintenance Application

Ensuring a solid & reliable onboarding process — no external cloud integration needed

Conduct Feasibility Study
Feasibility Study

We collaborate with maintenance and production teams to evaluate the potential use cases with high ROI.

Pilot Test/Proof of Concept
Proof of Concept

We demonstrate the value created by our solution by adapting our AI models to your historical data.

Dashboard Insights
Machine Health Prediction

Receive health status and remaining useful life predictions of all connected machines in a customised application dashboard.

Continuous improvements to the model
Continuous Improvements

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

Get started with a feasibility study

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.

Curious to know more?

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