Utpatti used at smart factories

Eliminate Costly Downtime & Boost Assembly Line Efficiency

With Utpatti's AI solution, you can accurately predict remaining useful life of your equipment and identify potential failures before they occur, with zero data transfer to external clouds.

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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

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
55% reduced downtime costs

Early failure warnings enable planned downtime and early spare part procurement, preventing long downtimes and expedited parts delivery expenses

Maximize production profitability
Unlock 90% equipment uptime

Experience enhanced equipment performance, increased productivity, and optimised maintenance leading to better overall efficiency.

Accurate and better predictions
Reduce warehouse costs by 30%

With foresight on when equipment will need maintenance, just-in-time parts ordering can be utilised to reduce warehouse expenditure.

Understand your machines better
Retain Data Ownership 100%

With our decentralised AI, you can rest assured that your valuable equipment remains securely within your company's control. No need to transfer machine data to an external cloud.

Maximise savings with proactive maintenance

Stay steps ahead with Utpatti and ensure uninterrupted operations while optimising maintenance efficiency. Embrace the future of equipment management with our user-friendly predictive maintenance solution.

  • 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.

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?

Get in touch at info@utpatti.ai
or request a demo here.

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