APA in
Industrial Machinery

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Industrial Machinery

Predictive analytics the wizarding potion of IoT, cloud, and analytic technology to monitor machine conditions is certainly a trick not to be missed. When certain conditions match up to part or machine failures, the analytics use that data to predict future failures. This leads to the knowledge of circumstances under which more damage can be done and enables the manufacturer to make a repair with minimal downtime for the assembly line. The best part is once a data is created, it can be prototyped for future developments and new innovations. Also, upgradation of old machinery can be done to improve quality. Not to mention, huge losses can be prevented and operational cost can be minimized. This is why there has been a surge in the number of companies using it to be competitively on the grid.


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The change we brought
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Highest number of algorithms
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Accuracy of APA models
100
Time of Transfer Learning from 1 to n Machines
0 Mins
To Build your AI model
Our Proven Results
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Increase in OEE
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Decrease in delivery time
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Decrease in energy costs
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Reduction in quality defects
Tvarit The Team
We’re based out of Frankfurt Germany having the perfect team composition - a German founder bringing vast know-how of machinery coupled with high-quality software expertise of the Indian founders.
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