Leveraging intelligence
through data engineering and systems integration.

500 million "smart machines" deployed yearly by industrial enterprises escalate operational complexity, presenting challenges in maintaining flawless mission-critical operations. What's needed is on-demand operations intelligence as a service, prioritizing it over an abundance of "smart hardware."

yantrana specializes in industrial consulting and implementation frameworks. We aid instrument manufacturers and industrial engineering firms in providing actionable intelligence to their enterprise clients. Our emphasis lies in optimizing critical operations across industries, guaranteeing impeccable performance.

Smart strategy & excellent performance

Smart strategy & excellent performance
01
Tailored Data Acquisition and Analytics
02
Industrial IoT consulting
03
Machine Learning consulting
04
Digital Twins consulting

Among the world's top 5

wind turbine manufacturers

adopts cutting-edge digital twin technology to enhance predictive maintenance across its extensive fleet of hundreds of wind turbines.


By leveraging digital twins, the company achieved the ability to anticipate condition-based alerts and foresee field service requirements through a blend of historical maintenance data and real-time turbine condition insights.

Relevant case studies

Securing Data in Smart Manufacturing with a Modernized Data Platform.

A leading global manufacturing company specializing in automotive components faced challenges in securing data from its numerous industrial devices and ensuring efficient data management and analytics. The company operates several factories worldwide, each equipped with advanced industrial IoT (IIoT) devices generating vast amounts of data.

Implementing Predictive Maintenance in a Smart Factory.

Global leader in industrial equipment production, aimed to enhance its operational efficiency and reduce downtime through the implementation of a predictive maintenance solution in its smart factory. The initiative focused on leveraging IoT devices and advanced analytics to predict equipment failures before they occur.

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