Ctrl2Go
Clover's digital data analysis platform has been recorded in the Unified Register of Russian Software
27 JUNE / 2019
The solution can be applied in various industries, including oil and gas and chemical industry, power industry, machine building, urban transportation sector.
The solution presented by the Russian developer Clover Group (Ctrl2GO Group of companies) was entered into the Unified Register of Russian Software (Order of the Ministry of Communications and Mass Media of the Russian Federation No. 335 dated June 06, 2019), which allows for cooperation with the largest state corporations and Russian enterprises in the power, oil and gas industries, aviation industry, and machine building sector. Clover's digital data mining platform is based on own technologies developed by the Clover Group and is the basis for several the Clover Group solutions.

The Clover platform allows for collecting, storing, and processing data, conducting predictive analysis using machine learning algorithms in the full life cycle of any equipment. The solution can be applied in various industries, including oil and gas and chemical industry, power industry, machine building, urban transportation sector.

The risk-based management system Ctrl@Maintenance is working on the Clover platform. This solution is being successfully implemented for the digitization of urban and suburban transport, machine-building, and power industries. The Clover platform can be considered as a tool for developing a new model of investment strategy and managing the competitiveness of various sectors.

Clover Group (a member of the Ctrl2GO Group of companies) is a Russian developer of solutions related to predictive maintenance in the metallurgy, mining, power, machine building, and oil and gas industries. The Clover Group's solutions transform industrial enterprises using artificial intelligence technologies. The group of companies cooperates with the largest enterprises of Russia, the CIS, Europe, the Middle East and Asia in the area of application of predictive analytics, as well as with leading scientific and educational institutions.

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