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‘Skopeo.AI’ is a multi-cloud platform for managing Kubernetes clusters, designed to automate and optimise business cloud infrastructure. It reduces the cost of cloud resources, increases system resilience and automates IT processes.

The main functions of the platform are:

• Automatic scaling of cloud resources.
• Load optimisation and application downtime prevention.
• Data monitoring and analysis using AI technologies.

The project was founded by a team of fourth-year students of the part-time direction ‘Applied Mathematics and Computer Science’:

• Artur Busardykov - the ideological inspirer of the startup;
• Mikhail Geller;
• Kamil Mehdiyev.

The team's scientific supervisor is Andrey Vinogradov, Ph.D., associate professor of the Department of Mathematical Modelling and Artificial Intelligence of RUDN University and director of the Research Centre for Artificial Intelligence of A. K. Ailamazyan Program Systems Institute of the Russian Academy of Sciences.

Thanks to the grant, the team will be able to finalise the development of MVP (minimum viable product) and prepare for pilot launches.

The researchers plan to participate in the second and third stages of the grant programme. They are also going to raise pre-seed investments and take part in the stage A to scale the project and enter international markets, including the CIS and China.

Now the team is working on finalising the MVP, first sales and pilot testing, and raising investments for further growth.

All the team members are already working in the IT field. Artur is a senior DevOps engineer at Innotech, Mikhail is a leading DevOps engineer at ET Consulting (RosAtom) and Kamil is a leading business analyst at BEORG.

Their victory in the grant competition is a vivid example of how students can successfully combine studies, career and development of innovative solutions that can influence the development of technology and business.