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About us
We have founded Mainsgroup to develop and invest in perspective projects and management teams.
Insurance
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Our businesses
Our projects are mostly focused on insurance industry, health and mobility
Around the university graduation, Yury – the co-founder and the CEO of MainsLab had a kid, hence he had to find a job too. Luckily for him, being a senior of the Faculty of Physics of Moscow State University gave him a certain privilege on the job market, and Yury got 3 job offers right away: from Rainessance Insurance, KPMG, and Lukoil. Since the Rainessance offer was received and therefore accepted first, Yury ended up connecting all his life with the insurance industry.
As a person inspired by the challenge, Yury chose to deal with the most unprofitable of the company’s divisions – health insurance.
Oddly enough, back in 2000, the insurers in Eastern Europe did not profit from employer health insurance plans, leaving most of the pie to medical institutions and insurer brokers.
The largest chunk of payments was allocated to medical services, so it was only reasonable to look in there.
However big insurance companies couldn’t afford to dispute the prescriptions obtained from clients. They did have responsible people to check for fraud, but this could only help as much as to deduct serious abuse or violations, and though it saved the company some damage, was hardly enough to cover the expenses on these very specialists.
In 2016, while working in the industry, Yury discovered machine learning. It had been out there for a long time and was crazy expensive until someone decided to use video cards for data processing, which boosted ML technology.
The very possibility of a machine being able to learn how to identify abuse in prescription of services fascinated the future co-founder of MainsLab. Launching a project of this kind was impossible in a huge insurance giant such as Allianz with its rigidness and bureaucracy. So in the end Yury and some other ex-top managers of the insurer decided to start their own company.
The project was hard: founders had to deal with tons of unstructured, messy, and incomplete data. But the very first experiments yielded significant results. Companies saved up a significant portion of money without a need for any additional investments.
Looking back Yury says that his key driver was a mental challenge. The development and maintenance of the project of such a technical level truly helped him achieve his intellectual potential and be happy, helping insurance companies work better and provide proper treatment for their clients.
As a person inspired by the challenge, Yury chose to deal with the most unprofitable of the company’s divisions – health insurance.
Oddly enough, back in 2000, the insurers in Eastern Europe did not profit from employer health insurance plans, leaving most of the pie to medical institutions and insurer brokers.
The largest chunk of payments was allocated to medical services, so it was only reasonable to look in there.
However big insurance companies couldn’t afford to dispute the prescriptions obtained from clients. They did have responsible people to check for fraud, but this could only help as much as to deduct serious abuse or violations, and though it saved the company some damage, was hardly enough to cover the expenses on these very specialists.
In 2016, while working in the industry, Yury discovered machine learning. It had been out there for a long time and was crazy expensive until someone decided to use video cards for data processing, which boosted ML technology.
The very possibility of a machine being able to learn how to identify abuse in prescription of services fascinated the future co-founder of MainsLab. Launching a project of this kind was impossible in a huge insurance giant such as Allianz with its rigidness and bureaucracy. So in the end Yury and some other ex-top managers of the insurer decided to start their own company.
The project was hard: founders had to deal with tons of unstructured, messy, and incomplete data. But the very first experiments yielded significant results. Companies saved up a significant portion of money without a need for any additional investments.
Looking back Yury says that his key driver was a mental challenge. The development and maintenance of the project of such a technical level truly helped him achieve his intellectual potential and be happy, helping insurance companies work better and provide proper treatment for their clients.
