Machine learning can automatically create and refresh an algorithm for solving a complex problem based on a large volume of data. It’s not necessary to search for business-important patterns. Instead, a team of qualified professionals should prepare the right data set for training and automate the entire data processing and application process. But at the same time, it is very important to ensure the quality of data and continuous quality control of algorithms.

Wealth management platform connecting investors with a professional wealth-advisory company, allowing investors to answer a questionnaire and receive either a recommended model portfolio or a custom-tailored individual portfolio, that is further monitored, rebalanced and adjusted by a professional wealth-adviser based on the changing market conditions and client’s goals.

The healthcare claims management system is a web app that helps medical insurance auditors making a judgment on the claims issued by the medical aid providers. It reduces the costs of claims auditing process and fraudulent risks or human mistakes with the help of machine learning algorithms.

A money saving app that enables users to track spendings and monitor balances of linked credit cards and bank accounts, plan their finances, and automatically transfer money to savings or brokerage accounts. The app helps develop healthy financial habits with gamification features and supports viral marketing with social functionality.

Patient-centric AI-based health record exchange platform that connects to hospital’s patient management systems, assembles and securely stores users’ health data. This platform allows the patient to own his personal health data and provide access to it other healthcare organizations on demand.