Taking the customers understanding to the next level

Unique AI&ML technologies for business decision making with mathematical precision

Products

BigDataCredit

Increasing the accuracy of credit scoring by 5-15 Gini percentage points based on data from the open sources.

BigDataSales

Optimizing cross-sell through in-depth understanding of customer needs based on open-source data.

BigDataSociety

Solving socially important tasks: searching for people prone to suicide or pedophilia.

BigDataAnalytics

Defining the real needs of your customers based on big data analytics of the open sources.

Increasing the accuracy of credit scoring by 5-15 Gini percentage points based on data from the open sources.

Our clients:

Banks and Microfinance

What we do:

We analyze the interests of the borrower, his activity and environment. On the basis of this information, we create a credit rating of the borrower.

Benefits:

By adding our data to the existing scoring model, banks and MFIs are improving their operational systems. Our software solution allows a significant increase of the scoring accuracy, both for customers who take a loan for the first time and for customers with a long credit history.

Mechanism:

In a real-time mode, artificial intelligence analyzes the profile of a potential borrower and provides a person’s credit rating along with a set of additional fields. Analysis of the client profile allows predicting with maximum accuracy not only the likelihood of repayment of loan funds but also whether a person is inclined not to return them in general - according to his personality traits or personal circumstances.

The format of the results:

Credit rating is transmitted via api in real time.

In addition, we can:

  1. Identify scammers.
  2. Check the correctness of data in applications.
  3. Improve the efficiency of communication with customers who are late in payment.

Optimizing cross-sell through in-depth understanding of customer needs based on open-source data.

Our clients:

Large and medium businesses with a wide product mix, for example, hardware stores, ticket offices, banks, online courses.

What we do:

We combine information about the client and his environment from open sources with information about the history of purchases. We build predictive models to tell which products should be offered to specific customers.

Benefits:

Increase of business profitability by increasing the efficiency of work with clients. The growth of loyalty among customers.

Details:

At the moment, companies can qualitatively analyze about 10% of their customers who make a large number of purchases. For customers who have made only a few purchases, it is impossible to make high-quality predictors without using external data. For this reason, we combine our data with the purchase history to work more effectively with the remaining 90% of customers. As a result, on the pooled data, we teach predictive models and suggest specific products for specific customers.

The format of the results:

At the first stage, we build a model which takes into account the product line of a specific customer. At the stage of use, data for each customer is provided in real time by api.

In addition, we can:

  1. Improve your decision-making systems: the more data, you have, the more accurate forecasts you can make.
  2. Create up-sell and next-sell models
  3. Build the most effective sales funnels for different types of clients: one type of clients loves bright pictures and short slogans, while others pay attention to clear characteristics or prefer personal communication; we will define such types among your clients and provide the argumentation of our conclusions.

Solving socially important tasks: searching for people prone to suicide or pedophilia, building map on how news spread, identifying fake news, bots and their influence on info space.

Our clients:

Public organizations, government agencies.

What we do:

We study the available information from open sources about the target audience: reviews, comments, interests, locations, likes, actions, and others to impose it on the information space.

Details:

We analyze digital traces of the desired target audience in open sources considering information which is only available to everyone. With the help of machine learning algorithms, we clear and structure information. We use our own neural networks and other algorithms for cleaning and structuring textual information. For each task, we develop a set of analytical tools, which allows us to obtain the maximum number of insights.

The format of the results:

Access to a personal account with large number of analytical tools. Information in your account is updated regularly.

Defining the real needs of your customers based on big data analytics of the open sources.

Our clients:

Banks, insurance companies, retail, online business.

The aim of the analysis:

To understand why some people buy a particular product, while others do not buy it, you need to understand what type of people made the target action and analyze in detail how they differ from all other customers. Internal data of the company is not enough to determine the type of clients. Our solution is to analyze digital traces of the desired target audience in open sources: reviews, comments, interests, locations, likes, actions, and to compare them with internal data.

Benefits:

Our approach to the analysis allows us to achieve the set KPI to attract new customers, as well as the work with existing customers predictable and most effective.

Details:

We collect information from open sources; using machine learning algorithms, we clean and structure it. We create predictors for describing the target audience: demographics, interests, opinion leaders, mass media, and many others. We describe a given audience with the help of these predictors and define the way it differs from other clients.

The format of the results:

  1. Onboarding. In a form of presentation, we show how to maximize the benefits of analytics for your business.
  2. Access to a personal account in which you will have the opportunity to track all the changes in real-time and build the necessary graphs in the different sections.

We value the confidentiality of our clients, so we do not disclose their names, but we can tell you about the tasks we solve for them.

About the company

The company was established in February 2016. 60% of our staff is data scientists. We independently develop neural networks and other algorithms for analyzing the meanings of texts, comparison of large volumes of information, cleaning and structuring heterogeneous data, searching for bots, and fake news. We are the only company in Ukraine and one of several in the world that implements such technological solutions. We have the most profound data on the market, which allows us to create the most effective analytical tools.

Numbers

Analyzed articles and posts
Analyzed comments
Profiles studied
Reactions and likes studied
Analyzed locations
Collected interests

We work in

  • Ukraine
  • Russia
  • Kazakhstan
  • Vietnam

We help companies become more efficient by understanding their customers.

The Big Data approach is a constant search for important tasks to solve

We believe that open sources of information and Big Data technologies can help in finding the solutions of many relevant business problems. We see great potential in solving the issues of mobile operators, insurance companies, tourism operators, e-commerce companies, and others. Therefore, we are open to cooperation in new industries.

If you have ideas that have not been implemented by us yet - let's discuss the cooperation

Media about us

Вакансии

Большинство сотрудников в нашей компании - data scientist, data engineer, business analyst.

  • Мы берем в команду студентов или недавних выпускников топового уровня (с 0.5-1.5 года опыта работы) и предоставляем возможность очень быстро расти
  • Для этого мы даем сложные и интересные задачи и помогаем их решать
  • Поощряем придумывание новых нестандартных подходов к их решению
  • Покупаем за счет компании билеты на образовательные мероприятия, конференции
  • Создаем правильную атмосферу. Намного проще тянуться к новым знаниям, когда тебя окружают единомышленники топового уровня

Мы предоставляем возможности для быстрого роста, а также комфортные условия работы в классном коллективе.

Jun/mid data scientist
  • Локация: Киев
  • Занятость: фулл-тайм
Data scientist intern
  • Локация: Киев
  • Занятость: фулл-тайм
Data engineer intern
  • Локация: Киев
  • Занятость: фулл-тайм
Jun/mid data engineer
  • Локация: Киев
  • Занятость: фулл-тайм
Jun/mid business analyst
  • Локация: Киев
  • Занятость: фулл-тайм