Who are we

WE ARE A BIG DATA AND CREDIT SCORING

Retail lending is one of the most popular and prioritized businesses in financial industry as well as demanding the most attention. Lending to potentially bad borrowers may substantially harm bank or credit union therefore this process must be addressed systematically by setting up automated and effective borrowers scoring process.

This problem is solved by our product:
We effectively score borrowers using big data.
We retrieve additional statistical data to conduct further communications with existing borrowers.
Optimize credit portfolio to minimize payment overdues and defaults.

OUR SKILLS

Algorithms
Development
Service
Business processes
Management

TECHNOLOGIES AND ALGORITHMS

During the development of software we use the stack of technologies from Microsoft:

  • .Net
  • Azure cloud
  • C#
  • technologies CUDA

icon technologies

Our algorithms and models of analysis are based on:

Group of self-learning neural networks; Systems of normalization of input parameters and semantic analyzer for parsing of text information; Formation of psychological profile of potential client; Method of clustering data; Classical scoring systems.

INSTALLATION METHODS

Software and Hardware

Cloud Computing

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How it works

icon 1 phaseFirst phase

Service setup

Second phase

Analysis of the data
in our system

Third phase

Result

BENEFITS FOR CLIENTS

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Efficient scoring (real time scoring based on behavioral analysis) of potential borrower based on analysis of “big data” in the moment of loan processing, loans support and after-sales servicing.

Receipt of additional statistics based on analysis of financial and nonfinancial data set for further communication with client with the purpose of increasing conversion of offered financial and nonfinancial products.

Automatization of workspace of credit analyst, formation of the range of roles for automatization of loans granting process, loans portfolio support and offering clients relevant services in real time.

HOW IT LOOKS

Our Team

Anton Vokrug

Anton Vokrug

CEO, Kyiv

age 32

More than 10 years in IT business. Successful sale of several businesses. Management of several IT-companies (Eureka! Solutions, Ticket Solutions). Working as technical analyst in FISON fund.
Education: Management on goods and services market, Kyiv National Trade and Economic University, Department of Economics.

Alexander Gandzha

Alexander Gandzha

CТO, Kyiv

age 36

More than 15 years of development of software and web-services, perfect acknowledge of web technologies (.Net, C#, C++, MS Azure, Java, PHP, Ruby).
Education: Applied mathematics, Taras Shevchenko National University of Kyiv, Department of Cybernetics.

Elena Khlevnaya

Elena Khlevnaya

Marketing, Kyiv

age 32

More than 10 years of marketing and promotion. Co-founder of venture capital fund FISON. One year of work as a board member of ukrainian syndicate UAngels.
Education: Prydniprovs’ka State Academy of Civil Engineering and Architecture: Computer-Integrated Technologies. Academy of Business and Law: management innovative activity.

OUR CONTACTS

GET IN TOUCH

Got a question? Have an idea? Want more information? Let’s start talking!

THE STUDIO

Voloska St. 29, Kyiv city, office 2
+38 (093) 414-29-32
anton.vokrug@gmail.com

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