Some of our clients

Some projects

Classifier of e-mails arriving on the technical support line

Web-service "Goga" is designed for automatic classification and routing of e-mail requests to the support line with the help of machine learning algorithms.

Technologies
  • SOAP
  • JS
  • IIS
  • MySQL
  • Python
  • Oracle
  • ML

Internet Bank for SKB Bank

Participation in the development of the Internet Bank "Business Bank" and "Gazenergobank". Development of new functionality for corporate clients users: Internet acquiring, accounting, trade acquiring, salary project, corporate cards, event feed.

Technologies
  • Angular
  • Rxjs
  • SaaS
  • Typescript

Chat-bot for calls handling of the technical support line

Chat-bot "Gosha" in response to the user entered a request to the support line automatically generates a response to the user. The answer is to determine the service, the operation that must be performed to meet the user's request and sends the request to a specialist.

Technologies
  • ASP.NET MVC
  • JS
  • IIS
  • MySQL
  • Python
  • Oracle
  • ML

Automated railway transport management system

Development of an automated control system for railway transport. The system is implemented as a web application running in real time, and consists of modules: reporting, directories, forms, administration. The application is available to users of the corporate network "OMK".

Technologies
  • ASP.NET MVC
  • Dapper
  • Oracle
  • Ext.NET MVC
  • FastReport

Web application «Shareholder of Sberbank»

A web application that in game form teaches players how to work with investments and work with stocks. Users are novice shareholders who are just starting to trade stocks. The possibility of selling and buying shares and receiving dividends. During the game, users gain new knowledge about the securities market.

Technologies
  • Python
  • Angular
  • HTML

Web application «EasyStocks Run»

A web application that teaches players how to invest in a playful way. The game has three levels. At each level, the player gets useful information about the investment. At the end of the last level, the player is asked to take a test and evaluate new knowledge.

Technologies
  • Phaser 3
  • HTML5
  • Typescript
  • Canvas

Conducting the thematic analysis of the data structure of the Service Desk service catalog

The analysis of the possibility of automatic routing of users' calls received by the IT service by e-mail was carried out based on the classification of calls using machine learning and data. The study included data analysis to identify the data structure. In the process of doing the work, data were prepared, the best machine learning model was selected for several markup options, thematic analysis was carried out.

Technologies
  • BigRTM
  • Python

Cloud service for automation of competitions and examinations

Cloud service to automate the collection of bids and examinations. The service is implemented in the SKOLKOVO Foundation and the Fund for the promotion of small enterprises in the scientific and technical sphere.

Technologies
  • Apache
  • Yii Framework
  • extJS
  • php
  • jQuery
  • html/css

Service for automated classification of scrap iron types

The solution for the classification of images of iron scrap types, which includes combinations of various architectures of convolutional neural networks and machine learning methods.

Technologies
  • Python
  • TensorFlow
  • Keras
  • ML

Online store warehouse automation system based on QR codes

Mobile system of accounting of goods chains from receipt to the warehouse to shipment to the buyer and after-sales service using QR codes.

Technologies
  • Android
  • Java
  • 1С:Enterprise 8.3
  • Web Services
  • ASP.NET
  • IIS

Remote accounting service

Cloud service for remote accounting and tax accounting. Work with clients is conducted through the developed web portal and mobile clients on Android and iOS.

Technologies
  • Android
  • iOS
  • Yii

Mobile application "SKB Online" for SKB-Bank

Delobank mobile application that allows you to pay contractors, to the budget or to confirm payments, to automatically check the business reputation of contractors before sending each payment, to create invoices for payment, to exchange documents with any accounting program, and other functions.

The application is available to users of mobile phones based on Android and iOS.

Technologies
  • Kotlin
  • iOS Swift

Service of booking cottages and small accommodation facilities in Karelia and Finland

Booking service for cottages, guest houses, huts and other small accommodation. The service was developed in cooperation with the Finnish company Karelia Expert Matkailupalvelu Oy.

Technologies
  • ASP.NET MVC
  • JS
  • IIS
  • MySQL

The system of intellectual analysis of the activity of trade enterprises

System mining trading companies methods data clustering, finding associations, classification, and time series analysis of data from the OLAP cube.

Technologies
  • Microsoft Business Intelligence
  • MS SQL Server
  • 1C:Enterprise 8
  • OLAP
  • R language

System of decision support based on system-dynamic modeling

Service for forecasting of financial and economic activity of the enterprise on the basis of the prepared system-dynamic models and a technique of system of the balanced scorecard (strategic cards).

Technologies
  • R language
  • JS
  • ASP.NET MVC
  • 1C:Enterprise 8.3

About our company

We have our own line of machine learning products, which are implemented in the largest companies of Russia. We make custom projects for the development of complex web and mobile applications. Our clients are major Russian companies, such us OMK metallurgical company, SUEK coal company , SKB Bank, Sberbank, SKOLKOVO Foundation and others. Portfolio of all projects – www.sysdyn.ru. We are member of the Neuronet industry Union, we have won and successfully implemented RnD grant from the Russian goverment innovation assistance Fund, and won The Russian Startup Tour competition in 2015.

Requisites

Technomedia LLC., Karelia, Petrozavodsk, Chapayeva st., 45, offices – 301-315.
INN 1001254842, KPP 100101001

Contacts

Director Igor Semenov.
E-mail: iosemenov@gmail.com