LLC "Company BIT"

Date of incorporation: April 17, 2017

Registered address: Office 506, Building 6A, Radishcheva Street, Yekaterinburg, Sverdlovsk Region, 620014, Russia

Business address: Office 506, Entrance 1, Building 6A, Radishcheva Street (Suvorov Business Center), Yekaterinburg, Sverdlovsk Region, 620014, Russia

Taxpayer Identification Number (INN): 6685131316

Tax Registration Reason Code (KPP): 667101001

OKPO: 15084965

Primary State Registration Number (OGRN): 1176658039601

Business activity: Development and use of databases and information resources.

Solutions

Stop-Shoplifter Information & Analytical System (IAS Stop-Shoplifter)

LLC "Company BIT" is the copyright holder and exclusive owner of the Stop-Shoplifter Information & Analytical System software.

The exclusive rights are confirmed by the State Registration Certificate for Computer Software No. 2018614959, dated April 19, 2018.

Programming languages:

• C#
• TypeScript
• T-SQL

Framework

• .NET Framework Core

Database

• PostgreSQL 16

Operating System

• Ubuntu 24

Russian Software Register

IAS Stop-Shoplifter is included in the Unified Register of Russian Software.

• Registration Date: January 28, 2022
• Register Entry No.: 12739

The software is distributed under a simple (non-exclusive) software license.

IT Company Classification

Primary OKVED Code

62.01 — Computer Software Development

IT Activity Codes

• 1.01 — Design, development, customization, modernization, implementation, integration, configuration, testing, maintenance, technical support, operation, and consulting services related to software, databases, and user interfaces.
• 2.01 — Licensing, distribution, remote access, cloud delivery, sale, publication, leasing, and other methods of providing software products, databases, and information security solutions.

Product Overview

IAS Stop-Shoplifter is an AI-powered information and analytics platform designed to reduce retail shrinkage and support loss prevention operations.

The solution is intended for:

• retail stores;
• distribution centers;
• warehouses;
• other facilities handling inventory and valuable assets.

Key capabilities include:

• reducing financial losses caused by shoplifting;
• automating routine security workflows;
• supporting loss prevention personnel through intelligent analytics;
• preventing incidents before losses occur;
• reducing the number of unpaid goods and security-related conflicts;
• seamless integration with enterprise ERP, POS, and other business management platforms, making the system suitable for a wide range of retail and fraud prevention scenarios.