News sites, social networks, corporate resources, and open databases — all in a single, secure space. This eliminates the chaos of disparate sources and gives users centralized control over the entire news agenda.

The system monitors sources, extracts entities, classifies content, and determines sentiment. The user simply works with the results, saving analysts tens of hours of time.

Text analysis modules identify connections between events and companies, predict risks, and build a connection graph. SpiderAgent collects information and helps identify trends.

Each mention is automatically attached to the monitored object's profile. This creates a living "chronicle" of the activities of companies and persons: from news to social media posts. The system automatically aggregates duplicates, creates a chronology, and allows you to track how the information landscape changes.

Мониторинг происходит в режиме реального времени, с задержкой не более двух часов. В результате пользователи узнают о значимых публикациях, изменениях настроений и репутационных всплесках первыми - ещё до того, как информация становится достоянием общественности

The system is built on multi-level security principles. Each user is assigned their own rights and roles, ranging from a simple observer to an administrator. All operations are logged, and access is provided through secure data channels.

A flexible reporting system allows you to create visual summaries based on any metric — from mention frequency to sentiment distribution. Data can be filtered by time, source, and topic.

The system can be integrated with corporate ERP, CRM, BI systems, or internal data warehouses. This provides end-to-end analytics and the ability to automatically transfer monitoring results to other business processes.

The flexible architecture allows for easy expansion of sources and users without sacrificing speed. An optimized DBMS ensures stable operation even with tens of thousands of news items per day.