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Intelligent Business Contact Data Collection System
We automate the collection of verified company contacts from open sources for B2B.
The problem we solve
Finding reliable counterparties and establishing business connections requires time and accurate data.
Our system automates the collection of company contact information from open sources, turning fragmented data into a structured base for B2B interaction.
It is a tool for marketing, sales, and partnership management where every record contains verified contacts, websites, and organizational connections.
How it works
Building on the previous legal entity data aggregation project, we created:
High-Performance Website Processing
Python scripts analyze 244M+ websites, identifying company mentions across webpages, branding, and contact details.
ML-Based Verification
The system weighs results the way banks do: it evaluates 50+ parameters, including company identifier presence, name matches, and links to registration data, to determine whether a website belongs to a company. Prediction accuracy: 2M+ websites have been confirmed with high confidence, and 34M have been linked to companies with probable confidence.
Intelligence Module
Searches for additional data in search engines and social networks, expanding the database with 4M+ extra contacts including phone numbers, emails, and profiles.
Integration with the Previous System
Company data such as founders, finances, and brands is enriched with contacts and websites, creating unique company profiles.
Flexible Search and Export
Filters of any complexity: export data by geolocation, financial indicators, industries, contact availability, or website presence.
Custom Requests
If standard search is not enough, we assign a personal manager for manual parameter tuning and priority handling of the client’s request.
