B2B sales · Northern Italy
New-customer research — qualified contact lists from public data
The starting situation
Expanding into a new region or market means starting from zero: there’s no list of who’s even worth approaching. Researching suitable companies by hand — finding them, gathering contact details, judging fit — costs days and still ends up patchy.
How we solve it
We build the list automatically. A crawler pulls companies from public sources such as published tender results, business registers and trade directories, removes duplicates and enriches each entry with address, VAT number, website and a contact person. An AI model sorts the contacts by trade and acquisition potential. Everything lands ready to use in your system.
What you get
A new region becomes reachable in weeks instead of months. Instead of a blank page you get a clean list, ranked by fit, that flows straight into your outreach. Growth scales with data, not with extra headcount.
Do you recognise a similar process in your company?
If this use case feels close to your daily work, we can assess data availability, effort and a realistic first MVP together.
Why AI projects work →This use case is based on a real client project. Sector and region are named, the company itself remains anonymous.