AI Lead Generation in Ghent

Why here

For a Ghent research company the buyer is not a company but a department, and that department rarely sits neatly in a commercial database. The reason to buy shows up in a publication, an awarded research project, a conference programme or an announcement that equipment is being replaced. Those are public sources no lead tool automatically ties to a named contact. We build that link: first the research domain your product belongs in, then the institutions and companies active in it, and only then the person who controls that programme's budget. Alongside it runs a second list for the canal zone, on entirely different logic: there the audit cycle and the date a supply contract is reviewed are what count. Two lists, two enrichment rules, one system. What we build sits in your environment and your company owns it, code included.

No list of offices — just honesty: we work remote-first and come on-site where it truly matters, by plane if that is what it takes. Travel costs are charged on.

Our approach

Both of your buyer profiles are recorded in the first days, each with the signal that proves something is live right now. Then we build the research list from open sources and check it by hand, because a misassigned department makes the conversation implausible from the first line. In parallel we enrich the industrial accounts with audit status and review dates. By the end the qualification scoring sits in your CRM and every lead shows why it was passed on.

Frequently asked questions

  • Our buyers are research departments. Are they even in the databases you use?

    Partly, and usually not completely enough. A commercial source gives you the company and a job title, but not which programme is running or who holds its budget. We pull that layer from public information: project registers, publications, conference programmes and the organisation's own site. The result is a smaller list than a tool would hand you, with a reason per contact for approaching them now.

  • How do you stop a researcher from being treated like an ordinary lead?

    By making the first message substantive and tying follow-up to something that concerns them. Someone who spends their days in a lab recognises a sales template within two lines, and a second reminder with no new content costs you the rest of the contact. So the setup fixes the rule that every follow-up adds something: a measurement, an application, a change in a standard. Otherwise it does not go out.

What you invest depends on what we build. The homepage says where it starts.

See the ways we work together

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