The right way to prospect KBO data

What Prospexi unlocks from KBO data

• ICP-scored prospect lists from KBO

  You describe your ideal customer (sector, size, region, founding year, ownership shape). Prospexi scores all 1.94M KBO companies against that profile. Top matches surface every morning.

• Founding date, active status, VAT — clean and filtered

  The raw KBO export is messy: mixed active/inactive statuses, half-populated fields, duplicate VATs. We clean and score continuously; you never touch raw KBO data.

• Directors and ownership from the Staatsblad

  KBO is cross-referenced with Belgian Staatsblad publications. New director appointments, capital changes and ownership shifts show up as buying signals in your score.

• NACE-based sector filtering that works

  Full NACE hierarchy respected: you filter on category 62 (IT) and get every sub-code, not just exact matches. Sectors that need it get manual expansion (creative industries, energy).

What raw KBO data alone can't give you

• Fit against your ICP

  KBO gives you 1.94M rows. Your ICP is 200 rows. Scoring bridges the gap; raw KBO doesn't.

• Financial signals

  KBO holds registrations, not financials. For revenue, EBITDA and employee count you need NBB financial statements, which Prospexi merges into every score.

• Buying signals

  KBO changes when a company changes legal status. It doesn't tell you they won a subsidy, hired 3 people, or got mentioned in an award. Signals come from Staatsblad, NBB, VLAIO and job-site scraping.