CRM Data Cleansing

Every record is mapped onto a stable company ID. Records pointing at the same ID are the same business, whether they read "GmbH", "G.m.b.H.", or carry a typo. You get the ID in the output and decide yourself whether we merge or only flag; how group subsidiaries and branch sites are treated is agreed during the project.

Two numbers that are easily confused. Across a typical, organically grown CRM list, experience puts 60–80% of rows in reach — that is the figure the cost estimate is based on. Looking only at the registered legal forms within it (GmbH, AG, registered merchants), the rate is 85–95%. The difference is associations, sole traders, foreign-registered entities, and rows with a bare name field and no location. Which figure applies to your list is what the free pre-analysis tells you.

They are flagged, not silently dropped or guessed. The same goes for companies that are no longer active and for records that cannot be matched to exactly one company — the output tells you why a record stayed open.

The database is updated daily. Commercial register entries and deletions, changes in management, address and legal-form changes flow in continuously. Revenue and headcount figures come from the most recent available annual reports and are therefore older by nature.

Excel by default, in the same row order as your source file plus your own reference ID, so you can load it back without rework. Full exports come as JSONL, other formats on request. For ongoing processes there is the REST API.

Pricing follows the number of uniquely matchable companies and the data modules you select, starting at €299 net. The pre-analysis is free: you get the numbers first and the quote second, not the other way round.

Yes. Implisense is based in Berlin; processing and hosting take place in Germany and the EU. The basis is public registers and publicly accessible company sources. For processing your uploaded list we sign a data processing agreement on request.