We match your supplier, customer or CRM company records to official register entities, merge duplicates, and return register IDs, statuses and a confidence score for every match.
Data service · Listing updated 11 Nov 2026
Europe
Projects from 10,000 to 20 million input records
Small and medium businesses, Mid-market, Enterprises, Public sector
Your input files matched against Grundwerk's European registry database
Deterministic and probabilistic matching with analyst review of low-confidence matches
A managed project that turns messy company lists into clean, register-backed records.
You send one or more files of company records in any layout. We standardize names, addresses and identifiers, match each record to the Grundwerk European registry, cluster duplicates within and across your files, and return every input row with its matched entity ID, registration number, legal name, current status, match method and confidence. Low-confidence matches are reviewed by analysts, and anything we cannot resolve is listed with the reason. A short report summarizes match rates by country and source system.
Matching uses registration numbers and VAT IDs where present, then language-aware fuzzy matching on names and addresses, with transliteration for Greek and Cyrillic records. Typical projects cover 10,000 to 20 million records. Standard turnaround is five to ten business days after we receive the files; larger projects get a schedule. We process data under a data processing agreement on EU-hosted infrastructure and delete your files 30 days after delivery unless you ask us to keep them for a recurring refresh. A free pilot on 1,000 records shows the expected match rate before you commit.
10 fields as documented by Grundwerk Company Data.
| Field | Type | Description | Example |
|---|---|---|---|
| input_record_id | string | Your original record ID | — |
| matched_grundwerk_id | string | Matched register entity ID | — |
| match_confidence | number | Score from 0 to 1 | — |
| match_method | string | registry_number, vat_id, fuzzy_name_address or manual_review | — |
| duplicate_cluster_id | string | Shared ID for records that are the same company | — |
| legal_name | string | Registered legal name | — |
| registration_number | string | Register number | — |
| status | string | Current register status | — |
| country_code | string | ISO 3166-1 alpha-2 code | — |
| review_note | string | Analyst note for unresolved or ambiguous records | — |
Free sample available on request
The provider sends a sample file so you can test fit and quality before you buy.
Prices in EUR, as published by Grundwerk Company Data
project up to 100,000 records
per record above 100,000
Converted amounts use DataStoa display rates and are approximate. Grundwerk Company Data quotes the final price, taxes and terms.
Request detailed pricingEurope.
Time coverage: 2010 to present.
Provider-reported
DataStoa has not audited these figures. Ask the provider how they are measured, or test them on a sample.
The licence is agreed directly between you and Grundwerk Company Data. This summary is provider-reported; the linked terms prevail.
Not listed: AI / ML model training, AI retrieval and grounding, redistribution allowed, marketing and outreach, research use. Ask Grundwerk Company Data if you need any of these.
Official European company registers, ownership and KYB in one schema
Grundwerk collects company records from 33 official European business registers and maps them to one schema with stable entity IDs. Compliance, credit and sales teams use it to verify companies, trace ownership and build accurate account lists.
Also available on: Snowflake Marketplace, Microsoft Azure, Databricks Marketplace
What buyers say about Grundwerk Company Data. Reviews cover the provider, not only this listing.
from 3 reviews
We sent a messy export with duplicates in four languages. They returned registry IDs for most accounts, a duplicate cluster file and a short list of low-confidence matches to review by hand. Finished inside the quoted two weeks.
Anja F., CRM manager, Industrial software vendor
Beneficial-owner access differs a lot by country, and the ownership graph labels exactly where data is official, where it is derived from shareholder filings and where it is missing. That clarity mattered more to us than raw coverage. The API has been stable for eight months.
Pieter V., KYB product owner, Business banking fintech
We used to maintain separate scrapers and contracts for a dozen registers. Grundwerk gives us one schema with the original register reference on every record, which our auditors liked. Officer data is thinner for a few countries and the documentation says so upfront.
Lena M., Head of compliance operations, Payments provider