Use case · AI & product
Ground your product in verified company data.
380M companies across 200+ markets in one schema, sourced from official registries rather than scraped from the web. Start on a monthly flat file and move to the API as you scale.
Volkswagen AG · Wolfsburg, DE
Just a snapshot. Our company records carry up to 500 attributes.
The problem
Why company data is the bottleneck
The incumbents are expensive, slow and rigid
The providers that work at this scale are costly, slow to contract, and restrictive about what you may build with the data — a poor fit for a team that just raised and needs to ship.
Three to five sources, stitched by hand
Covering EMEA and the rest of the world usually means several vendors plus a pile of national registries, each with its own schema, cadence and identifiers.
Scraped data breaks your product's credibility
When a customer challenges a record, “we found it on the web” is not an answer. A product that has to stand behind its answers needs a source it can name.
Evaluation takes weeks before you learn anything
Long procurement cycles burn the runway you raised to build with. You need a real sample against your own entities, not a sales deck.
Our solution
One schema, sourced from the register, delivered how you build.
Scale you can build on
380M companies across 200+ markets, with up to 500 attributes each — one integration in place of the three to five sources most teams stitch together.
Standardised company records across markets and datasets
Legal identity, firmographics, financials, group structure, tax IDs and locations resolved into one schema, so a record from one market parses exactly like a record from any other.
Registry-sourced and traceable
Every record resolves to the official register it came from, so your product can show its working when a customer challenges an answer.
No procurement layer to clear
A firmographics sample against your own entities within 24 hours, built by the data engineer you talk to directly — so you can measure it before anyone drafts a contract.
How it works
From a sample to production.
Tell us the entities you need
Markets, datasets and volume. You talk to the data engineer who builds the sample, not to a procurement process.
Measure the match rate yourself
We return a firmographics sample within 24 hours, so you measure match rate and coverage on entities you already know.
Ship on bulk, scale to the API
Take monthly flat-file delivery to reach production, then move to the REST API as your query volume grows. The schema does not change underneath you.
Time to value
From call to sample in days, not weeks.
Once you get in touch, we go from a first call to a sample of your own data in a few days. And when you come on board, you get 24/7 access to our team on Slack, so questions get answered fast.
acme-infobelpro
Shared channel · your team + InfobelPRO
Maria K. 23:47
When's the next data refresh landing?
InfobelPRO 23:52
Next delta lands Aug 1. I'll ping you when it's live.
24/7 access to our team on Slack, once you come on board.
FAQ
Frequently asked questions
Permitted scope is set in the licence agreement and typically covers analytics, scoring, entity-graph work and model development, with outputs allowed in your product. Scope is agreed per contract, so confirm the exact terms before you build against them.
Records are sourced from official registries rather than inferred from web pages, and each one is traceable to the register behind it. For a product whose answers get challenged by customers, that provenance is the point.
A firmographics sample against your own entities within 24 hours, so match rate and coverage are measured rather than promised.
Both. Most teams start on monthly bulk delivery to reach production quickly, then move to the REST API as query volume grows. The schema is the same either way.
Legal name and identifiers, address and geocode, industry codes, status, filed financials, group structure and tax IDs — up to 500 attributes per company, depending on the market and dataset.
200+ markets. Depth varies by dataset: financials and group structure are deepest in Europe, while firmographics and locations are worldwide. Coverage is published per country.