Shipvane · 4 AE roles
Marco E. · joined Cargolio
Fleetora · first roles in DECompanies and the people who decide there_
Every company record built from the company's own website: what they sell, who they sell to, size and tech. Decision makers joined on, normalized by function and level, with verified emails as an option.
- 41.5M companies across the US, the UK and the EU
- Offering, buyers, size, locations and tech, from the company's own site
- People normalized by function and level, with the month they started
- Verified emails as an add-on, checked at the mail server
What is in the files
2 files, joined on the company domain. Pick one to see its fields and a sample record.
One row per company.
domainPrimary keynameCompany namelinkedin_urlCompany pageofferingWhat they sell, in plain languagesells_toCustomer types and industriesbusiness_modelB2B, B2C or bothemployeesHeadcount rangehqCity and countryofficesEvery office the site liststechTools detected on the site and in job adsoutbound_*Signs they run outbound themselvessourcesPages each fact came fromcrawled_atWhen we last read the site{
"domain": "parcelyn.com",
"name": "Parcelyn",
"offering": "Post-purchase tracking and notifications",
"sells_to": ["retail brands", "e-commerce"],
"business_model": "b2b",
"employees": "51-200",
"hq": { "city": "Munich", "country": "DE" },
"tech": ["salesforce", "segment"],
"crawled_at": "2026-10-11"
}On your schedule, in your stack
Parquet, CSV or JSONL
Parquet for warehouses, CSV for everything else, JSONL for pipelines and language models.
Your bucket or a link
Files land in your S3 or GCS bucket, or arrive as a signed download link.
Monthly full snapshot
Weekly changes file. Scoped extracts on request.
Pick a scope
Countries, segments, functions, or a list of domains.
Check a sample
A sample file for your scope, before you commit.
We set up delivery
Format, destination and schedule.
Files land
On schedule, with a manifest per drop.
Built so you do not have to clean it
Read from the source
We crawl each company's own site, so offering and buyers come from what they say, not from an industry code.
Every fact with its page
Provenance fields show where each value came from and when.
Normalized roles
Thousands of title variants mapped to one function and one level.
Verified emails
Checked at the recipient's mail server before delivery.
Teams that build on this data
CRMs and sales tools
Enrichment for your users, without building a crawler.
Agencies
Your own copy of the market for every client.
Data teams
TAM models and territory planning in your warehouse.
AI products
Grounded company context for agents and search.
Not ready for bulk? Use it live
The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
Plays on the same data
More companies like your best customers
Match on what they sell, who they sell to and their size, then rank the rest of the market.
Size a market before you build a list
Count every match, split by country, size and tech, for free.
People engaging with posts in your space
Who liked or commented on a competitor's or creator's posts this week.
Company and People dataset: questions
How many companies and people are in it?
41.5M companies across the US, the UK and the EU. The people file depends on the scope you choose; count it free before you order.
Can I scope it?
Yes: by country, size, offering, tech, or a list of domains.
Are emails included?
As an add-on. Each email is verified at the mail server before delivery.
How is it licensed?
Per use: internal use, or embedded in your product. Talk to us about yours.
Other datasets
Get a sample of
the company and people data
Tell us your scope and we send a sample file. Or query the same data over the API with 1,000 free records.