How Clean works

From dated records to buyers with a reason to buy.

Clean watches government filings, shipping records, company sites and the trade press, and keeps a dated record of what each company does. Its own datasets fill the gaps, and the order of events shows who has a reason to buy.

  1. Clean watches government filings, trade and shipping records, company sites and the trade press, and records what changes.

  2. Clean's own datasets and licensed company data fill the gaps, and every record is matched to the right company.

  3. Each company's records go in the order they happened, then Clean reasons through them until they add up to a reason to buy.

  4. You get the company, why it's worth reaching, the records behind it, and the right people to talk to.

01

What counts as a record

Something a company did, with a date and a source: a loan against a new building, a permit closed out, machines cleared through customs, a contract awarded, a supplier switched. Fleet and safety filings and the trade press count too.

02

Why one record isn't enough

A permit on its own could mean anything. A building loan, then the permit closing out, then new machines arriving says a plant is about to open a new floor. Clean only calls it a reason to buy when the records add up.

03

Tying each record to one company

Records name companies in different ways: a trade name, a subsidiary, an old street number. Clean works out which company each record belongs to, so one plant doesn't show up as three prospects.

04

What you get, and what Clean leaves out

For each company: why it's worth reaching, the records behind that reason, the contact window, the people to contact with verified email and phone, and who on your team can introduce you. Prospects sync to HubSpot or Attio. Clean doesn't use ad clicks, page views or other intent data, and it never sends anything.

Common questions

How is Clean different from intent data platforms?

Intent platforms guess who is in market from ad clicks, page views, and content downloads. Clean uses none of that. It watches what companies actually do: a loan that funds a new building, a permit, a customs shipment, a contract won. It reads those records together, reasons through them, and tells you why a company is worth reaching.

Is this scraped data?

Not scraped contact lists. Clean works from dated records of what companies do (loans, permits, customs shipments, contract awards), its own datasets and licensed company data, and it keeps the source behind every record so you can check it. The people at each company come from licensed data providers, so Clean names them without any integration connected. Work emails and phone numbers come from licensed contact-data providers and are verified before they show. If your team connects LinkedIn, Clean also searches LinkedIn and reads profiles through it, read-only, to find and confirm the right people and show who can introduce you.

How long does setup take?

Vivameda had its first working search within a couple of hours.

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