Collect structured company inputs
Capture legal name, country, tax ID, registration number and address as separate fields.
CUSTOMER ONBOARDING & KYB
Verify business customer identity with VAT, EIN and company-record checks. Build a clear KYB starting record for ownership, screening and onboarding review.
THE PRACTICAL ANSWER
Know Your Business, or KYB, starts by establishing which legal entity is applying for a service. Compare the applicant's name, country, registration number, address and VAT number or EIN with company evidence. VATFind supports this entity-resolution step. Use the selected company as the starting point for the ownership, screening, applicant-authority and risk checks required by your onboarding process.
THE WORKFLOW
Capture legal name, country, tax ID, registration number and address as separate fields.
Use multiple identifiers to identify the most likely registered legal entity.
Return the company identifiers, address, status, source and retrieval context.
Use the resolved entity for ownership, sanctions, PEP, adverse-media and policy checks.
WHAT VATFIND DOES
VATFind takes the submitted identifier and country, matches it to a source-labelled company record, and returns the legal name, registration number, address, company context, source and retrieval time. The workflow receives an explicit match, discrepancy, ambiguity, no-match or unavailable state instead of a generic pass/fail answer.
Evidence meaning: a verified association means the submitted VAT number or EIN is linked to the returned company record. It is not, by itself, confirmation of current tax-registration status, tax compliance or approval of the wider transaction.
For API checks, use vat_number outside the US and tax_identifier for US EINs. Optional fields can be absent when a source does not provide them.
CHOOSE THE RIGHT APPROACH
Identify the legal entity and jurisdiction. Reconcile the applicant's business identifiers and company-record fields.
Establish the relevant owners, controllers and people acting for that entity using the checks required by your process.
Bring the evidence together under the applicable policy. Record unresolved questions and who can approve the relationship.
CONTROL OWNERSHIP
A reliable workflow names who owns the input, who interprets the company evidence and who makes the wider decision. That separation prevents a data result from becoming an unexplained approval.
Create the legal-company starting record for the due-diligence case.
Define evidence, escalation and approval rules by market and risk tier.
Keep identity, ownership, screening and decision states technically separate.
DECISION DESIGN
| Stage | Evidence to retain | Controlled action |
|---|---|---|
| Applicant capture | Legal name, country, registration number, tax ID, address and applicant relationship. | Validate completeness and identifier type before external checks. |
| Legal-entity resolution | Source-labelled company record, match state, source and timestamp. | Confirm one entity or route ambiguity and field discrepancies to review. |
| Due diligence | Ownership, controllers, screening, operating and risk evidence from separate controls. | Assess the policy against the resolved company without collapsing results into one unexplained flag. |
EXAMPLE WORKFLOW
A sales-led onboarding case arrives under a group brand, while the contract will be with a subsidiary. Resolve the subsidiary's country and registration number and compare its submitted tax ID. Attach that local company to the case before ordering later checks. If the applicant supplies a parent record instead, request the missing subsidiary information. Keeping the entities distinct prevents the case from accumulating apparently complete evidence about the wrong business.
See the API requests and responsesIMPLEMENTATION CHECKLIST
WHAT TO MEASURE
Track operating quality rather than claiming that a company match guarantees the downstream outcome.
READ THE RESULT CORRECTLY
VATFind establishes the company-record match. It does not by itself verify beneficial owners, controllers, sanctions exposure, operating activity, bank ownership or the applicant’s authority to act for the company.
Review data and limitationsFREQUENTLY ASKED QUESTIONS
Place it near the start so the later ownership and risk checks run against the correct legal entity and jurisdiction.
No. They answer different questions and should remain separate fields. Using both improves entity resolution and exception handling.
Treat no-match as an exception requiring corrected inputs, supporting documents or another authoritative source. Do not label the applicant fraudulent solely because no record was returned.
No. It provides the legal-company starting point those checks require.
Business verification establishes facts about the company, including its identity and registration context. Customer due diligence is the wider process of understanding the relationship and assessing the evidence required by policy and applicable obligations.
A no-match should trigger an investigation of the inputs and available coverage. Ask for stronger identifiers or supporting documents where appropriate. Record the eventual decision separately from the company-search outcome.