We integrate business and entity verification into lending flows that onboard companies rather than individuals. The work covers registry coverage across GST, the MCA, Udyam and bank account validation, entity resolution when those sources disagree, and a documented ownership trail. The output is a flow that can distinguish a genuine mismatch from a data-quality artefact.
Why business verification is a different problem
Individual verification has a comforting property: there is usually one authoritative source per identifier, and it either has a record or it does not. Business verification has no such property, and teams that build it as though it does end up with a flow that rejects real customers.
An operating business in India leaves traces in several systems that were built independently, for different regulators, at different times, with no shared key. The Goods and Services Tax system knows a registration number, a legal name, a trade name, a status and a filing history. The Ministry of Corporate Affairs knows a corporate identity number, an incorporated name, a registered address and a list of directors with their own identifiers. Udyam knows an MSME registration and a classification. A bank knows an account and the name it is held in.
None of these agree on how to spell the business. A private limited company routinely appears in one register with its full legal suffix, in another without it, and on a bank account under a trade name that appears in neither. A human looking at the three records has no difficulty concluding they describe one business. A string comparison concludes they do not, and the applicant is declined.
The second structural difference is that the question being asked is harder. For an individual, the question is whether this person is who they claim to be. For a business, the question is whether this entity exists, is currently active, is what it claims to be, and is controlled by the people presenting themselves as being in control of it. The last of those is not a lookup.
What the engagement covers
- Registry coverage design — which sources your flow actually needs for the entity types you lend to, which is a different list for a private limited company, an LLP, a partnership and a proprietorship. Running every check against every applicant is expensive and produces failures that mean nothing.
- Entity resolution logic — the matching rules that decide when two records describe the same business, including normalisation of legal suffixes, transliteration variance, punctuation and address formatting, with the thresholds written down rather than buried in a comparison function.
- A manual review path with defined triggers. Some mismatches genuinely cannot be resolved automatically, and the correct engineering answer is to route them to a human with the conflicting records displayed side by side, not to loosen the matching until the queue empties.
- Director and signatory verification, linking the individuals named in filings to the people actually presenting themselves in the application.
- An ownership trail that records what was established from registry data, what was established from submitted documents, and what was accepted on attestation — with the boundaries between those three explicit.
- Status monitoring design for entities you continue to lend to, because a registration that was active at onboarding does not stay active.
How the checks fit together
The sequence matters more here than in individual verification, because each check narrows what the next one needs to establish and because the expensive checks should not run against applications that will fail a cheap one.
We normally anchor on the entity's registered identity first, since that returns the legal name and status that everything downstream compares against. Tax registration follows, which is where an inactive or non-filing business usually reveals itself. Classification checks matter where the product is segment-specific — an MSME lending product priced on classification needs that classification to be verified rather than declared.
Bank account validation deserves particular attention because it is where entity verification meets payment risk. Confirming that an account exists is not the same as confirming that the entity you have just verified controls it, and the name returned by an account validation is frequently the trade name rather than the registered name. That mismatch is normal, and a flow that treats it as fraud will decline a large share of legitimate businesses.
Throughout, we keep the distinction between a negative finding and an unavailable source. A registry being unreachable is not evidence that a business does not exist, and a flow that conflates the two will produce declines that nobody can explain to the applicant afterwards.
Beneficial ownership, stated honestly
Establishing ultimate beneficial ownership is where automated business verification reaches its genuine limit, and we would rather say so during scoping than discover it during an audit.
APIs establish the registered layer well. They will tell you which individuals are named as directors or partners, and they will do it reliably. What they cannot do on their own is resolve ownership held through holding structures, ownership that sits below a disclosure threshold, or control exercised by someone who appears in no filing at all. Any part of the chain that requires reading a shareholding pattern, a partnership deed or a trust instrument is a documented manual step.
We design the flow so that the boundary is visible in the record: this was established from a registry, this was established from a document the applicant supplied, this was accepted on the applicant's declaration. An ownership trail that blurs those three categories looks complete and is not, and the difference surfaces at exactly the wrong moment.
Compliance context
Customer due diligence for non-individual customers sits under the same Reserve Bank of India Master Direction on Know Your Customer as individual onboarding, available at rbi.org.in, but the obligations it sets out for entities are materially different. The identity to be established is the entity's, the documents that establish it vary by constitution, and the requirement to identify the individuals behind the entity has no analogue in individual onboarding.
Read the Master Direction directly rather than a summary. The requirements differ by entity type in ways that a condensed table flattens, and the flattening is where non-compliance gets built.
Where we fit
Most teams that call us about business verification already have something working for individual customers. The instinct is to extend it, and the extension is where the trouble starts, because the assumptions that hold for one person and one identifier do not survive contact with four registries that disagree.
We build the entity layer as its own thing, with its own matching rules, its own review queue and its own audit trail, integrated into the flow you already have rather than replacing it. If you are also building or fixing the individual side, that is KYC API integration and the two are usually scoped together.
Registry coverage is worth checking before you sign rather than after. Where a provider's coverage is genuinely thin for the entity types you lend to, we will tell you — including when that provider is one you have already signed with.