Companies House is one of the most valuable public data sources available to UK commercial teams. It is also frequently misunderstood.
The register can tell you that a company exists, when it was incorporated and a great deal about its formal structure. The Companies House API makes public company information available programmatically, with live data that can be consumed by other systems. That makes it an excellent source of commercial signals.
But a signal is not the same thing as sales intelligence.
What Companies House is designed to do
Companies House exists to incorporate and dissolve limited companies, examine and store company information and make that information available to the public. Its API exposes public register data in a structured way.
That is extremely useful. But the register was not designed to answer the questions a salesperson usually asks next.
Which person should I contact? Is this LinkedIn profile definitely the same individual as the director on the record? What does the person actually do professionally? Is the company commercially relevant to us? What contact channels can we use? Is the registered office a meaningful operating location or a service address? Should this opportunity be acted on today?
Those questions require another intelligence layer.
The identity problem
Suppose a new company is incorporated and its director is called James Smith. Searching LinkedIn for that name may produce hundreds of candidates. Even a less common name can create ambiguity when the new company itself has no website, social presence or search footprint yet.
A weak matching process finds the most plausible-looking profile and fills the field. A stronger process asks what evidence connects the public-register identity to the online identity.
Useful anchors can include geography, career history, industry, other directorships, company descriptions, professional profiles, education, public biographies and combinations of smaller signals. The precise evidence changes from case to case.
The objective is not to find a LinkedIn profile. It is to establish whether the candidate profile belongs to the person on the company record with sufficient confidence to use it commercially.
Why enrichment should come after identity
Once an identity is wrong, every subsequent enrichment step can compound the error. A mobile number may be perfectly valid but belong to the wrong James Smith. An email address may be deliverable but attached to somebody unrelated to the new company.
This is why we favour an identity-first workflow: resolve the person, verify the match, then enrich the confirmed identity.
It may produce fewer completed rows than a system optimised purely for field population. That is a feature, not a defect, when the alternative is confidently activating bad data.
From record to sales-ready opportunity
A useful workflow typically contains several stages.
Capture. Retrieve the relevant company signal and structured public information.
Filter. Apply the client’s actual commercial criteria. SIC codes can be useful, but they rarely express the full ICP on their own.
Resolve. Identify the people behind the company and locate candidate online identities.
Verify. Cross-check evidence and apply a confidence threshold. Ambiguous records should continue through research, be routed for review or remain unresolved.
Enrich. Add contact and commercial information only after identity has been established.
Activate. Deliver the intelligence to the client’s sales stack or route it into the agreed digital acquisition workflow.
Why speed changes the problem
New incorporations are particularly interesting because the commercial value can be time-sensitive. A supplier that learns about a relevant new business quickly may reach it before the prospect has selected an accountant, software platform, insurer, recruiter or other provider.
But the earlier you act, the thinner the online footprint can be. A company incorporated today may not yet have a website or company LinkedIn page. That increases the importance of evidence-led person matching rather than assuming the absence of company-level corroboration means the person cannot be resolved.
Speed therefore has to be balanced with confidence.
Completion rate is the wrong headline metric
Data vendors naturally like completion. Buyers like it too: a spreadsheet with every field populated feels valuable.
But for identity resolution, completion without confidence is dangerous. The more commercially consequential the next action, the more important it is to distinguish between a verified identity, a probable candidate and an unresolved record.
At Sentra, our New Incorporation workflow is designed around explicit evidence and confidence controls. The system can continue researching or withhold an identity rather than forcing an answer.
Companies House is the beginning, not the product
The public register is a powerful foundation. The commercial value emerges when it is combined with research, identity resolution, enrichment, classification and a route to action.
That is the distinction between company data and sales intelligence.
If you want to see what a newly incorporated company looks like after that intelligence layer has been applied, ask Sentra for sample data.
Source note: Companies House describes its API as providing access to public company information from the register, with live data available through its REST API. This article describes Sentra’s commercial workflow built around that public information; it is not affiliated with or endorsed by Companies House.