LENDER RESEARCH

The Companies House Playbook for UK Specialist Lender Origination

Most specialist lender origination in the UK runs through brokers. The Companies House and Gazette data sits underneath the broker layer, fully public, and gives an originator the ability to identify and approach borrowers directly before the broker conversation starts.

UK specialist lender origination is dominated by broker channels. Brokers know their clients, package the deals, and present qualified borrowers to a panel of lenders. For most lenders, this remains the right primary channel. But it is not the only channel, and it leaves a meaningful slice of the addressable market unaddressed.

The slice that broker channels miss: borrowers who have exhausted their broker relationships, borrowers who have never used a broker, borrowers whose situation is too time-sensitive to wait for a broker to package, and borrowers whose lender stack is multi-relationship rather than single-broker. Direct origination against the Companies House and Gazette data sits underneath those gaps.

What the data actually contains

Three public registers together form the data foundation:

Individually, each register is useful but fragmented. The commercial value comes from cross-referencing the three so that a single record (a UK property company) carries its directors, its properties, its lender stack, its charge ages, and its distress signals in one row.

The five-step lender prospecting motion

An originator running direct prospecting against this data typically follows the same five-step motion:

  1. Define product fit. Bridge term length, LTV band, asset type, geography, minimum and maximum loan size.
  2. Convert product fit to signal filters. Each product attribute maps to a Companies House filter (e.g. "12-month refurbishment bridge for a single SPV with one freehold title" = SPV with single title + active first-charge BTL aged 11 to 14 months).
  3. Pull the matched prospect list. Typically 200 to 2,000 companies per quarter depending on product breadth and geography.
  4. Sequence outreach. Director-level mail, email, or call grounded in the observable charge/Gazette/title fact. ("We've noticed your facility with X is now Y months over its expected term...")
  5. Convert through pipeline. Typical conversion from outreach to indicative quote is 4 to 12%; from indicative quote to facility 15 to 30%. Net 0.6 to 3.6% of outreach to facility.

Where direct prospecting beats broker channels

Three specific cases:

Where direct prospecting does not replace broker channels

For clean originations on standard products with no time pressure, brokers remain the more efficient channel because they handle qualification, packaging, and borrower management at lower marginal cost to the lender. Direct prospecting is additive to broker flow, not substitutive.

What an originator should not do

How GalimAI operationalises the playbook

The portal sits on top of the three public registers. Lenders configure their product-fit filter stack, the portal returns the matched prospect list with director-level contact data, and the lender runs outreach through their own CRM. We do not write loans; we surface the prospect universe and the contact path.

For lenders running an in-house origination function alongside broker flow, the direct-prospect motion typically adds 15 to 30% to overall origination volume.

+15 to 30%
Typical volume uplift for UK specialist lenders adding direct Companies House prospecting on top of broker channel.

England & Wales coverage on the property linkage; UK-wide on the company and Gazette layers.

Operationalise the Companies House playbook

GalimAI surfaces UK property company prospects by product-fit filter stack, with director-level contact data. Lenders use the portal as their direct-origination layer alongside broker channels.

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FAQ

Does GalimAI write or arrange loans?

No. The portal surfaces borrower prospects from public data. Lenders use the lists to drive their own origination.

How does this comply with marketing rules?

Outreach to corporate borrowers based on public Companies House data is permitted under UK marketing rules, subject to standard B2B marketing requirements (CAN-SPAM equivalent compliance, opt-out handling, etc.). Lenders are responsible for their own outreach compliance.

What CRM integrations are supported?

CSV export is universal. Direct integrations with major specialist lender CRM platforms are on the roadmap.

Is the data accurate enough for regulated lender use?

The underlying sources (Companies House, Land Registry, Gazette) are the regulated reference data themselves. The portal does not modify the underlying data; it indexes and cross-references it.

How fast can a new lender be onboarded?

A new lender can be running their first prospect list within an hour of portal access. Filter configuration takes 15 to 30 minutes per product.