Every bridging and development lender in the UK faces the same problem at origination: the borrower is almost always an SPV, and the SPV is almost always a shell. The real risk sits with the individuals behind it — the directors, the PSCs, the beneficial owners who control the capital structure and make the decisions that determine whether your facility performs or defaults.

Until now, most lenders have handled this with a manual process. Google the name. Skim Companies House. Maybe check a sanctions list. Hope for the best. The process is slow, inconsistent, and full of gaps — especially when a sponsor has a common name or operates through multiple corporate layers.

Today we are launching Sponsor Screening on Loan Intel — a purpose-built tool that automates the due diligence process for the individuals behind borrower SPVs.

What Sponsor Screening Does

When you search a borrower SPV on Loan Intel, the platform now automatically identifies the key individuals behind it — directors and persons with significant control — by walking the Companies House PSC chain up to four corporate layers deep. For each individual identified, the system runs a comprehensive set of checks:

  • Adverse media search — national and trade press coverage, classified by AI for relevance to the specific individual (not just anyone with the same name)
  • Sanctions screening — HM Treasury, OFAC, and UN consolidated sanctions lists with fuzzy name matching
  • Disqualified directors — the Companies House disqualification register
  • London Gazette — insolvency notices, winding-up petitions, and bankruptcy orders
  • Connected portfolio analysis — every company linked to the individual, including dissolved entities, charges, and credit scores

The entire process takes under 30 seconds. The result is a structured screening report that surfaces exactly what you need to see — with the noise filtered out.

Enhanced Screening: Digital Footprint Verification

For lenders who want to go deeper, Sponsor Screening includes an optional Enhanced Screening layer. Provide the sponsor's email address, phone number, company website, or LinkedIn profile, and the platform runs additional checks:

  • Email verification — deliverability, disposable provider detection, and data breach exposure count via Have I Been Pwned
  • Phone lookup — number type identification (mobile, landline, VoIP), carrier data, and disposable number detection
  • Domain analysis — registration age, SSL certificate verification, MX record checks, and parked domain detection
  • LinkedIn validation — profile existence and fuzzy name matching against the Companies House PSC record

These signals feed into the composite risk score and provide a practical way to verify that the person presenting a deal is who they claim to be.

The Composite Risk Score

Every screening produces a composite risk score from 0 to 100. The score is calculated by weighting each signal by severity:

  • High-weight signals — confirmed adverse media in categories like fraud, insolvency, or criminal activity; disqualified directors in the ownership chain; sanctions list matches
  • Medium-weight signals — regulatory or litigation-related adverse media; undeliverable or disposable email addresses; virtual phone numbers; parked or newly registered company websites
  • Lower-weight signals — email breach exposure; dissolved SPVs in the sponsor's portfolio; websites without SSL certificates

The score maps to three bands: Low Risk (0–30), Elevated Risk (31–60), and High Risk (61–100). It is deliberately designed as an indicator, not a verdict — it highlights where to focus your due diligence, not replace it.

AI-Powered Noise Filtering

One of the most persistent problems with manual adverse media checks is noise. Search for "John Smith" and you will find thousands of results, almost none of which relate to the specific individual you are screening.

Loan Intel's AI classification layer solves this by evaluating every news result against known data about the individual — their Companies House date of birth, company associations, registered addresses, and known roles. Each article is classified as a confirmed match, probable match, or unrelated namesake. Only confirmed and probable matches are surfaced in the screening report.

For common names, this typically reduces hundreds of raw results to the handful that actually matter.

Built for the Way Lenders Actually Work

Sponsor Screening is not a generic KYC product bolted onto a platform. It was built specifically for the UK commercial real estate lending market, and it reflects how lenders actually work:

  • SPV-first workflow — you search the borrower company, and the platform identifies the individuals automatically. No need to manually look up directors and PSCs.
  • PDF export — every screening report can be exported as a PDF for your credit file, audit trail, or compliance records.
  • Screening history — a complete log of every screening you have run, filterable by risk level, date, and screening type. Exportable as CSV.
  • Cross-lender exposure — the platform flags when a sponsor appears in multiple lenders' loan books, surfacing concentration risk that no single lender can see in isolation.

Data Sources and Transparency

We believe lenders should know exactly where their screening data comes from. Every Loan Intel screening report lists the data sources checked, the signals detected, and the confidence level of each finding. There is a dedicated How It Works page that explains the methodology, data sources, and scoring in full detail.

All data sources are publicly available or accessed via licensed APIs. No personal data is stored beyond what is necessary for the screening report.

Getting Started

Sponsor Screening is available now to all Loan Intel users. A free tier is included — no credit card required. Log in to the platform, search a borrower SPV, and the screening runs automatically.

For lenders managing larger portfolios, batch screening and ongoing monitoring capabilities are on the roadmap.

If you have questions about the methodology or want to discuss how Sponsor Screening fits into your existing due diligence process, reach out to us at support@loan-intel.com.