Methodology

Evidence-led scoring before manual action

AssetSentry is designed around explainable public-record signals, source review, confidence checks and false-positive controls. The aim is to reduce noise while keeping evidence visible.

Approach

How signals are handled

Public-record basis

Signals are derived from public-record datasets and source metadata rather than private surveillance or hidden data.

Transparent scoring reasons

Candidate scores are intended to show why a record deserves review, including filings, charges, status and property links.

False-positive controls

Warnings and review states help separate strong evidence from weak matches, noisy names, generic security and address ambiguity.

Source limitations

Public records can be incomplete, delayed, duplicated or ambiguous. AssetSentry is designed to keep that uncertainty visible.

Manual evidence review

Records are queued for inspection with supporting context before any report, decision or further research action is taken.

Report discipline

Promising cases can be saved into structured deal packs only after evidence has been reviewed and annotated.

Important limitations

AssetSentry should not be used to infer confirmed insolvency, distress, ownership or recoverability from a single record. The product is being built to help researchers prioritise manual inspection by bringing relevant public-record evidence into one place.

The platform is not affiliated with Companies House, HM Land Registry or any government body. Source records should be checked directly where accuracy matters.