UK Property Intelligence Graph

Camden Prototype
Counter-Fraud Tool

Property Fraud Intelligence

UK-PIG surfaces hidden corporate ownership networks in seconds. Built for counter-fraud investigators, local authority enforcement teams, and financial crime units.

Live Case Study

Case Study — Verified from Public Data
The Mattey Network, Camden
Discovered using UK-PIG from open government data · HM Land Registry · Companies House · planning.data.gov.uk
Active Portfolio
64
Camden properties
legal entities
shared directors
15+
planning applications
How UK-PIG found it — investigation timeline
1
Address search
64 properties matched to "Fivecourts"
GET /graph/search?q=fivecourts → 64 results
2
Identify owner
Fivecourts Limited — Companies House No. 04887353
GET /graph/companies/{uuid} → corporate title confirmed
3
Trace directors
3 active directors identified — including MATTEY, Gregory
POST /graph/query/director-networks → officers traversal
4
Find linked companies
5 cross-directorships discovered — 6 entities total
graph.directs join → shared directors across portfolio
5
Surface planning history
15+ planning applications retrieved across linked properties
GET /graph/planning/{uuid} → all applications, all entities
Fraud signals flagged by UK-PIG
Multiple SPVs with shared directors controlling a single portfolio
All 6 legal entities share at least one director — consistent with SPV structure used to fragment beneficial ownership
15+ planning applications across linked properties
Concentrated planning activity across the network — multiple applications for change of use and subdivision on adjacent properties
Portfolio concealed across 6 separate legal entities
No single entity holds more than 20 properties — consistent with deliberate fragmentation to avoid disclosure thresholds and beneficial ownership registers
Manual investigation
3–4 hrs
Cross-referencing Land Registry, Companies House, and planning portals separately — no guarantee of finding all linked entities
UK-PIG
8 sec
Complete ownership chain, director network, cross-directorships, and planning history — from a single address search