Forensic pipeline

Prove the truth
behind every document.

The forensic layer for tenant referencing—deep scans on payslips, bank statements, and IDs so you catch tampering before approvals.

The forensic standard for tier-1 referencing agencies and fraud operations.

REFERENCING AGENCIES
LETTING PLATFORMS
BUILD-TO-RENT OPS
FRAUD INVESTIGATORS
COMPLIANCE TEAMS

COST OF INACTION

The math you can’t afford to ignore.

Calculate your annual exposure.

Use the slider to match how many tenant applications your team references in an average month (small letting desks to large platforms).

Monthly referencing volume: 250 applications51,000 / month
Applications flagged as fraudulent / year (2.9 per 1,000)9 / yr
Avg. cost per problem tenancy (eviction band)£31,886
Estimated Annual Fraud Exposure
£277,408

Forensic checks for every tenancy, in one workflow

Run a Free Scan
Run a Free Scan

File DNA & metadata

EXIF, creation history, and structure signals—before an analyst opens the PDF.

Pixel-level forgery detection

ELA-style heatmaps and tamper regions with coordinates—built for referencing ops, not generic “AI scores”.

Verdicts teams can defend

RED / AMBER / GREEN policy output with reasons and audit trail—so approvals hold up under scrutiny.

AI narrative signals

Flag synthetic explanations and inconsistent stories alongside document evidence.

Built for referencing teams

Stop fraud before approvals are made.

Run forensic checks on payslips, bank statements, and IDs in seconds with audit-ready evidence.

At a glance

Hard numbers you can plan around—no vanity metrics, no borrowed case studies.

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Per document

Target forensic pass time for a typical payslip, bank statement, or ID—metadata, tamper signals, and anomaly flags in one run.

0

Stored copies

Zero-retention processing: files analyzed in memory, not kept on disk or used to train models.

1

Workflow

Same queue for layered PDFs, exports, and edits—evidence surfaced as structured output your team can sign off on.