Protect closings from forged deeds, fake POFs, and impersonation fraud.
Detection layers are weighted for the document mix your industry actually reviews — IDs, statements, paystubs, invoices, leases, and policies.
Inspects EXIF, software signatures, edit history, and structural fingerprints.
Originals are processed in encrypted memory and removed after analysis. Reports stay redacted by default.
Wire fraud and seller-impersonation losses in real estate run into the billions annually. Forged IDs, fabricated proof of funds, and tampered deeds make the difference between a clean closing and a catastrophic loss.
TrueDoc verifies the authenticity of every document touching a transaction — surfacing forgery and AI-generated content before closing.
Seller impersonation using forged IDs
Fabricated proof-of-funds letters
Tampered deeds, titles, and lien releases
Edited purchase contracts and addenda
Spoofed closing instructions
Drop docs into the dashboard or push via API from your transaction platform.
Engine inspects metadata, signatures, and visual integrity.
Suspicious docs routed to title officer or fraud team with full evidence.
Every verification stored with immutable evidence for the file.
Title and escrow companies typically see the same three failure modes: submissions that look professional but were assembled from a template, real documents recycled from a prior application with edited fields, and fully AI-generated files that no longer trip rule-based checks.
The hardest of those is the second — recycled real documents — because the underlying file is genuine. TrueDoc looks at submission lineage and pixel-level evidence, not just whether the document "looks real."
TrueDoc is built to sit alongside your current process, not replace it. A typical rollout: documents land in your existing intake (CRM, LOS, ATS, or portal), TrueDoc returns a verdict and per-field evidence via API or dashboard, and your reviewers spend their time on the cases the model isn't confident on.
That keeps the title and escrow companies accountable for the final decision while removing the obvious-good and obvious-bad cases from the queue.
Two loss patterns dominate: seller impersonation using forged ids, and fabricated proof-of-funds letters. The first is loud — a single application that goes wrong. The second is quieter and more expensive: the same fabricated document type re-used across many submissions before anyone connects the cases.
Both show up in the per-finding evidence TrueDoc returns. Teams that review the recycled-document patterns weekly tend to catch organised submitters earlier in the lifecycle.
No credit card. Redacted report in under a minute.