Cryptographic proof, with AI on watch.
Document verification you can trust because the integrity check is cryptographic and deterministic — not an AI guess. The AI layer sits on top, surfacing anomalies and fraud signals for your team to review. Provable underneath. Augmented above.
Provable · Probabilistic
Generative fakes cost cents. Trusting the wrong one costs everything.
AI-fabricated documents are getting harder to spot by eye, faster to produce, and cheaper to attempt. The teams that have to act on what a document says need two things at once: a deterministic source-of-truth check, and an automated layer that flags what humans will miss.
AI-generated fakes are cheap and convincing
Generative models produce realistic offer letters, transcripts, deeds, and permits in seconds. Visual review alone can no longer reliably tell genuine from generated.
Volume outpaces manual review
Screening firms, compliance teams, and registrars face more documents to review than humans can read carefully. Pattern-level signals are the only way to keep up.
Detection alone isn't enough
An AI fraud score with no source-of-truth check is a guess. You need a deterministic verification layer underneath the AI signals — provable, not probable.
Detect, verify, and adapt.
AI on top. Cryptography underneath. Humans where it counts.
AI fraud signals on every verification
Automated tools flag suspected fraud, abuse, and anomalous verification activity in the moment — unusual scan velocity, mismatched scanner geography, repeat-key reuse, and red-flag patterns trained from observed fraud. Signals are surfaced to humans, never used to make automated decisions with significant effects on people.
- Anomaly detection on verification patterns
- Red-flag scoring on suspicious activity
- Velocity & geo signals on scan events
- Human-in-the-loop on consequential calls
Deterministic proof under the AI layer
The integrity check itself is not an AI guess. Every issued document is hashed and locked to its state, with a QR-bound verification page that confirms the document matches the issuer's record. AI complements this layer — it never replaces it.
- Cryptographic hash on every issued document
- QR-bound hosted Certificate of Authenticity
- Live status: Active, Expired, Revoked
- Provable, not probable
Fraud patterns shift — your platform should too
The forgery landscape evolves daily. The signal layer continuously updates as new fraud patterns emerge, so the platform you ship today still catches the patterns shipped tomorrow — without lifting a workflow.
- Continuous signal updates as patterns shift
- Per-workspace fraud telemetry
- Real-time verification analytics
- Tamper-evident audit trail of every event
Across the document sets AI fakes target most.
Every team has its own document set. Explore how the AI signal layer + deterministic verification applies across the workflows you already run.
Fabricated offers and inflated CVs — caught by signal + verifiable issuance.
Explore →Diploma mills and altered transcripts — verified against the issuing institution.
Explore →Counterfeit operating documents detected at the point of review.
Explore →Forged or double-sold deeds — confirmed against the registry's record.
Explore →Engagement letters, affidavits, and POAs verifiable against the firm's record.
Explore →E-signed records with tamper-evident verification anyone can confirm.
Explore →Issuance, verification, and signal — in one loop.
Issue the document
Generate the document through your normal workflow. VerifyDoc.ai binds a tamper-evident record and embeds a QR code.
Anyone can verify
A scan opens a hosted Certificate of Authenticity confirming the document matches the issuer's record — free, in seconds.
AI watches the patterns
The signal layer flags anomalies across verification events — unusual velocity, mismatched geography, suspect repeat-keys, red-flag patterns.
Humans make the call
Flags are surfaced to your team for review. Significant decisions stay with people; the AI provides cues, not verdicts.
What sits beneath the AI layer — and on top of it.
Anomaly detection and red-flag scoring on verification events, updated as patterns evolve.
Hash-bound records and QR-verified hosted CoAs — provable, not probable.
Per-workspace telemetry on scan volume, geography, devices, and outlier events.
Withdraw a compromised document the moment it's discovered; status updates everywhere at once.
Stream verification events to your fraud or risk platform; issue from your DMS, HRIS, or CRM.
Full tamper-evident audit trail, encryption, role-based access, GDPR / UK DPA aligned.
Manual review vs AI-augmented verification
What the AI layer changes — and what it deliberately doesn’t
One platform, every reviewer in the chain.
Spot the patterns your reviewers can't
Velocity, geography, and repeat-key signals catch what a human reading one document at a time will miss — flagged for your fraud team to action.
Evidence of every check, not just every signature
Tamper-evident audit trail records every verification event with the AI signals that surfaced — defensible in audit and dispute.
Confirm offers and credentials at scale
Verify thousands of documents during a hiring season; AI signals surface anomalies for your screening team to investigate.
Income and property documents before you lend
Verify employer-issued payroll and property documents before credit decisions; flag patterns suggesting fabricated income.
Illustrative workflows. Replace with named customer stories as they go live.
Augment people. Don’t replace them.
- AI flags, humans decide. No solely-automated decisions with legal or similarly significant effects on people.
- Deterministic verification underneath. Cryptographic hashes and QR-bound CoAs — the integrity check is provable, not probable.
- No training on customer document content. Signal models tune on aggregated, anonymised telemetry only.
- Tamper-evident audit trail of every verification, AI signal, and human action.
- GDPR & UK DPA aligned, with data-processing addendum for enterprise customers.
- Records preserved even if you pause — never silently invalidated.
Provable, not probable
Verification on VerifyDoc.ai isn’t an AI guess. Every issued document is hashed and locked to its state, and matching that state is deterministic. AI sits on top — it spots patterns humans miss, then hands the decision back to the team.
Answers for evaluating teams.
Does the AI decide on its own whether a document is genuine?
Do you train AI models on our document content?
What kinds of AI signals does the platform surface?
How does this compare to AI-only document-verification vendors?
Can the AI signals be wrong?
Is the AI layer available on every plan?
AI on watch. Cryptography on the page.
Start free in under a minute, or book a walkthrough of the AI signal layer tailored to your fraud or compliance workflow.