Every edit leaves a trace, we find it!

Explainable Detection

Drop-in REST API with sample curl & Postman collection, plus a clean ops dashboard.

Instant API & Dashboard

Pixel heatmaps + PDF structure diffs + metadata checks combine into a single, audit-ready verdict.

Privacy & Control

All documents are securely stored in encrypted form. Data is never used for model training without consent, and can be deleted anytime.

Purpose-Built Checks

Tailored rules for invoices, claims, boarding passes, visa docs, statements, and contracts.

How it works?

Upload or API

Drop a PDF/image in the dashboard or send it via REST.

1

Forensic Analysis

We run pixel, metadata, and structural checks and correlate signals.

2

Explainable Report

Get an authenticity score, heatmaps, and a shareable, audit-ready PDF.

3

Why choose ninenine.ai?

Deeper PDF Forensics

XRef/object anomalies, font glyph issues, layer/stream
diffs — beyond basic signature checks.

Vertical Outcomes

Reduce false payouts and manual review time in
claims, visas, airlines, and AP.

Explainable by Design

Ops teams get visual evidence, not just a score —
easy to action and audit.

Fast to Pilot

Clear 2-week pilot pack with success criteria; zero heavy
IT lift.

Pricing

We tailor our plans based on your document volume, security needs, and integration
preferences. Reach out to discuss a pilot or enterprise deployment.

Write to us

Frequently asked questions

In case of any other queries, write to us at team@ninenine.ai

PDF, PNG, JPEG to start. TIFF & HEIC on request.

Yes, all documents are securely stored in encrypted form and never used for training or shared externally. Customers can delete their data anytime or choose on-prem deployment for full control.

Yes — REST API with webhooks. Guides for Guidewire, UiPath, Kofax, SAP and NetSuite.

Early pilots show high precision on common tamper patterns. We provide explainable evidence for human review.

Run a 2-week pilot with your data

We’ll analyze historical documents and delivery an audit-ready fraud report