Deepfake-ready document checks for financial statements, tax forms, and bank statements. We surface risk signals that explain what changed, where it changed, and why it matters.
Stop relying on visual cues alone. Our integrity engine blends metadata forensics, math verification, and cross-document consistency checks to reveal hidden edits and synthetic document patterns.
Detect editing tools, incremental saves, hidden layers, and suspicious object graphs.
Recompute totals and running balances to catch subtle manipulation.
Compare names, statement periods, and revenue signals across the full application.
Spot recycled statements and template farms across applicants.
Running balance mismatch: $212,490.00 reported vs $212,210.00 computed.
Flagged region: Statement of Operations • Page 3
Every signal includes a tamper risk score, clear decision guidance, and evidence bundles that let reviewers resolve edge cases quickly.
Weighted risk scoring turns signals into a defensible decision recommendation.
Plain-language summaries link each risk to the exact page and region that triggered it.
Metadata snapshots, anomaly regions, and cross-doc diffs travel with every case.
Designed for underwriting teams that need speed without sacrificing review control. The pipeline is cloud-agnostic and integrates with your existing extractors.
Immutable storage, PDF object hashing, and page-level fingerprints prevent reuse.
Run deterministic checks across metadata, structure, and transaction logic.
Queue only the review cases with evidence and suggested next steps.
Detect mixed scan pipelines, uniform micro-noise artifacts, template drift across applicants, and hidden layers designed to poison downstream models.
Deploy integrity signals alongside your existing underwriting workflows and reduce manual fraud triage.