--- title: Trustable — Trust infrastructure for the AI era url: https://trustable.ai/ description: Trustable detects forged and AI-generated bank statements, pay stubs, IDs, claim photos and deepfakes for mortgage, HELOC and insurance teams. --- # Trust infrastructure for the AI era Detect forged documents, fake IDs and deepfakes before you fund a loan or pay a claim. Built for mortgage, HELOC and insurance teams. [Book a demo](https://cal.com/scamai/20min?utm_source=trustable.ai&utm_medium=website&utm_campaign=book_demo&utm_content=home) cURL Python TypeScript MCP Prompt [Get an API key](https://cal.com/scamai/20min?utm_source=trustable.ai&utm_medium=website&utm_campaign=book_demo&utm_content=api) curl https://demo.trustable.ai/v1/documents \ -H "Authorization: Bearer $TRUSTABLE_API_KEY" \ -F file=@statement.pdf Copy import os, requests key = os.environ["TRUSTABLE_API_KEY"] r = requests.post("https://demo.trustable.ai/v1/documents", headers={"Authorization": f"Bearer {key}"}, files={"file": open("statement.pdf", "rb")}) print(r.json()["verdict"]) Copy import fs from "node:fs"; const url = "https://demo.trustable.ai/v1/documents"; const body = new FormData(); body.append("file", await fs.openAsBlob("statement.pdf")); const res = await fetch(url, { method: "POST", body, headers: { Authorization: `Bearer ${process.env.TRUSTABLE_API_KEY}` } }); console.log((await res.json()).verdict); Copy Let AI agents run Trustable checks through MCP. In development Add Trustable document checks to this app. For each uploaded bank statement, pay stub, W-2 or ID, POST the file to https://demo.trustable.ai/v1/documents as the multipart field "file", with the header "Authorization: Bearer $TRUSTABLE_API_KEY". Show the returned verdict and verdict_reason to a reviewer. Never reject a file on the verdict alone: a person decides. Copy ## Built for fraud, underwriting and claims teams - [Mortgage](https://trustable.ai/mortgage) - [HELOC](https://trustable.ai/mortgage#heloc-title) - [Insurance claims](https://trustable.ai/insurance) - Onboarding & KYC - Banking & lending - Payments & disputes - Marketplaces - Legal & compliance - Trust & safety - AI agents Mission ## Make trust verifiable in every interaction. Human or AI. The trust layer we’re building 01 ### Detect Spot fakes. 02 ### Verify Confirm source and identity. 03 ### Authorize Set agent limits. 04 ### Record Keep the evidence. 05 ### Compliance Meet AI rules. 06 ### Copyright © Prove who owns it. Detection ## It starts with documents. Images, video and IDs too. - [01] / document Forged statements, pay stubs and IDs. - [02] / image AI-generated or edited photos. - [03] / video Face swaps and other deepfakes. - [04] / provenance Where a file came from. - [05] / evidence What was flagged, and where. - [06] / agents A trust check before agents act. In development. [ How it checks ] - File forensics Edits to text, pixels and layers. - Generator traces Marks AI generators leave. - Provenance & metadata Camera data and file history. - Explainable output Every flag, shown on the file. Document Bank statement Amount altered Image ID photo Edited after capture Video Video call Face swapped live Evidence ## See what was flagged, and where. Each finding comes with its reason and strength. [Read our approach](https://trustable.ai/approach) Signals · edited ID photo - 01Local edit: strong - 02Lighting mismatch: moderate - 03Metadata gap: moderate - 04Generator trace: weak - 05Content credentials: none Signals · face-swapped video call - 01Face boundary: strong - 02Lip-sync drift: moderate - 03Blink pattern: weak - 04Compression trace: weak - 05Audio mismatch: none Signals · altered bank statement - 01Font mismatch: strong - 02Edited text layer: moderate - 03Totals don’t add up: moderate - 04Known fake template: weak - 05Metadata gap: weak Illustrative example Not a real result. ## Detection is just the start. What we’re building around every check. ### Uncertainty, surfaced Unsure results go to a person. In development ### Cross-document checks Income compared across pay stubs, W-2s and deposits. In development ### Agent trust check Agents check a file before they act. In development ### Workflow routing Pass, review or hold. In development ### Review console All the evidence in one place. In development Where trust breaks ## Fake documents, images, videos and IDs cost real money. [Book a demo](https://cal.com/scamai/20min?utm_source=trustable.ai&utm_medium=website&utm_campaign=book_demo&utm_content=home) - [Mortgage](https://trustable.ai/mortgage) Altered statements and pay stubs inflate income. Document - [HELOC](https://trustable.ai/mortgage) Edited income documents slip past lighter checks. Document - [Insurance claims](https://trustable.ai/insurance) Fake damage photos and invoices inflate payouts. Image · Document - Onboarding & KYC Synthetic selfies and edited IDs. ID · Video - Payments & disputes Edited receipts and screenshots. Image · Document - AI agents Agents acting on fake files. Any file ## Evidence, handled with care. ### Your files, your control We agree how files are handled before you share any. ### People decide Every flag comes with its evidence. Security ## Security built for regulated teams. ### Our cloud, yours or on-prem Host in the US, EU or APAC, deploy in your own VPC or on-prem, or keep files in your cloud while Trustable runs the checks. ### SOC 2 Type II and GDPR Independently audited controls, with personal data handled under GDPR. FAQ ## Questions, answered. ### Can Trustable detect fake bank statements? Yes. Trustable flags edited text, font and layout mismatches, metadata gaps and totals that don’t add up, and marks where each one is on the page. ### How are fake pay stubs and W-2s detected? Each pay stub and W-2 is checked for edited figures, font mismatches and rebuilt templates. Cross-checking income across a whole loan file is in development. ### Why do HELOC lenders need document fraud detection? HELOCs often close with lighter checks than a first mortgage, so an edited pay stub or statement is easier to miss. ### Can Trustable detect AI-generated or edited claim photos? Yes. It looks for edits, AI-generation traces and missing camera data in damage photos, and checks repair invoices and receipts for edits. ### Does missing metadata mean a file is fake? No. Messaging apps, screenshots and re-saves often strip it, so it’s one signal among several, never proof on its own. ### Is Trustable SOC 2 compliant? Yes. Trustable is SOC 2 Type II audited and handles personal data under GDPR. It runs in our cloud with US, EU or APAC hosting, in your own VPC or on-prem. ### Is Trustable always right? No. No AI is 100% accurate. Results can be wrong in either direction, flagging a genuine file or missing a fake, so a person should review each flag before acting on it. ### Who makes Trustable? Trustable is a product of Reality Inc., based in San Francisco and Toronto. [About the company](https://trustable.ai/about). ## Trust you can verify. [Book a demo](https://cal.com/scamai/20min?utm_source=trustable.ai&utm_medium=website&utm_campaign=book_demo&utm_content=home) [Get an API key](https://cal.com/scamai/20min?utm_source=trustable.ai&utm_medium=website&utm_campaign=book_demo&utm_content=api)