Document Collection

About Document Collection

Bynn Document Collection is an AI-powered document collection and processing solution that helps businesses collect documents, extract key data, verify authenticity, and route each case through secure, automated workflows. It is built to reduce manual handling, improve accuracy, and give teams a more efficient way to manage document-heavy processes.

With Bynn, businesses can collect documents from multiple sources, including images, scanned files, PDFs, camera uploads, and system uploads, then process them through configurable workflows that support data extraction, fraud detection, verification, and integration with downstream systems. This allows teams to move from document intake to structured output with far less manual work and significantly faster turnaround times. Bynn Document Collection can reduce processing time by up to 90%, while real-time verification results are typically delivered in under 30 seconds.

The platform is designed for use cases such as merchant onboarding, identity verification, KYC and AML processes, financial document review, HR onboarding, legal workflows, real estate documentation, and other operational processes where documents must be collected, checked, and handled reliably at scale. Bynn supports 100+ document types out of the box.

A key strength of Bynn Document Collection is that it combines automation with trust. In addition to extracting data, the platform can verify documents for authenticity, flag signs of tampering or fraud, and support secure, compliant handling of sensitive information. The platform uses end-to-end encryption, is ISO 27001 certified and SOC 2 compliant, and is built to support privacy and regulatory requirements such as GDPR and HIPAA.

Common use cases

Insurance fraud

Bynn Document Collection helps insurers collect claim documents such as invoices, medical records, receipts, and supporting evidence as part of a structured claims workflow. By combining document collection with automated fraud detection, verification, and workflow-based routing, teams can identify suspicious submissions in seconds, fast-track legitimate claims, and escalate higher-risk cases for deeper review.

Learn more about insurance fraud

Loan underwriting

Bynn Document Collection helps lenders collect and review borrower documents such as income records, identity documents, and financial statements as part of a structured underwriting workflow. By combining document collection with automated checks, fraud detection, and workflow-based decisioning, teams can process applications faster, reduce manual review, and route higher-risk cases for additional assessment.

Learn more about loan underwriting

Tenant screening

Bynn Document Collection helps property managers and real estate teams collect applicant documents such as pay stubs, bank statements, tax records, and employment evidence as part of a structured tenant screening workflow. By combining document collection with automated verification, fraud checks, and workflow-based decisioning, teams can review applicants faster, reduce fraud risk, and make more informed rental decisions, including for applicants with limited traditional credit history.

Learn more about tenant screening

Merchant onboarding

Bynn Document Collection helps payment providers, fintechs, and marketplaces collect business documents as part of a structured merchant onboarding workflow. By combining document collection with KYB checks, fraud detection, and workflow-based automation, teams can onboard legitimate merchants faster, reduce manual compliance reviews, and route higher-risk cases for additional assessment without slowing down the overall onboarding process.
Learn more about merchant onboarding

How it works

Document Collection follows a simple high-level flow:

Create a collection with the documents you want to request
Add that collection to a workflow
Configure any additional logic, checks, actions, or outcomes
Launch the workflow
The user uploads the requested documents
Review the result in Submissions