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Face and document recognition technologies help build fast and efficient borrower verification processes. Neural networks analyze incoming documents and photos, automatically validate their correctness, and suggest decisions based on the analyzed data.
Verification of borrower data using photos and documents without operator involvement at the initial stage
Tevian KYC web service is used to automate borrower registration and verification stages. The system performs initial checks of passport data and photographs, automatically extracts and fills in data, reducing manual input and manual verification efforts. All checks follow unified rules, making results less dependent on individual operators. Each application includes a recorded verification history, allowing business and compliance teams to see which steps were completed and on what data the decision was based.
What does the system provide:
Tevian KYC automatically processes uploaded documents and borrower face images. In typical scenarios, processing a single set takes less than one second: the system extracts data, checks whether image quality is sufficient for accurate verification, and returns verification results for use in scoring or manual review workflows, reducing routine employee operations.
Recognition of structured and unstructured documents for document workflow automation
Tevian IDP web service is used to automate processing of documents with varying levels of structure. The system checks completeness of key fields, generates reports on required data, seals, and signatures, and records verification results. IDP evaluates document package completeness, identifies missing forms, and transfers extracted data to IT systems, reducing manual input and manual control.
What does the system provide: