Shinhan offers IDP partnerships

Shinhan Finance is looking for artificial intelligence vendors that can read loan paperwork, flag suspicious documents and support underwriting inside its lending process. (x.com) The outreach describes Intelligent Document Processing, a software layer that turns scans and photos into usable data, then routes that data into decisions such as fraud checks and credit review. It specifically names optical character recognition, fraud detection and underwriting as target uses. (x.com) Shinhan is pitching the offer as a partnership, not a simple software purchase. The post says selected companies can get grants and proof-of-concept access tied to Shinhan Finance loan workflows. (x.com) That fits Shinhan Financial Group’s broader startup model. Shinhan Future’s Lab says it connects startups with Shinhan Bank, Shinhan Finance, Shinhan Securities and Shinhan Life for pilots and other collaboration. (futureslab.com.vn) Shinhan has been running that startup program since 2015, and its Korean site says the group had worked with 521 portfolio startups and logged 351 business collaborations by December 2025. The program describes those collaborations as joint development, proof-of-concept projects and service adoption. (futureslab.kr, futureslab.kr) The document-processing push also lines up with Shinhan’s wider artificial intelligence buildout. Maeil Business Newspaper reported in September 2025 that Shinhan Financial had invested a cumulative 77.5 billion won in artificial intelligence-related companies and was using artificial intelligence in areas including document work, customer service and forgery detection in insurance claims. (mk.co.kr) For lenders, the pitch is straightforward: borrowers still submit pay slips, bank statements, identity documents and application forms as images or PDFs, and staff often retype or review them by hand. Intelligent Document Processing aims to pull fields out automatically, compare them across documents and send exceptions to a human reviewer. (ocrolus.com, datacm.com) Fraud screening is a central part of that sales pitch because forged statements and altered files can slip past basic scanning tools. Vendors in this market now advertise checks on formatting, metadata and cross-document consistency for lending and onboarding teams. (inscribe.ai, arya.ai) Shinhan has not publicly posted full program terms in the materials surfaced here, including how many partners it wants or how large the grants may be. What it has made clear is the use case: bring document automation into lending, test it in a proof of concept, and see whether it can move faster than manual review. (x.com, futureslab.com.vn)