# Korea Deep Learning Cuts Financial Document Processing Time by 88%, Targets APAC Financial Sector

- Link: https://www.thailand-business-news.com/pr-news/korea-deep-learning-cuts-financial-document-processing-time-by-88-targets-apac-financial-sector
- Published: 2026-11-10T07:00:00+07:00
- Author: PR Newswire

◦ VLM-based AI agent demonstrates potential in automating complex financial workflows
   through joint PoC with South Korea’s Industrial Bank of Korea
 ◦ Korean AI company advances PoC discussions with nine Japanese financial institutions
   following projects in Vietnam and Taiwan region

SEOUL, South Korea, Nov. 10, 2026 /PRNewswire/ — Korea Deep Learning (KDL), an enterprise
AI agent company, is expanding its presence in the Asia-Pacific financial sector
following a successful proof of concept (PoC) with South Korea’s Industrial Bank
of Korea (IBK), which demonstrated an 88% reduction in financial document processing
time.

 [](https://mmx.prnasia.com/media/MS2028851/20261106012158EST_image_1.jpg?id=OA3062441&p=medium600)

The project applied KDL’s VLM-based AI agent, DEEP Agent for Finance, to automate
document-intensive procedures for handling voice phishing relief cases. The solution
combines document recognition, information extraction and crime-type inference, 
addressing tasks that traditionally require substantial manual review by financial
institution employees.

During the PoC, the system achieved 100% accuracy in printed-text recognition and
document classification, while handwriting recognition accuracy exceeded 97%, based
on the project’s evaluation criteria. All key performance indicators exceeded their
targets using actual business data. The solution was deployed within IBK’s closed
network, with employee review retained for cases requiring additional verification.

The results provide a reference case for KDL as it pursues opportunities with financial
institutions across Asia. The company has completed a separate PoC with Shinhan 
Vietnam Finance Company (SVFC), a local subsidiary of Shinhan Card, through the 
Shinhan Financial Group’s open innovation program. KDL has also supplied AI solutions
in overseas markets including Vietnam and Taiwan region.

In Japan, KDL is advancing discussions about potential PoCs with nine financial 
institutions. It is also engaging with financial institutions across the region 
in banking, insurance and consumer finance. Some prospective partners have signed
non-disclosure agreements and are evaluating the technology using actual business
data.

KDL plans to convert ongoing technical evaluations into paid PoCs and supply contracts,
while developing local partnerships and sales channels from 2027. The company also
aims to extend its solutions beyond banking into insurance and securities, where
document processing and information extraction remain important parts of daily operations.

"Financial institutions handling voice phishing relief cases often spend considerable
time processing documents before they can focus on supporting customers," said Ji-
hyun Kim, CEO of Korea Deep Learning. "Our project with IBK demonstrates how VLM-
based AI agents can reduce that administrative burden. We aim to help financial 
institutions automate repetitive tasks, improve operational efficiency and allocate
more resources to consumer protection."

**About Korea Deep Learning**

Founded in 2019, Korea Deep Learning is an enterprise AI agent company specializing
in document intelligence and workflow automation. Its DEEP Agent platform combines
DEEP OCR and DEEP Parser technologies to extract and process information from complex
documents. The company serves more than 80 companies and public institutions in 
South Korea.

---

  |  This article was produced by Cision PR Newswire, our trusted news partner. The views expressed and the content presented here are solely those of the author and may not fully reflect the opinions of Thailand Business News. |

---

 
**Read the original article :** [Korea Deep Learning Cuts Financial Document Processing Time by 88%, Targets APAC Financial Sector ](https://www.prnasia.com/story/archive/5091073_AE91073_0?rand=184833)