Warmblood has begun developing a document automation system for the financial investment industry, utilizing large language models and generative artificial intelligence (AI) technology in collaboration with Upstage and Yonsei University Underwood International College.
Warmblood, Upstage, and Yonsei University Underwood International College noted that they signed a memorandum of understanding (MOU) for developing a document automation system utilizing generative AI on the 14th.
Warmblood plans to collaborate with Professor Lee Gi-heon's research team from Yonsei University Underwood International College, which possesses numerous relevant research achievements and is equipped with the industry's top LLM technology, to develop a comprehensive document automation system used in the financial investment industry.
The three institutions will cooperate in various areas, including ▲ developing an LLM model for document automation in the financial investment sector ▲ research and development collaboration for introducing generative AI technology in the financial investment sector ▲ integrating document automation functions into Warmblood's Deal Match service.
First, the three institutions will embark on developing an automated service for information memorandums (IM) in financial investments. Warmblood will oversee the research and development process by providing domain knowledge and data based on its expertise in the financial investment field. The automation functions will be integrated into the B2B financial platform Deal Match, which will be reviewed for commercialization. Based on this, plans to advance additional document automation functions, such as review reports, will be pursued.
Upstage will provide core solutions based on its own pre-trained LLM technology, 'SOLAR,' and the document intelligence solution 'Document AI' to enhance the processing capabilities of various financial investment documents and automatically extract and summarize key contents for the IM. Long-term plans include promoting advanced document automation that automatically produces IMs and review reports by extracting essential information from diverse source data.
Professor Lee Gi-heon's research team at Yonsei University Underwood International College will investigate practical ways to process the diverse and extensive financial investment document data composing the IM. They plan to design a prompt pipeline to extract and summarize key points from multiple documents and develop essential functionalities for document generation.
Warmblood CEO Cho Won-jeong said, "This collaboration with Upstage and Yonsei University Underwood International College will be an important opportunity to promote the introduction of AI technology into Deal Match and the financial investment industry."