DeepSearch and Motif Technologies to Jointly Develop Finance-Specialized On-Premises LLM

Agentic AI to Be Applied Across Core Financial Operations Including Corporate Analysis, Asset Management, and Risk Control

PoC and Adoption Expansion Strategy Leveraging Financial Institution Networks

Photo by Jae-Yoon Kim, CEO of DeepSearch Inc. (right) and Jeong-Hwan Lim, CEO of Motif Technologies (left)

DeepSearch Inc. (CEO Jaeyoon Kim) announced on April 14, 2026, that it has signed a memorandum of understanding (MOU) with Motif Technologies (CEO Junghwan Lim) for the development of a finance-specialized large language model (LLM) and commercialization of an Agentic AI workspace.

As generative AI technology continues to proliferate, issues such as hallucination and data security within cloud environments have emerged as major challenges. Against this backdrop, the global financial sector is increasingly interested in domain-specific LLMs built on internal networks.

In response to these trends, the two companies have agreed to combine Motif Technologies' foundation model architecture, which is free from external dependencies, with DeepSearch's financial data and structured knowledge system (taxonomy). Through this partnership, they plan to jointly develop a finance-specialized LLM that can be deployed in an on-premises environment separated from the external internet.

This collaboration extends beyond simple Q&A capabilities to the construction of an Agentic AI workspace that supports actual work execution. The initiative will enable AI to assist with advanced financial operations, including: automatic generation of corporate analysis and valuation reports based on disclosure and financial statement data; comprehensive analysis of macroeconomic indicators and market news to optimize asset management portfolios and support investment decision-making; real-time risk monitoring of abnormal portfolio activities; and M&A-related analysis and assessment of target companies.

During the commercialization phase, DeepSearch plans to leverage its network of over 50 financial institutions to drive technology proof-of-concept (PoC) and initial deployment. Motif Technologies will be responsible for model development and for building a serving infrastructure and framework suited to on-premises environments, aiming to deliver a solution capable of live operation.

Jaeyoon Kim, CEO of DeepSearch, commented, "There is a strong demand for AI that supports practical decision-making while maintaining a secure environment in core financial institution departments such as investment banking, asset management, and research centers. We aim to provide an AI infrastructure that delivers both implementation efficiency and stability, leveraging our financial data and client network."

Junghwan Lim, CEO of Motif Technologies, added, "Globally, major financial institutions are also expanding the construction of internal network-based models. By combining the technology and data of both companies, we will gradually expand the environment for financial AI applications."

This content was produced with the assistance of AI translation services.