Shinhan Investment & Securities Files Patents for Two Proprietary AI Technologies

Shinhan Investment & Securities announced on October 20 that its AI Solutions Department has completed patent applications for two proprietary AI-based technologies. This achievement is seen as further proof of the company's technological competitiveness in the financial AI sector.

The newly filed patents cover: ▲ a method and system for searching similar companies using hierarchical industry classification and sales structure embedding; and ▲ a method for searching similar research and development directions using link prediction-based graph neural networks, as well as a research and development similarity search system utilizing this method. In total, two patents have been applied for.

Both technologies were independently developed by the AI Solutions Department, from planning to implementation. Some of the algorithms have already been applied to the research services within Shinhan Investment & Securities' mobile trading system, the 'Shinhan SOL Securities App.'

Notably, these patented technologies can be used to analyze industry and corporate data from multiple perspectives, enabling the identification of similar companies or the formulation of research and development strategies. By introducing sophisticated structural learning methods, rather than relying solely on traditional statistical analysis, it is now possible to more accurately understand inter-company relationships and trends within business sectors.

A representative from Shinhan Investment & Securities stated, "These patents demonstrate that AI can become a core competitive edge within the financial industry. Since our proprietary technologies have been implemented in actual services, we expect to provide our clients with more sophisticated and differentiated investment information and research experiences."

Shinhan Investment & Securities is currently preparing additional AI-related patent applications. The company plans to expand the application of its technologies across all AI-based work, including financial data analysis, investment advisory, and research automation, with the goal of continuously strengthening its AI-driven financial innovation capabilities.

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