Finda, Upstage team up to build finance-focused agentic AI platform

Fintech platform Finda has signed a memorandum of understanding with artificial intelligence (AI) startup Upstage to jointly develop an agentic AI platform tailored to financial services, the company said Wednesday. The partnership will combine Finda's financial expertise and proprietary data with Upstage's large language model (LLM) technology to develop AI agents designed for use across financial institutions. Under the agreement, Finda will provide financial domain data, support model fine-tuning through direct preference optimization (DPO) labeling, deploy financial specialists for user acceptance testing and advise on regulatory and compliance matters. Upstage will lead the development of finance-specific AI models based on its proprietary LLM Solar, while also building an agent training platform. The company is set to oversee the design, development and testing of the AI agents, as well as platform implementation and project management. The two parties also plan to explore new business opportunities for AI agents in financial services and collaborate on marketing and promotional activities. They said the partnership could later expand into other AI-related projects. “We will develop AI agents optimized for financial environments based on our Solar model and deliver solutions that can be readily applied in the workplace,” Upstage CEO Kim Sung-hoon said. Finda co-founder and CEO Park Hong-min noted the partnership goes beyond a simple technology tie-up. “We are pleased to be working together on a project that has the potential to reshape the financial industry,” he said. “Through an advanced agentic AI platform, we hope to accelerate innovation in the field of financial AI.” The agreement builds on an existing relationship between the two companies. Since March, they have joined forces to commercialize AI solutions for the financial sector. Finda is also participating in Upstage's consortium for the Korean government's sovereign AI foundation model initiative.