Enterprise software company TmaxSoft (CEO Hyongyong Lee) held a customer seminar on May 28 at the Four Seasons Hotel Seoul, where it introduced its Enterprise AI strategy for responding to the Agentic AI (Artificial Intelligence) era and its next-generation business application development platform, Continuum AI.
The seminar was organized to share “Enterprise AI Platform strategies and implementation directions” with enterprise customers seeking to adopt AI into their business systems. TmaxSoft also presented Continuum AI, its upcoming Agentic AI business application development platform, along with a detailed roadmap for becoming a “Global Enterprise AI Leader” through the platform.
In his welcome remarks, TmaxSoft CEO Hyongyong Lee said, “We recently declared our transformation into an AI and cloud-native company,” adding, “Based on our new product, Continuum AI, and an expanded product portfolio that integrates AI capabilities into our existing solutions, we will actively address AI demand across various industries, including public institutions, financial organizations, and private enterprises both in Korea and overseas.”
At the event, Kieun Park, Executive Vice President and Head of Research & Development, delivered the keynote presentation titled, “TmaxSoft’s Continuum AI Strategy: AI Agents Through the Lens of Enterprise AI.”
Kieun Park explained that as the adoption of Agentic AI, which maximizes enterprise productivity, operational efficiency, and problem-solving capabilities, continues to expand, the importance of an Enterprise AI Platform is becoming even greater. He further emphasized that an Enterprise AI Platform serves as the core foundation not only for application development but also for handling diverse data and complex business logic, making it essential for building a secure and efficient Agentic AI environment.
“Continuum AI is a full-stack product designed to provide efficient development and operational environments and serves as a next-generation platform with the mission of continuously solving specific business challenges and inefficiencies rather than addressing them as one-time issues,” said Kieun Park. “Following the continuum of operations, development, modernization, integration, and runtime, the AI product portfolio consists of Business Framework, Enterprise Manager, Code Intelligence, and Application Transform. Through these capabilities, we will support Enterprise AI innovation with guaranteed quality, performance, and reliability.”
The seminar also featured a session titled, “AI Utilization in Enterprise Integration Systems: AI Agents Powered by User Intent and Business Context,” which introduced TmaxSoft’s Interface Platform strategy.
TmaxSoft is researching technologies that transform integration frameworks into structures that AI agents can directly invoke and execute, in line with the trend of AI agents expanding their role as executors of enterprise systems. By leveraging MCP (Model Context Protocol), an open AI protocol built on the Harness Engineering paradigm—a framework expected to become a key differentiator in AI agent competitiveness—TmaxSoft plans to minimize hallucinations and token waste while establishing an automation foundation that delivers execution reliability and cost efficiency within enterprise integration systems.
In addition, Chanpyo Hong, Head of Application Server Development, introduced the AI strategy for next-generation application server products in a session titled, “JEUS 11 and Jakarta Agentic AI 1.0.” To proactively respond to growing demand for enterprise platforms in the AI and cloud era, TmaxSoft became the first company in Korea to obtain certification for Jakarta EE 11, the latest global standard specification, through its product JEUS 11 in March of this year.
The event also featured AI Transformation (AX) success stories from a domestic logistics company and a financial services company. In addition, Microsoft presented a session introducing its AI Center of Excellence (AI CoE) strategy for becoming a leading Enterprise AI company.
TmaxSoft is driving its global AI business platform initiative while leading next-generation application server standards in pursuit of “Enterprise AI Innovation,” which represents the next stage of expanding the AI ecosystem and market demand. To achieve this goal, the company is strengthening its R&D and business operations through AI-ready and globally aligned systems, expanding its workforce dedicated to AI product development, and accelerating the creation of a partnership ecosystem with domestic startups specializing in AI hardware, services, and technologies to build a comprehensive AI full-stack ecosystem.