Selvas AI , an artificial intelligence company, announced on the 12th that it will participate in 'AI EXPO KOREA 2025' held at COEX in Samseong-dong, Seoul from May 14th to 16th and introduce a strategy for implementing a customized AI agent based on generative AI.
At this event, now in its 8th year, Selvas AI will present products and solutions that combine high-performance human-computer interaction (HCI) technology, domain-specific insights, and external foundational models under the theme of ‘Sensing the world, Powering Interaction.’ The exhibition booth is divided into two sections: ‘Utilize’ and ‘Applicate.’
The 'Technology Utilization' section introduces interaction methods between large-scale AI models based on Selvas AI's main HCI technologies, such as voice recognition, voice synthesis, image and character recognition, and handwriting recognition. In addition, a space for experiencing technology linkage in an actual system environment is provided along with strategies for increasing connectivity between foundation models and systems.
The 'Technology Application' section will showcase commercial services utilizing Large Language Model (LLM) and Search-Based Generation (RAG) technologies. Major exhibited products include ▲ 'SELVAS Novel TTS', a context-aware speech synthesis solution, ▲ 'SELVAS Note 4.0', a voice recording service including conversation summary and information retrieval functions, and ▲ 'SELVAS MediVoice 4.0', a medical voice recognition solution that supports consultation recording and hospital system input.
Following its on-device-based HCI technology business last year, Selvas AI is now fully committed to the integration and commercialization of ultra-large models and systems through its ‘AI Orchestration’ strategy this year.
A Selvas AI official said, “Generative AI-based agents have the potential to solve various problems in industrial settings, but there are not many cases of actual adoption yet,” and added, “Based on our HCI technology and commercialization experience, we will support the implementation of high-quality AI agents that can be applied in the field.”
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