Optimizing AI Agent Operating Costs, Speed, and Memory Efficiency

AI model optimization company Nota is making a full-scale entry into the AI agent operating infrastructure market. As its first commercial project, the company is embarking on next-generation AI consultation system development with MetaM, a specialist in AI contact centers (AICC).

Nota announced on the 13th that it has signed a 'joint development agreement for building a next-generation AI consultation system' with MetaM.

This project involves constructing an AI operating infrastructure to stably operate multiple AI agents in actual enterprise environments. Nota described this as its first commercial case applying the company's AI optimization technology.

The two companies plan to build an 'AI-native multi-agent consultation system' by combining Nota's AI model lightweight and optimization technology with MetaM's AI contact center operating capabilities.

As companies increasingly adopt AI agents for various tasks including customer service, consultation summarization, and quality management, operational costs and infrastructure efficiency have emerged as key issues.

In this project, Nota will develop common AI engines, orchestration, and retrieval-augmented generation (RAG)-based technology. Additionally, the company will focus on reducing computational volume and memory consumption by applying its proprietary AI model lightweight and optimization technology.

Through this, the plan is to secure stable response speed and operational efficiency even in environments where multiple AI agents operate simultaneously.

The system to be built features a structure where role-specific AI agents share consultation tasks including customer intent analysis, information retrieval, customer service, consultation summarization, knowledge management, and quality management.

Based on over 20 years of contact center operating experience, MetaM will be responsible for providing domain knowledge, designing AI agent functions, and building and operating the system.

Starting with this project, Nota announced plans to expand its application scope to industries where AI agent adoption is expanding, including manufacturing, finance, and public sectors.

Myung Soo Chae, CEO of Nota, stated, "In the AI era, it is important not only how well the model performs but also how stably and cost-effectively it can be operated in actual service environments. This project will serve as an opportunity for AI model optimization technology to expand into the AI agent operating infrastructure domain."