English 
KDDI Eyelet Corporation, an AI integrator that accelerates the social implementation of AI by integrating its track record in cloud and multi-cloud deployments with cutting-edge AI technology, will begin offering its new service “LLMOps for Google Cloud” from Monday, July 27, 2026.
This service leverages Google Cloud’s generative AI technology to observe, evaluate, and quantify the response quality of AI agents, and provides comprehensive support from prompt optimization based on evaluation results to re-evaluation after improvements. It transforms quality control, which previously relied on the experience and intuition of the person in charge, into objective evaluation based on scores, and realizes the LLMOps operational cycle of observation, evaluation, improvement, and re-evaluation that is continuously repeated.
In recent years, the use of generative AI has become widespread, and more and more companies are introducing AI agents for internal operations and customer support. On the other hand, continuous quality improvement is essential even after the introduction of AI agents, and challenges have become apparent such as “it is not possible to see the AI’s responses and not know if the correct information is being delivered to the user,” “it is not possible to quantify response quality and judge whether the quality is good or bad,” and “the quality of other parts deteriorates with each correction, making stable operation difficult.”
こちらもお読みください： テラデータ、ハイブリッド型エンタープライズAIプラットフォームを発表しました
Furthermore, in many companies, quality improvement relies on the experience and know-how of the person in charge, leading to challenges such as the personalization of the improvement process and increased operational burden.
ですから KDDIアイレット will leverage its expertise cultivated through Google Cloud’s generation AI technology and AI agent implementation and operation support to launch “LLMOps for Google Cloud.” By providing a mechanism to continuously improve the response quality of AI agents, it will support companies in advancing their AI utilization and the social implementation of AI.
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