LiberCraft Co., Ltd. Provides Generative AI and RAG Consulting for Major Tokyo Broadcaster

LiberCraft Co., Ltd. (Headquarters: Tokyo; CEO: Daigo Miyoshi) announced that it provided consulting support for generative AI and RAG technologies to a major Tokyo broadcaster from January to March 2026. The project, conducted over nine weekly sessions, contributed to improving the precision of their internal AI chatbot and establishing a foundation for continuous improvement.

### Background and Significance

The major Tokyo broadcaster had already implemented an AI chatbot to improve operational efficiency. However, they faced challenges with response precision and needed a methodology for improvement and a system for evaluation.

LiberCraft addressed these challenges by providing hands-on consulting leveraging their expertise in RAG (Retrieval-Augmented Generation) and LLMs.

### Overview of Support

This project was not an outsourced system development contract but a weekly technical consulting project. While the broadcaster's technical team led the initiative, LiberCraft provided professional expertise and support, creating a structure that promoted in-house capabilities while delivering practical results.

- **Formulating a RAG Pipeline Evaluation Method**: Constructed a framework to systematically analyze challenges in response precision and provide quantitative evaluation. - **Support for Search and Response Precision Improvement**: Assisted in improving search precision and response quality through data structuring and optimization of prompt design. - **Advanced Proposals for the Next Phase**: Presented architectural proposals and a roadmap for further precision improvements.

### LiberCraft's Features and Strengths

- **Proven Track Record in Advanced and Complex Generative AI Development**: Beyond simple tool implementation, LiberCraft has accumulated extensive experience supporting complex RAG and local LLM development. - **Capability Across Broad AI and Data Science Technologies**: From classical data analysis and predictive modeling to state-of-the-art generative AI development, they provide optimal methods based on client goals. - **Hands-on Support for In-house AI/Data Utilization Through Training**: They support not only AI system development but also the training of personnel to utilize AI and data, ensuring true in-house capability and continuous utilization.

### Comment from Representative Director Daigo Miyoshi

"In internal generative AI utilization, the biggest barrier when moving from PoC to production is establishing a methodology to quantitatively evaluate and continuously improve precision."

"By discussing weekly with the team at the major Tokyo broadcaster and providing end-to-end support from evaluation framework construction to concrete improvement approaches, this effort embodies our vision of being a 'technical partner, not just an outsourcing firm.'"

"We will continue to accelerate the social implementation of generative AI through technical consulting that supports our clients' autonomous improvement cycles and internal capacity building."

FACT BOX

  • Source: PR TIMES
  • Category: Partnership