Generative AI Implementation Support Service

basic information

Introducing the overall support framework. We will respond flexibly according to the stages, from organizing issues to full-scale implementation. [01] Free Consultation and Hearing Organizing current issues and desired outcomes [02] Issue Organization and Proposal Requirements definition, PoC, and small-scale testing [03] Outcome Confirmation and Full-Scale Implementation Decision Evaluating the PoC and determining feasibility for implementation [04] Development and Implementation Comprehensive support from design to development to release [05] Operation and Improvement Ongoing support for maintenance and improvement

Price range

Delivery Time

Applications/Examples of results

■Introduction of Support Cases 【For Local Governments】Support for Developing Generative AI/RAG Chatbots Challenge: It took a long time to search and utilize internal documents, leading to a heavy burden in responding to inquiries and verifying documents. Response: Built a RAG chatbot in a short period, compared LLM accuracy for internal document utilization, and improved UI/UX. Result: Contributed to generating responses using internal documents, improving search accuracy, and enhancing functions with an eye on operations. 【For Large Enterprises】Support for LLM Tuning and Accuracy Evaluation PoC Challenge: There was a need to verify the applicability of on-premises LLM in an offline environment due to business characteristics. Response: Selected LLM, considered evaluation policies, analyzed customer data, created training data, and conducted accuracy evaluations. Result: Visualized evaluations before and after LLM tuning, contributing to the organization of materials necessary for model selection and full-scale implementation decisions. ■Performance in Numbers Practical experience with generative AI - Over 2.5 years Number of AI-related project contracts - Over 10 Number of supported companies - Over 5 Number of industries served - Over 5