FRONTEO Integrates Generative AI into Unstructured Data Analysis AI 'KIBIT Libria'

## FRONTEO Integrates Generative AI into Unstructured Data Analysis AI 'KIBIT Libria'

FRONTEO Inc. (Headquarters: Minato-ku, Tokyo; President and CEO: Masahiro Morimoto; hereafter 'FRONTEO') has integrated generative AI API capabilities into its AI solution, 'KIBIT Libria', which analyzes unstructured document data. This enables the seamless end-to-end execution of AI-driven summarization, analysis, and the proposal of countermeasures based on document data retrieved via 'KIBIT Libria'.
This enhancement expands the utilization of internal documents from simple 'search' to 'decision support'.

### Challenges in Generative AI and Document Data Utilization
While corporate adoption of generative AI is spreading rapidly, many organizations struggle to establish frameworks for utilizing internal data accurately and securely. Furthermore, even after finding necessary information within accumulated documents, interpreting and analyzing the content still requires significant time and specialized knowledge.

### Transforming Search Results into Decisions with KIBIT × Generative AI
To address these challenges, FRONTEO provides a new solution by combining the high-precision document analysis capabilities of its proprietary equation-driven AI, 'KIBIT', with generative AI using LLMs (Large Language Models). Specifically, the following features have been implemented:

- Generative AI creates summaries based on document data retrieved by 'KIBIT Libria', supporting the understanding of large volumes of documents.
- Cross-analysis of similar cases to identify common causes and propose new countermeasures.
- Reduction of hallucination risks by ensuring 'KIBIT' accurately extracts factual data from actual documents before passing it to the generative AI.

This promotes the sharing and reuse of corporate knowledge and expertise, supporting the acceleration of business decisions and the sophistication of knowledge management.

### Example: MLIT 'Recall and Improvement Measures Notification'
In an example using sample data from the Ministry of Land, Infrastructure, Transport and Tourism (MLIT) 'Recall and Improvement Measures Notification', the generative AI integration feature analyzes similar defect cases within a vast amount of documents to identify commonalities, causes, and propose countermeasures.

FRONTEO remains committed to contributing to corporate DX promotion, productivity improvement, and sustainable growth through the fusion, research, development, and social implementation of its innovative AI solutions and generative AI.