Support Service for Implementing Generative AI in Closed Environment for Research Institutions
Eliminate the risk of information leakage and streamline paper searches in a safe environment.
In research institutions, protecting confidential information and research data is the top priority in paper searches. Due to concerns about security and restrictions on the use of cloud AI, there are many cases where the introduction of generative AI is hesitated. Our closed environment-compatible generative AI implementation support service eliminates the risk of information leakage and enables the use of AI in a safe environment. 【Use Cases】 - Searching and analyzing academic papers - Organizing and utilizing research data - Efficiently presenting research results 【Benefits of Implementation】 - Elimination of information leakage risks - Significant improvement in research efficiency - Assetization of research data
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【Features】 - Building generative AI systems in closed environments (on-premises / internal networks) - Integration with internal data (file servers, databases, etc.) - Access control and security design - Operational design / formulation of usage rules - Tuning and support for utilization after implementation 【Our Strengths】 Implementation support that balances safety and practicality.
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AI can be utilized in a way that is directly linked to daily operations. • Searching and summarizing internal documents • Automatic generation of business manuals • Drafting reports and proposals • Streamlining knowledge sharing • Automating inquiry responses
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Total proposals from various construction projects to IT consulting. A unit house that can be completed just by connecting the desired buildings. Introduction and operation of a web sales system for acquiring new customers. Currently expanding operations in day services and various other businesses.