Support for the Introduction of Generative AI for Closed Environment Research Institutions
Utilizing AI with zero risk of information leakage. Supporting paper analysis.
In the analysis of papers at research institutions, the protection of confidential information and secure data management are essential. The use of cloud AI carries the risk of information leakage, which can be a factor in hesitating to implement it. Our closed environment support service for the introduction of generative AI eliminates the risk of information leakage and enables the use of AI in a secure environment. 【Usage Scenarios】 - Paper search 【Effects of Implementation】 - Improved operational efficiency - Ensured information security
basic information
【Features】 - Construction of 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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Applications/Examples of results
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.