Utilizing AI with zero risk of information leakage. Supporting drug discovery research.
In drug discovery research within the pharmaceutical industry, it is crucial to minimize the risk of information leakage due to the handling of highly confidential data. The use of cloud AI carries the risk of information leakage, which can be a factor in hesitating to implement it. Our closed environment-compatible generative AI implementation support service eliminates the risk of information leakage and enables the use of AI in a secure environment. 【Use Cases】 - Compound exploration 【Benefits of Implementation】 - Improved research efficiency - Ensured information security
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basic information
【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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Applications/Examples of results
AI can be utilized in a way that is directly connected to daily operations. • Searching and summarizing internal documents • Automatic generation of business manuals • Drafting of reports and proposals • Streamlining knowledge sharing • Automating inquiry responses
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Company information
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.
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