Support for the introduction of generative AI for closed environments in the pharmaceutical industry.
Accelerating drug discovery research with zero risk of information leakage.
In drug discovery research within the pharmaceutical industry, the confidentiality of research data and the safe use of AI are essential. Due to concerns about the limitations of cloud AI and security, there are many cases where the introduction of generative AI is hesitated. Our closed environment generative AI implementation support service eliminates the risk of information leakage and enables the use of AI in a secure environment. 【Use Cases】 - Design of compound structures - Exploration of drug discovery targets - Analysis of clinical trial data 【Benefits of Implementation】 - Reduction of drug discovery time - Decrease in research and development costs - Assurance of information security
Inquire About This Product
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.
Price range
Delivery Time
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
catalog（3）
Download All Catalogs
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.
![[For the manufacturing industry] AI mass-produces business ideas for materials and component technologies.](https://image.mono.ipros.com/public/product/image/2116937/IPROS4460152255422286394.png?w=280&h=280)
