Building the optimal AI environment for your company with advanced security and research and development expertise.
Using "local LLM" as an entry point, we provide consulting for optimal AI utilization tailored to security requirements. We offer consistent support from building a completely proprietary environment to unique additional training (tuning). Without being constrained by LLMs, we select "truly optimal methods" based on objectives and budget. We also conduct lectures aimed at in-house development.
Inquire About This Product
basic information
Service Menu Implementation Consulting / PoC ... Issue organization, method selection, verification through prototypes Environment Setup ... Hardware selection, implementation in on-premises/cloud private networks Model Customization ... Additional training, RAG construction, integration with internal systems Maintenance and In-house Support ... Operational maintenance, procedure lectures for internal improvements
Price range
Delivery Time
Applications/Examples of results
I want to leverage AI to improve productivity, but... do you have any of the following concerns? - Worries about the external leakage of internal or research data - A closed environment where cloud AI cannot be used - Unclear criteria for selecting generative AI and LLMs
catalog(1)
Download All CatalogsCompany information
Our company values "expertise" and "uniqueness," and we provide solutions limited to the field of system development, which we can confidently offer. We are capable of providing robust solutions centered around social infrastructure, including medical systems, analysis and control systems, public systems, and financial systems. Moreover, because we limit our fields of expertise, our strength lies in our ability to propose systems based on a deep understanding of our customers' business operations. Please feel free to contact us with your requests.




![[Information] Proposal for Streamlining Back Office Operations](https://image.mono.ipros.com/public/product/image/955/2000556202/IPROS02502419628856952136.png?w=280&h=280)






