Use Case
Sep 11, 2025
Secure AI Platform for Manufacturing: Turning Distributed Knowledge into Action
On-prem LLMs with RAG and fine-tuning unify decades of data to deliver intelligent search, optimize machine performance, accelerate development, and enforce strict IP and data-privacy controls.
Problem
The firm’s extensive knowledge of 100 years old is siloed, hindering efficient access for employees and innovation.
Leveraging this data for AI requires robust security to protect intellectual property and customer information.
Existing systems struggle to deliver timely, relevant insights.
Use Case
Developing a secure, AI-powered knowledge platform using RAG and fine-tuned LLMs.
This enables intelligent search, optimize machine performance, accelerate product development, and enhance cybersecurity.
The platform provides instant access to critical information for all key teams.
Solution
Implementing a secure, on-premise LLM platform with strong data security and access controls.
A combination of fine-tuned SLMs and RAG workflows to connect the Teacher LLM to the firm’s data and fine-tune individual models for internal use cases.
Continuous monitoring and compliance with data privacy regulations are essential.
Changelog