Objective:
A Canadian organization faced communication inefficiencies and data security risks in corporate information exchange. The goal was to develop a secure internal AI-driven service, equivalent to ChatGPT, utilizing open-source language models (LLMs) for confidential communication without external data exposure.
Challenges:
- High computational demands.
- Ensuring optimal performance in an enterprise setting.
- Protecting sensitive corporate data.
Solution:
Zeroik Company developed a locally deployed AI communication platform using advanced models (Mixtral, Mistral) with enhanced security protocols, tailored retrieval-augmented generation (RAG) methods, and quantization for resource efficiency.
Impact:
The system provided a secure, fast, and efficient internal communication tool while safeguarding corporate data and enabling seamless integration with company databases.
Company Size: Mid-sized Canadian enterprise in AI solutions.