Case 03 / 03 · 2026-
Multi-AI
A fully local private AI environment that made key business processes more than 50% faster.
01 · Problem
A data recovery and digital forensics company needed to automate work with documents, email, and content, while sensitive data could not be sent to external AI services.
02 · Approach
MLDYX deployed a local two-node GB10-class cluster. The environment combines vLLM, n8n, PostgreSQL, and Qdrant to work with company knowledge, support email, and prepare and structure store content without external model APIs.
03 · Outcome
Selected processes became more than 50% faster while data and models remain under the client's control. The system continues to be developed and maintained.
Client names where we may. Otherwise the work is described as a system - problem, approach, outcome.
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