Project Yuna R&D Lab:
The Hybrid Sovereign Core

Privacy by default. Cloud power on demand.

The Challenge

Enterprises face a critical trade-off: they need the massive compute power of the cloud for R&D, but cannot risk exposing sensitive IP to public API training data. Our challenge was to design an architecture that guarantees data sovereignty at the core, while retaining the ability to scale compute capacity when necessary.

The Architecture

We architected a two-tier system. The Foundation Layer runs open-weight models (Llama, Mistral) in fully air-gapped Docker containers for 90% of daily inference tasks.

For heavy workloads, we engineered Encrypted Burst Pipelines. These allow the system to sanitize and tokenize data before momentarily utilizing secure cloud GPUs (RunPod/AWS), ensuring high performance without permanent data exposure.

The Result

A flexible Sovereign Ecosystem. As shown in the dashboard, the system defaults to 'Zero Egress Mode' for maximum security during sensitive operations.

However, unlike rigid offline tools, Yuna can toggle into 'Hybrid Mode,' giving the enterprise total control over which data stays local and which data leverages the cloud. It is the ultimate balance of safety and speed.