Local & Private AI
Evaluation of local and hybrid model patterns where privacy, sovereignty or offline control matters more than novelty.
Overview
What the work is for
This research stream tests where local inference is genuinely useful, what quality trade-offs appear and how private deployments can remain observable and governed. It is not represented as a finished product.
Implemented direction
Capabilities represented
- Local-model evaluation
- Hybrid private/cloud architecture assessment
- Structured-output and quality testing
- Data-boundary and operational-cost analysis
Evidence basis
Why this appears in the portfolio
Supported by documented local-model evaluations and governed pilot work; claims are limited to research activity.
Need a governed system built around a real operational problem?
Discuss the work