On-Device & Data-Sovereign AI Consulting
Move inference off the cloud — design on-device agentic systems that preserve data sovereignty, reduce latency, and achieve inherent compliance. No third-party data exposure.
Service Overview
For regulated industries, defense-adjacent work, or any team where "we send your data to OpenAI" is a non-starter, this is the alternative: AI systems that run inference on-device, with no data leaving your infrastructure by design.
What's Included
- on-device architecture design
- model selection for edge constraints
- data-sovereignty audit
- and deployment support for the target hardware environment.
Tools & Technologies
Frequently Asked Questions
Does on-device AI mean smaller, worse models?
Not necessarily — the tradeoff is real but manageable with the right model selection and quantization strategy for your hardware.
Is this only for mobile/IoT, or does it apply to on-prem enterprise deployment too?
Both — the core principle (inference where the data already lives) applies to on-prem servers as much as edge devices.
How does this affect compliance posture?
Data that never leaves your infrastructure sidesteps a large category of third-party data-processing agreements and associated audit burden.
Is this for you?
- Sending data to a third-party API is a compliance or security blocker, not a preference
- You need an AI security consultant who understands the difference between "encrypted in transit" and "never transmitted"
- Latency matters and cloud round-trips aren't acceptable