When to run a model yourself, and when to use a cloud provider, it's a harder question than vendors make it sound. We map your supply chain risk, evaluate sovereign options, and build the architecture that gets results without locking you in.
Cloud, hybrid, or self-hosted, each with fixed pricing and managed ongoing. The right choice depends on your classification level, data sensitivity, and usage volume.
The most opinionated option, Azure OpenAI, our reference architecture, running in your environment within days. We've chosen the stack. You get capability fast. We design the integration architecture, implement it, and manage it ongoing.
Fixed price confirmed before we start. No change orders.
A split environment where some decisions are yours to make, which workloads go where, what sensitivity threshold triggers local inference. More flexibility, more complexity. Common for agencies that need sovereignty for sensitive prompts but want cloud inference for lower-sensitivity tasks. We design the routing logic and manage both environments.
Fixed price confirmed before we start. No change orders.
Your infrastructure, your model, your constraints. Fully sovereign and fully custom, this is the most complex option to scope and deploy, and the one that requires the most from your environment. The model runs on your infrastructure, on-premise, air-gapped, or in a dedicated Azure Government region. No data leaves your environment.
Ongoing management available as an add-on ($1,200/mo)
Talk to us about self-hosted deploymentOne-time fixed project price. Ongoing management is an optional add-on.
These four factors determine the architecture. We work through each one before recommending anything.
What classification does your data operate at? PROTECTED, OFFICIAL, or SENSITIVE? This determines whether a cloud provider can legally hold your data and what sovereign options are viable.
Who trained the model, on what data, and under what jurisdiction? For government use, the model's provenance matters as much as where it runs.
Not all prompts carry the same risk. A document summariser and a legal advice tool have very different requirements, even if they use the same model.
Cloud inference is cheap at low volume and expensive at scale. Self-hosted is expensive upfront and cheap at scale. We model the crossover for your expected usage before recommending.
Three deep dives into the real problems behind AI infrastructure for government.
Tell us your classification level and what you're trying to do. We'll tell you which model makes sense.