Local models on Edge
AI models running on-site on the more capable, server-class Edge hardware you control — not the small portable unit, but the same platform family we've shipped since 2017.
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AI that runs where your data has to stay.
For work where the data can't leave the country, the building, or the device. We set up AI on infrastructure you control — local models on a Hyracbox Edge Server, your own hardware, or an in-country cloud — so nothing has to be sent to someone else's servers. This is the path for organizations ready to invest in AI that works fully offline.
When it's the right call
When the data simply can't leave.
Most AI can run in the cloud. Some can't. This is for the work where sending data out isn't an option — by law, by policy, or by conscience.
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Patient records, child-protection cases, refugee identities or donor details that must stay in-country.
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A regulator, a ministry, or a data-protection law that forbids sending the data to outside servers.
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Sites with no reliable internet, where the AI has to keep working with nothing but local power and hardware.
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A funder or board that needs to see, concretely, that beneficiary data never leaves your control.
What we set up
AI on infrastructure you own and control.
We choose the option that fits your law, your sites and your budget — from a small on-site server to your own data centre.
Your own hardware
On the servers you already run, in your building or your data centre, under your control.
In-country cloud
Where a local cloud region satisfies the rules, we deploy there — data stays inside the border.
A sealed perimeter
Data flows designed so nothing crosses the boundary. What's in stays in; nothing phones home.
Proof you can show
Documentation a board, a donor or a regulator can read to see exactly where the data lives and moves.
A team that can run it
Your staff trained and equipped to operate it — with support arranged for the parts that need us.
Investment
An engagement, scoped to what your rules require.
Running AI on your own infrastructure is a real investment — in hardware, setup, and the care to do it safely. We scope each one to your sites, your data, and the rules you answer to.
PriceFrom $75kVaries with hardware, number of sites, and how strict the requirements are.
ShapeEngagementUsually staged: design, then deploy, then support.
Good to knowFrequently funded as infrastructure in a grant. We can help shape the proposal — see Grant Implementation.
Included
- Design of the deployment and data boundary
- Setup on Edge, your hardware, or in-country cloud
- Local models configured for your use
- Documentation for boards, donors and regulators
- Team training and a support arrangement
Worth naming
- Hardware cost varies — we'll be clear about it up front
- Local models trade some capability for staying on-site; we'll be honest about the trade-off
- Most organizations start with a cloud pilot first, then bring it in-house when the rules require
What shapes the price
How much AI you're running. Bigger models, or several of them, need more powerful hardware on-site.
How many sites. Each location comes with its own hardware and setup.
How strict the rules are. Tighter security, or a formal standard to certify against, means more work.
The state of your data. Data that needs cleaning or organising first adds time before anything can run.
Resilience. Backup hardware and failover, for the places where downtime isn't an option.
Ongoing support. Keeping it running and up to date over time, if you'd like us on hand.
Most deployments start lean and grow only where the mission genuinely needs it. We'll always scope to what's actually required — and say so if something isn't worth the cost.
Questions
What people ask.
Is on-site AI as good as the big cloud models?
Honestly, not always — local models trade some raw capability for the guarantee that data never leaves. For many real tasks that trade is well worth it. We'll tell you plainly where it fits and where it doesn't.
Do we need this, or is the cloud fine?
Most organizations are fine on the cloud, or on a cloud region inside their country. Sovereign deployment is for the specific cases where the data genuinely can't leave. If you don't need it, we'll say so.
What is a Hyracbox Edge Server?
It's our offline-capable server platform — and it comes in a range of forms, from a small, portable unit up to full server-class machines. The compact version is the popular one, and it's ideal for delivering content offline. Running local AI models on-site, as this service does, uses the more capable server-class hardware — which is part of what the price reflects.
Can a grant pay for it?
Often, yes — this kind of work usually fits a technology or infrastructure line in a proposal. We can help shape that before it's funded; see Grant Implementation.
Related
Often alongside.
If the data can't leave, the AI can still come to it.
Tell us what the rules require, and we'll map the honest options — including whether you need this at all.