Managed Private AI Infrastructure

Own your AI outright. Your models, your hardware, your perimeter.

Every API call is rent. Freehold is a configured AI deployment on certified hardware you own — governed applications, a control surface your IT leadership operates, one SLA. Your data never leaves your perimeter, by architecture.

Talk to us The case for owning
01Owned, not rented 02Zero Kubernetes exposure 03Fault-proven governance 04One SLA
free·hold/ˈfriː.hoʊld/ · noun · property law An estate held outright, free of any landlord. The opposite of a leasehold — occupancy on the owner's terms, reverting to the owner when the lease ends.

AI infrastructure has two tenures.

Leasehold

Renting by the token

  • Per-token spend scales linearly with usage, forever.
  • Prices, models, and terms change on the landlord's schedule.
  • Every prompt crosses someone else's threshold.
  • When the contract ends, you hold nothing.
Freehold

Owning the stack

  • Certified hardware on your balance sheet, amortizing from day one.
  • A curated open-weight model menu, kept current. BYOK for the rest.
  • Data that never leaves your perimeter — provable to your auditor.
  • Operated under one SLA. Ownership without a platform team.
~15–20%utilization where owning beats dedicated compliant cloud
0ML engineers needed to govern and operate it
1SLA — one accountable party, hardware to application

A deployment, not a platform project.

It arrives working. The operational machinery stays on our side, so you never have to learn it.

Applications

What employees actually use

Enterprise chat, retrieval over your own corpus, and a private coding assistant in every developer's IDE — governed, and working on day one.

Models

A curated menu, kept current

The strongest open weights, each selected for a job and right-sized to your hardware. Upgrades ship through the managed pipeline as the frontier moves.

Governance

Control without Kubernetes

Model-per-app assignment, access, quotas, network posture, audit. Every action is a configuration change — never a console command.

Sovereignty as an architectural property.

Not a contract clause — a system property. Isolation posture is a configurable ladder: full air gap, governed egress with every outbound call logged, or open.

One control path

Every change is versioned, signed config, reconciled by a proven GitOps engine. Drift is detected and reverted. The audit trail is the change history.

Structural separation

We operate the control plane and are architecturally unable to read the data plane. Telemetry carries control-plane fields only — a constraint that also binds our subcontractors.

Fault-proven

Every enforcement control is validated by injected-fault tests — shown to fail visibly and recover cleanly before we claim it.

Your perimeternothing inside leaves
Governed applications
Enterprise chat · retrieval over your corpus · IDE coding endpoint
We deliver
The Freehold layer — governance & experience
Config-driven control · access & quotas · egress posture · audit
We build & operate
NVIDIA AI Enterprise
NIM model serving · Run:ai scheduling & orchestration
Certified stack
Certified enterprise hardware
Dell · HPE · Lenovo AI factory lines — on your balance sheet
Yours
one SLA · one accountable party · substrate work delivered by the hardware vendor as our subcontractor
Early access

Selecting early deployment partners in regulated industries.

The engine, config schema, and governance topology are built and fault-proven. We're working with a small number of design partners ahead of certified-stack validation.

Start a conversation
hello@ajgventures.co