On-premise AI for data that can't leave.
Full AI capability deployed inside your environment — on-prem, air-gapped, or your own VPC — with zero data egress and complete sovereignty. When your data legally or contractually cannot reach a hosted API, we bring the model to the data instead.
When the data cannot go to the model
For most enterprises, the question of where AI runs is a matter of preference. For a meaningful slice of them, it is a hard constraint. Classified programs, protected health information, material non-public financials, privileged legal matters, and contractually fenced customer data share one property: they cannot be sent to a third-party, hosted model API — not because of caution, but because regulation, classification, or contract forbids it outright.
The answer is to invert the usual flow. Instead of shipping your data out to where the model lives, you bring the model in to where the data already sits. We deploy the entire stack — weights, inference runtime, retrieval, and application — inside your network boundary, your air-gapped enclave, or your private cloud tenancy, so the data never crosses a line it is not allowed to cross. The capability is the same; the perimeter is yours.
A complete AI stack inside your boundary.
Every layer runs where you control it — nothing depends on a connection to anyone else's cloud.
- On-prem GPU servers
- Air-gapped enclaves
- Your VPC / private cloud
- No external API calls
- Egress filtering & isolation
- Local model & vector store
- Customer-managed keys
- In-jurisdiction residency
- Full access control
- Controlled one-way updates
- In-boundary monitoring
- Model refresh in place
Where on-premise AI is non-negotiable
Some workloads cannot be served any other way. On-premise and air-gapped deployment is the only option when the data carries an obligation that outbound transit would violate:
- Defense & classified — CUI and classified programs that must run on accredited, isolated networks with no path to the public internet.
- Healthcare PHI — patient data under HIPAA where minimizing disclosure and keeping records in-house is the safest posture.
- Financial & PII — material non-public information and regulated personal data that cannot be exposed to third-party processors.
- Legal privilege — privileged matter and work product where sending text to an external API risks waiver and confidentiality.
- IP & trade secrets — source code, formulations, and designs whose value depends on never leaving the organization.
From scope to production.
Fixed scope, fixed price, twelve weeks from briefing to live deployment inside your perimeter.
Common questions.
Can we run AI fully air-gapped with no internet?
Yes. We deploy the model weights, inference runtime, retrieval layer, and application into an enclave with no route to the public internet. Models are loaded from media or an internal registry, updates arrive through a controlled one-way transfer process, and nothing — no prompts, no documents, no telemetry — ever leaves the boundary. The system runs entirely on local compute.
What hardware do we need for on-prem AI?
It depends on the model size, concurrency, and latency target. Smaller quantized models run on a single workstation GPU; production deployments for many concurrent users typically need one or more multi-GPU servers. We size the GPU, memory, and storage to your workload before any purchase — see our GPU infrastructure page for the sizing detail — and can target hardware you already own.
How does on-prem AI stay current without sending data out?
Model and software updates flow inward, never outward. New open-weight model versions, security patches, and evaluation sets are staged in a controlled zone, scanned, and promoted into the enclave through a reviewed one-way process. Your data, prompts, and fine-tuning corpus stay inside the boundary the entire time, so the system improves without a single byte of your information leaving.
Explore related capabilities.
On-premise AI by industry.
How private, air-gapped deployment maps to the realities of each regulated vertical we serve.
Ready to bring the model to your data?
Tell us the constraint — the regulation, the classification, the contract clause — and the workload it blocks. In thirty minutes we will show how a fully private, zero-egress deployment runs that workload inside your boundary. Response inside 24 hours.
Experienced within
Markets served.
As an enterprise AI agency, eeko systems delivers production AI systems remote-first across the United States and internationally — including these markets: