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Air-Gapped AI

Air-Gapped AI Deployment

FISTA Solutions deploys AI in environments with no internet egress: models and dependencies delivered through your approved transfer process, architecture with no outbound calls whatsoever, offline update and evaluation procedures, and audit evidence appropriate to the environment.

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150+
projects delivered
50+
companies served
99.9%
verified uptime
47%
efficiency gains
12+
countries reached

What we build

What does air-gapped AI deployment include?

Air-gapped deployments cover dependency and model packaging for offline transfer, an architecture with no outbound calls, local serving and application runtime, offline evaluation and update procedures, and audit-ready logging held entirely within the boundary.

  1. 01

    Offline packaging

    Models, containers, and dependencies packaged with checksums for your approved transfer process.

    Delivery
  2. 02

    No-egress architecture

    Every component verified to make zero outbound calls, including telemetry, licensing, and update checks.

    Isolation
  3. 03

    Local serving

    Inference serving and applications running entirely within the boundary on approved hardware.

    Runtime
  4. 04

    Offline evaluation

    Evaluation harnesses that run inside the boundary, so quality is measurable without external services.

    Quality
  5. 05

    Update procedures

    Documented processes for model, dependency, and application updates through the transfer path.

    Lifecycle

Requirements

Which requirements shape air-gapped AI deployment?

Air-gapped deployment means every assumption about connectivity is wrong. Requirements cover verified absence of egress, offline dependency management, update procedures that fit your transfer process, and evidence that the boundary holds.

Air-Gapped AI: requirements and how FISTA Solutions builds to them
RequirementWhy it mattersHow FISTA implements it
Verified no egressLibraries phone home by default.Every dependency audited for outbound calls, with network policy enforcement and verification testing.
Offline dependenciesPackage managers assume internet access.Complete dependency bundles with checksums, built and verified before transfer.
Transfer process fitMedia and review processes are strict.Artifacts packaged to your transfer requirements, with manifests and checksums for review.
Offline evaluationQuality must be measurable inside.Evaluation harnesses and golden sets that run entirely within the boundary.
Audit evidenceLogging must stay inside and be reviewable.Local logging and audit evidence retained within the boundary to the environment's standards.

Where AI fits

How should you sequence air-gapped AI deployment?

Air-gapped work is planned backwards from the transfer process: establish what can cross and how often, package for that, verify no-egress behavior in a staging replica, then deploy and document the update cadence.

  1. 01

    1. Map the transfer process

    What can cross the boundary, in what form, and how often — this constrains everything else.

  2. 02

    2. Package completely

    Models, containers, and dependencies bundled with manifests and checksums for review.

  3. 03

    3. Verify in a replica

    A disconnected staging environment proving zero egress before anything crosses the boundary.

  4. 04

    4. Deploy and evaluate offline

    Serving, applications, and evaluation harnesses running entirely inside.

  5. 05

    5. Establish update cadence

    A documented, repeatable update procedure rather than ad-hoc transfers.

Cost and timeline

What does air-gapped AI deployment cost, and how long does it take?

Cost is driven by packaging, verification, and the constraints of your transfer process; timeline by review and transfer cycles rather than engineering. FISTA does not quote blind: the scoping call returns an architecture and a transfer plan.

Transfer cycles dominate the schedule. Each crossing requires packaging, review, and approval, so the plan minimizes the number of crossings and batches changes deliberately.

Verification is real engineering. Proving that no component attempts egress requires auditing dependencies and testing in a disconnected replica, and that work is scoped explicitly.

Send the scope you have, even if it is a paragraph. You get a written brief, an architecture sketch, and a phased estimate before any commitment.

Get a scoped quote

Delivery

How does FISTA deliver an AI deployment?

FISTA deploys AI in four phases: an assessment that inventories workloads, data boundaries, and constraints and produces a target architecture; a platform build with networking, identity, secrets, and observability as code; a migration with evaluation gates and shadow traffic; and a production cutover with dashboards, budgets, runbooks, and rollback.

  1. 1

    Assess and target

    Workload inventory, data classification, latency and volume profile, compliance constraints, and a target architecture with cost model.

    Output

    Target architecture, cost model

  2. 2

    Build the platform

    Networking, identity, key management, model endpoints, gateway, tracing, and evaluation pipeline delivered as infrastructure-as-code.

    Output

    Platform as code, control matrix

  3. 3

    Migrate with gates

    Move applications behind the gateway, run evaluation and shadow traffic, and tune routing, caching, and capacity.

    Output

    Eval reports, shadow results

  4. 4

    Cut over and operate

    Graduated production rollout, dashboards for quality, latency, and cost, runbooks, on-call, and a change process with rollback.

    Output

    Production platform with SLOs

Why FISTA

Why choose FISTA Solutions for air-gapped AI deployment?

FISTA builds air-gapped AI that provably makes no outbound calls, packages completely for your transfer process, and keeps evaluation possible inside the boundary. Work is contracted through a US entity with full IP assignment.

Air-Gapped AI specifics

  • Every dependency is audited for outbound behavior, with network policy enforcement and verification in a disconnected replica.
  • Artifacts are packaged with manifests and checksums to fit your approved transfer process rather than assuming a convenient path.
  • Evaluation harnesses run inside the boundary, so quality remains measurable without external services.
  • Update procedures are documented and repeatable, minimizing the number of boundary crossings required.

How FISTA engineers

  • Spec-Driven Development: every deliverable starts as a written specification with acceptance criteria, so scope is testable before it is built.
  • AI-native delivery: engineers direct coding agents under review gates and evaluation harnesses, compressing build time without loosening verification.
  • Official Anthropic partner, with production experience across Claude, OpenAI, Google, and open-weight models, chosen per workload rather than by default.
  • One accountable delivery lead, weekly demos on your environment, and code in your repositories from week one.

What you get as a client

  • 150+ projects delivered for 50+ companies across 12+ countries since 2017, with 99.9% verified uptime on systems we operate.
  • A US entity (FISTA Solutions Inc., Wilmington, Delaware) for contracting, invoicing, and IP assignment, with an engineering center in Faisalabad, Pakistan for cost-efficient senior capacity.
  • US business-hours overlap for standups and reviews; written decision logs so nothing depends on a meeting you missed.
  • Flexible engagement: fixed-scope build, embedded forward deployed engineers, or a dedicated team that you can scale month to month.

Clear answers

What platform teams ask before deploying AI.

Straightforward guidance for evaluating scope, fit, and the next step.

01Can AI work with no internet access at all?

Yes, with open-weight models served locally and every dependency packaged for offline use. The engineering effort is in verifying that no component attempts egress, which is more common in libraries than teams expect.

02How do models get updated?

Through your approved transfer process using documented, repeatable procedures with manifests and checksums, batching changes to minimize the number of crossings.

03Can we still measure quality?

Yes. Evaluation harnesses and golden sets run inside the boundary, so quality is measurable and regressions are caught without any external service.

04What about telemetry and licensing checks?

Both are common sources of unexpected egress. Every component is audited and configured so that no telemetry, licensing, or update check attempts an outbound connection.

05How long does an air-gapped deployment take?

Engineering is comparable to a normal deployment; the timeline is usually set by packaging, review, and transfer cycles rather than by build time.

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Related capabilities

On-premise LLM deploymentSelf-hosted inference where connectivity exists but data cannot leave.Government compliance and securityHow FISTA builds to public sector security standards.Government software developmentPublic sector systems and modernization.

Scoped in writing before you commit

Run AI inside a boundary nothing crosses.

Bring your transfer process and constraints. The scoping call returns an architecture, a packaging plan, and a verification approach.

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