Closed-Architecture AI for Defense & Simulation | AITI
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New Capability · 2026

Closed-Architecture AI for Defense & Simulation

AI capability your security boundary will accept.

On-premises, air-gap-compatible AI systems for classified and ITAR-controlled simulation environments. Large language models running entirely on customer-owned hardware — no cloud API, no external network, no data ever leaving the facility.

On-Premises Air-Gap Compatible ITAR-Aware AS9100 / VOSB
NVIDIA Jetson Orin Nano Super edge AI module — AITI development platform
Edge AI · Embedded Tier Live in AITI Lab
NVIDIA Jetson Orin Nano Super JetPack 6.2 · local LLM inference · no internet required

Cloud AI can't enter your boundary.

Classified, air-gapped, and ITAR-controlled simulation environments increasingly want AI capability — natural-language interaction, intelligent adversaries, voice-driven interfaces, AI-assisted debrief. But mainstream vendors have no compliant path in.

No cloud APIs allowed Controlled data can't be shipped to OpenAI, Anthropic, Google, or any external service.
No public internet Operational systems run inside boundaries that do not connect to the open network.
Yet the demand is real Training, debrief, scenario authoring, and operator interfaces all want AI — today.

Three platforms. One architecture.

AITI builds turnkey edge-AI hardware for the scale of installation you need — from an embedded module behind a single sim cockpit, to a workstation per crew station, to a DGX-class node serving an entire training facility. Same closed-architecture pattern at every tier.

NVIDIA Jetson edge module
Tier 1 · Embedded

NVIDIA Jetson

Per-cockpit / per-station

Compact edge AI module that fits behind an individual simulator cockpit or procedure trainer. Ideal where the model lives with the device.

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Tier 2 · Workstation

RTX Workstation

Mid-tier installations

Rack- or desk-mounted GPU workstation for installations that need larger models, faster response, or service for multiple stations from a single node.

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Tier 3 · Facility

DGX-Class

Training facility / fleet

Server-grade NVIDIA AI hardware for full training facilities, multi-station environments, and centralized inference across an entire installation.

What it does inside the wire.

Every one of these runs entirely on customer-owned hardware, against customer-owned data, inside the security boundary the simulator already lives in.

AI Adversaries & Wingmen

Natural-language-driven, behaviorally plausible adversaries and wingmen for training scenarios — tunable to specific threat profiles.

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AI Instructor & Debrief

Analyze a training run, explain what happened, why it happened, and what should have been done differently — grounded in the actual run data.

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Voice-Driven Interfaces

Pilot speaks naturally; the AI translates intent to simulator controls. Valuable for hands-busy procedure training and high-workload scenarios.

Scenario Authoring Assistant

Instructor describes a scenario in plain English; the AI generates the simulator scripts to run it. Faster authoring, lower technical barrier.

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RAG-Grounded Procedure Trainers

Answers “why” questions about procedures, citing the authoritative source — POHs, NATOPS, training manuals — all stored on your hardware.

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Mission Rehearsal

Run custom scenarios offline against real mission data. AI assists with scenario generation, role-play, and after-action analysis — all on-prem.

Not a generic AI shop. A simulation vendor that builds AI.

You don't need a startup that needs three years to learn your environment. You need a vendor already on your approved list, with the engineering depth to wire the model into the simulator stack you already run.

01

Already serves this customer base

Already cleared. Already on the approved vendor lists. Already understands ITAR and classified workflows. We engage at the boundary you actually have, not the one a brochure imagines.

02

Knows simulation deeply

30 years building flight simulator instruments, mission trainers, and procedure trainers. A general AI integrator spends years learning the sim domain. We start there.

03

Hardware + software + integration

One engagement, one engineering team. You don't have to coordinate three vendors to get the model talking to the simulator.

04

Compliance-first by design

Everything is architected around air-gap and on-prem from day one — not retrofitted from a cloud product that was never going to fit inside your boundary anyway.

A complete closed-AI engagement.

AITI engages on custom integration and development. The first deployment is engineering work, not a download — scoped to your platform, your data, and your simulator stack.

Customer-owned hardware Jetson, RTX workstation, or DGX-class. You own it, you run it, you control it.
Air-gap compatible No external network required during operation. No phone-home. No telemetry leaving the facility.
Optional fine-tuning Tune on your aircraft, mission profiles, or training corpora — entirely on customer infrastructure.
RAG with citations Answers grounded in your authoritative documents — POHs, NATOPS, training manuals.
Simulator integration Wired into the stack you already run. No greenfield rebuild required.
ITAR & CMMC-aware Built by a vendor already inside the compliance regime your program operates under.
Engage With Engineering

Discuss a closed-AI deployment for your program.

The first conversation is with the engineering team that will build it — not a sales funnel. Bring your platform, your security posture, and the capability gap you're trying to close.

Request a Capability Briefing →
dave@aircraftinstruments.com
813-783-3361
39520 Aviation Ave, Zephyrhills, FL 33542