NVIDIA Jetson
Compact edge AI module that fits behind an individual simulator cockpit or procedure trainer. Ideal where the model lives with the device.
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.
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.
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.
Compact edge AI module that fits behind an individual simulator cockpit or procedure trainer. Ideal where the model lives with the device.
Rack- or desk-mounted GPU workstation for installations that need larger models, faster response, or service for multiple stations from a single node.
Server-grade NVIDIA AI hardware for full training facilities, multi-station environments, and centralized inference across an entire installation.
Every one of these runs entirely on customer-owned hardware, against customer-owned data, inside the security boundary the simulator already lives in.
Natural-language-driven, behaviorally plausible adversaries and wingmen for training scenarios — tunable to specific threat profiles.
Analyze a training run, explain what happened, why it happened, and what should have been done differently — grounded in the actual run data.
Pilot speaks naturally; the AI translates intent to simulator controls. Valuable for hands-busy procedure training and high-workload scenarios.
Instructor describes a scenario in plain English; the AI generates the simulator scripts to run it. Faster authoring, lower technical barrier.
Answers “why” questions about procedures, citing the authoritative source — POHs, NATOPS, training manuals — all stored on your hardware.
Run custom scenarios offline against real mission data. AI assists with scenario generation, role-play, and after-action analysis — all on-prem.
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.
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.
30 years building flight simulator instruments, mission trainers, and procedure trainers. A general AI integrator spends years learning the sim domain. We start there.
One engagement, one engineering team. You don't have to coordinate three vendors to get the model talking to the simulator.
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.
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.
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 →