Your AI. Your Data.
Your Future.

The GT AI Operating System software enables you to establish an AI Factory environment which connects to external AI service providers and your local AI models. Your tribal knowledge stays in house and is used to improve your own AI Factory. Break free from AI vendor lock-in and stop sending your data out of the building.

Your workforce needs AI to stay competitive

When your users send company data to disparate, external AI providers, your institutional knowledge evaporates forever. Without capturing your companies AI interactions, you are losing the ability to train your own language models, implement recursive learning, and improve AI workflows for your people and agents. Every day that goes by without preserving your data in a centralized AI Factory you are losing shareholder value. The GT AI OS stops the bleeding. It connects your people and agents to the AI models they need, while keeping everything under your own roof.

Eliminate
AI Vendor Lock-In

 Connect to any AI service provider or run fully local, open-source models. You own the stack. Switch models anytime to capture innovation & manage your AI spend without infrastructure lock-in.

Keep Your Tribal Knowledge

Retain every prompt, response, and workflow. Build your own unique data flywheel for continuous self-improvement and reinforcement learning.

Compliance & Financial Controls Included

Stop flying blind. Gain real-time observability, immutable audit trails, and vendor-neutral financial controls across all users. GT AI OS is designed to help you build Compliance First AI products.

One operating system.
Infinite form factors.

One operating system. Infinite form factors. The GT AI OS is a fully portable, containerized solution designed for maximum flexibility with a small CPU and RAM footprint. Run it on a single compute host or in a Kubernetes cluster.

  • The Tactical Edge: GPU laptops, ruggedized servers, and fly-away kits.
  • On-Premise: Enterprise data centers or fully air-gapped secure enclaves.
  • Cloud: Deploy on your preferred cloud to meet your data sovereignty and compliance requirements.
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