Vault AI Systems builds AI infrastructure you can own. Our first products bring high-performance local models, an agentic operating environment, and deliberate data controls into the networks of teams that cannot afford to send private work elsewhere.
A private working environment for serious AI use
The Alpha Cube and Alpha Cube Pro combine local NVIDIA compute with VaultOS, the GEM agent, VaultLink clustering, and VaultShield security controls. Together they are designed to let teams run models, work with documents, manage background jobs, and expand capacity while keeping prompts, files, and results on their own network.
Teams that need control over sensitive work
Vault is built for organizations handling confidential, regulated, proprietary, or otherwise sensitive information. The system is a fit for teams evaluating local inference, air-gapped data handling, private agents, model deployment, or a predictable alternative to recurring cloud-token costs.
See the system, then ask the practical questions
Review the Vault overview for the platform story, the Alpha Cube page for specifications and current reservation details, and the contact page for production allocation, deployment, support, press, or general questions. Initial production units are expected to ship in late 2026; V1 reservations are currently for eligible US buyers.
A direct line to the Vault team
Vault AI Systems is based in Minneapolis, Minnesota. Reach the team at [email protected], or find the company on LinkedIn. The public agent map explains when this site is the right source for an agent and where to look next.