Private AI models
Run open-source models inside your perimeter, with optional, governed paths to external APIs when policy allows.

Private AI infrastructure
Run AI inside your own environment. Keep your data secure, controlled, and fully within your organization.
Vault Systems deploys a complete private AI system in your cloud or on-premise infrastructure so your teams can use AI without exposing sensitive information to public tools.
LLM runtime
Private inference
Vector store
Encrypted index
Traffic remains inside your perimeter
Built for organizations that treat data as a liability if mishandled

Private cloud or on-prem

No public model exposure

Enterprise access control

Auditable operations
The constraint
Organizations are adopting AI to accelerate work and improve decisions. Most consumer-style tools route requests through external APIs—creating friction for security, legal, and compliance teams who must answer a simple question: where did our data go?
Sensitive documents, internal communications, and proprietary knowledge should not leave an environment you do not fully control.
The approach
Vault Systems installs a secure AI infrastructure layer where your data already lives. Teams query internal knowledge, draft from private corpora, and automate workflows without sending payloads to public endpoints.
Everything runs within your control.
A single platform footprint covers model serving, retrieval, interfaces, and audit—not a patchwork of unsecured experiments.
Run open-source models inside your perimeter, with optional, governed paths to external APIs when policy allows.
Ingest, index, and manage internal documents with a private vector database and encrypted object storage.
Deliver AI through an internal console or API designed for employees—not a public chat product.
Enforce who sees what, retain immutable activity records, and align with enterprise security baselines.
Implementation is scoped to your environment so you reach production readiness without a multi-year internal build.
We deploy Vault Systems into your private cloud or on-premises footprint, aligned with your network and security model.
Internal sources are connected, normalized, and indexed with encryption and access rules applied from day one.
Teams begin using governed AI across documents and workflows—without changing where data is allowed to reside.
Vault Systems is built for teams that live in documents, systems, and operational data-not generic web prompts.

Start with a private deployment designed around your infrastructure and requirements.
FAQ
Straightforward detail on how private deployments are structured—before you involve procurement.
Share your environment, data classes, and timelines—we will respond with a concrete next step.