Private AI models
Run open-source models inside your perimeter, with optional, governed paths to external APIs when policy allows.
Private AI infrastructure
Private AI Infrastructure for Enterprise
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.
Control plane
LLM runtime
Private inference
Vector store
Encrypted index
Internal API gateway
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
Built for companies that can’t afford to take risks with data
When AI touches regulated, confidential, or strategic information, the deployment model matters as much as the model itself.
- Private cloud or on-prem deployment
- No data exposure to public AI models
- Enterprise-grade access control
- Fully auditable and compliant
The constraint
AI is powerful. But using it publicly comes with risk.
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
A private AI system built for your organization
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.
Everything you need to run AI securely
A single platform footprint covers model serving, retrieval, interfaces, and audit—not a patchwork of unsecured experiments.
Secure data layer
Ingest, index, and manage internal documents with a private vector database and encrypted object storage.
Internal AI access
Deliver AI through an internal console or API designed for employees—not a public chat product.
Governance & compliance
Enforce who sees what, retain immutable activity records, and align with enterprise security baselines.
Deployed in weeks, not months
Implementation is scoped to your environment so you reach production readiness without a multi-year internal build.
- 01
Infrastructure setup
We deploy Vault Systems into your private cloud or on-premises footprint, aligned with your network and security model.
- 02
Data integration
Internal sources are connected, normalized, and indexed with encryption and access rules applied from day one.
- 03
AI activation
Teams begin using governed AI across documents and workflows—without changing where data is allowed to reside.
Deployment
Private stack versus public tooling
The comparison most CIOs and CISOs care about is not feature count—it is where bits land and who can see them.
| Dimension | Vault Systems (private) | Typical public AI SaaS |
|---|---|---|
| Data residency | Inside your boundary | Vendor-controlled regions |
| Model traffic | Stays on your network | Routes via external APIs |
| Audit evidence | Your logs, your retention | Limited to vendor exports |
| Policy surface | RBAC + data zones | Coarse account controls |
Designed for real business operations
Vault Systems is built for teams that live in documents, systems, and operational data-not generic web prompts.
- Analyze internal reports instantly
- Access company knowledge in seconds
- Enable secure AI usage across departments
- Support faster, better-informed decisions
Control, security, and performance without compromise
No external data exposure by default
Faster than staffing a full internal platform team
Architected for regulated and security-conscious environments
Adaptable to your network, storage, and identity stack
Bring AI into your organization securely
Start with a private deployment designed around your infrastructure and requirements.
FAQ
Answers for security and platform teams
Straightforward detail on how private deployments are structured—before you involve procurement.
Speak with our solutions team
Share your environment, data classes, and timelines—we will respond with a concrete next step.