01
Keep sensitive data controlled
Deploy AI workflows in private infrastructure with customer-specific access control, storage boundaries, and administrative policies.
Private AI infrastructure for sensitive organizations
AI capability without sending your data to public AI platforms.
Private Frontier Cloud by Alquire helps organizations deploy private AI agents, document intelligence, and secure automation on isolated or reserved private compute.
PrivateCustomer data stays inside the approved environment.
ManagedInfrastructure, models, security, and operations handled by Alquire.
FlexibleDedicated or reserved compute options as needs evolve.
Concept offering now forming
Private AI Cloud Options
Dedicated Private Cloud for AI
Single-customer private hardware for higher-assurance AI workloads.
Reserved Private Cloud for AI
Reserved compute on limited-client private hardware for cost-efficient private AI.
2–4clients per reserved hardware pool
0public AI training by design
Built for regulated data
Private AI agents
Managed GPU infrastructure
Secure document intelligence
Alquire-operated
Why this exists
Public AI tools are powerful. Sensitive organizations still need control.
Hospitals, banks, local governments, legal teams, and security-conscious companies are under pressure to adopt AI while protecting confidential data, customer records, internal workflows, and proprietary knowledge.
Private Frontier Cloud is designed for organizations that want practical AI adoption without turning every prompt, file, transcript, ticket, or policy document into a third-party AI dependency.
02
Turn documents into answers
Build private knowledge assistants for policies, contracts, SOPs, tickets, procedures, and internal documentation.
03
Launch without building an AI team
Alquire manages the infrastructure, deployment, monitoring, and support layer so customers can focus on use cases.
Products
Two private AI cloud models. Same private-first principle.
Start with the level of isolation and performance your organization needs today, then evolve as usage, risk, and budget become clearer.
Single customer hardware
Dedicated Private Cloud for AI
A dedicated private AI environment for organizations that require the strongest isolation, predictable performance, and a high-assurance operating model.
- Dedicated GPU compute, storage, and network segmentation
- Customer-specific AI agents and private knowledge base
- Private model endpoints for approved applications and workflows
- Best fit for sensitive, regulated, or mission-critical workloads
Limited-client private hardware
Reserved Private Cloud for AI
A private AI environment where 2–4 organizations may coexist on Alquire-managed private hardware, each with reserved minimum and maximum compute allocation.
- Reserved compute minimums and maximums
- Tenant isolation for data, indexes, users, and AI workspaces
- Lower entry cost than fully dedicated hardware
- Best fit for pilots, departments, small regulated teams, and growing adoption
| Capability | Dedicated Private Cloud for AI | Reserved Private Cloud for AI |
|---|---|---|
| Hardware model | Single-customer private hardware | Private hardware shared by a small limited pool |
| Compute allocation | Dedicated capacity | Reserved minimum / maximum capacity |
| Best for | Higher assurance, strict isolation, predictable workloads | Private AI pilots, departments, and budget-conscious adoption |
| Data boundary | Customer-specific storage, indexes, and policies | Tenant-isolated storage, indexes, and policies |
| Growth path | Add GPUs, storage, nodes, or dedicated clusters | Increase reserved capacity or graduate to dedicated |
Initial use cases
Practical AI agents before risky AI experiments.
Private Knowledge Assistant
Ask questions across internal policies, SOPs, contracts, HR docs, technical manuals, and procedure libraries.
IT & Helpdesk Copilot
Summarize tickets, draft responses, generate scripts, search documentation, and speed up technician workflows.
Secure Document Intelligence
Extract, summarize, classify, and compare files while keeping documents inside the approved private environment.
Workflow Agents
Connect private AI to approved internal systems for controlled automation, review queues, and human-in-the-loop actions.
Architecture
Designed as managed private infrastructure, not a public AI account.
Private Frontier Cloud can be deployed as dedicated hardware or a reserved-capacity pool, with clear boundaries for identity, data, model endpoints, logging, and operations.
Private inference endpoints
Local embeddings and vector indexes
SSO / MFA integration
Encrypted storage and backups
Monitoring and security evidence
Security posture
Private by design. Compliance-ready by process.
Private Frontier Cloud is not presented as an instant compliance checkbox. It is designed to support the controls, documentation, and operating discipline that regulated customers expect.
IdentitySSO, MFA, role-based access, admin separation
DataEncrypted storage, private indexes, customer-specific retention policies
OperationsMonitoring, backup verification, change records, incident response process
GovernanceAcceptable-use policy, model approval, human review, audit-ready evidence
Who it is for
Built for organizations where data control matters.
Policies, patient-facing operations, documentation, and internal knowledge workflows.
Private analysis, internal procedures, client service support, and operational knowledge.
Controlled AI adoption for departments, agencies, and public-service teams.
Contract review support, knowledge management, matter research, and staff productivity.
Adoption path
Start with a controlled pilot. Expand only after value is proven.
- Discovery briefingIdentify data types, risks, use cases, users, systems, and success criteria.
- Private AI pilotLaunch a narrow knowledge assistant or helpdesk copilot with approved data.
- Security reviewDocument access controls, logging, retention, backup, and operating procedures.
- Production rolloutMove to Dedicated or Reserved Private Cloud for AI based on usage and assurance needs.
Private Frontier Cloud by Alquire
Ready to explore private AI for your organization?
Request a briefing to review use cases, data sensitivity, deployment options, and the right starting point for your team.
Replace the phone number and email address before publishing. Use a business mailbox such as hello@privatefrontier.cloud when ready.