AI infrastructure that fits your operating model.
For many organizations, public SaaS is not enough.
Sensitive data, internal policy, customer requirements, sector regulations, and procurement standards often require a higher degree of isolation and control.
Backboard Private Cloud gives teams a secure foundation for AI applications while fitting into the infrastructure and governance model they already use.
Dedicated deployment environment
Private networking and isolated access
Control over cloud region and data residency
Integration with existing identity and access management
Approved model and provider policies
Secure access to internal systems and knowledge
Configurable retention, logging, and governance controls
Bring AI closer to your protected systems.
AI becomes more useful when it can securely work with the information and systems your organization already depends on.
Backboard can operate inside a private environment alongside approved databases, document stores, enterprise applications, and internal services.
Built for private enterprise environments
VPC and VNet deployment models
Private endpoints and restricted network access
Single-tenant architecture options
Identity provider integration
Secure retrieval over approved internal knowledge
Controlled model access and routing
Separation across teams, clients, and environments
This gives your teams the benefits of modern AI without creating a new uncontrolled data path.
This gives your teams the benefits of modern AI without creating a new uncontrolled data path.
Use the models your policies allow.
Private cloud deployment does not mean limiting your organization to one model provider or one approach.
Backboard supports approved proprietary, open-weight, and custom models based on your performance, cost, privacy, and policy requirements.
Built for private enterprise environments
VPC and VNet deployment models
Private endpoints and restricted network access
Single-tenant architecture options
Identity provider integration
Secure retrieval over approved internal knowledge
Controlled model access and routing
Separation across teams, clients, and environments
Built for complex enterprise and regulated workloads.
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Financial Services and Insurance
Support secure internal copilots, research workflows, document intelligence, and operational automation while maintaining strong control over sensitive data.
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Healthcare and Life Sciences
Enable private AI systems for research, operations, knowledge access, and specialized workflows without exposing proprietary or regulated information.
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Government and Public Sector
Deploy AI in approved cloud environments with clear control over residency, access, governance, and integration with existing systems.
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Large Enterprises and Systems Integrators
Create repeatable AI foundations across business units or client environments without forcing every deployment into a shared public platform.
Private by architecture. Flexible by design.
Backboard Private Cloud gives organizations a practical middle ground between public SaaS and fully on-premise infrastructure.
You get the scalability and operational flexibility of cloud infrastructure while preserving the control, isolation, and governance required for serious enterprise AI deployments.