Private AI access with model choice and cost control
Run Orchestris as a dedicated managed environment or self-host it in your infrastructure. Give employees one place to use OpenAI, Anthropic, Gemini, and private internal models.
Built for business control
Private Deployment is for teams that need model choice, clear access controls, and flexible hosting.
Your infrastructure, your terms
Choose self-hosted infrastructure or a dedicated managed deployment with isolated resources and clear ownership.
Open and private model access
Standardize access to commercial providers and production-ready internal models from one client experience.
User and team controls
Manage employee access, quotas, model availability, and administrative controls from a central portal.
Cost and usage visibility
Track usage by provider, model, team, and user so finance and operations can understand AI spend.
Deployment licensing
Keep private deployments connected to the licensing portal for plan limits, deployment secrets, and validation.
One client everywhere
Roll out one AI workspace across desktop, web, and mobile without asking employees to juggle separate provider tools.
Deployment models
Choose the operating model that matches your security, procurement, and infrastructure needs.
Self-hosted
Run Orchestris Server in your own cloud or network while the license portal manages entitlement and validation.
- Customer-controlled infrastructure
- Private provider credentials
- Deployment secret validation
Dedicated managed
Let Orchestris operate an isolated environment for your organization with custom limits and support coverage.
- Dedicated resources
- Region and scale planning
- Managed updates and operations
Hybrid provider mix
Route work across hosted providers and local models while keeping access policy and reporting in one place.
- Commercial and internal models
- Provider-level controls
- Centralized usage reports
What is included
The same Orchestris product surface, packaged for organizations with stricter control requirements.
Administration
- User and team controls
Manage employees, access levels, and policy groups.
- Provider catalog
Connect OpenAI, Anthropic, Gemini, and internal model providers.
- Model routing
Expose the right model aliases to the right teams.
- Usage reporting
Review tokens, requests, latency, and estimated spend.
Rollout support
- Deployment planning
Align the environment with your infrastructure, teams, and operating needs.
- License portal setup
Issue deployment secrets and configure validation endpoints.
- Operational handoff
Document provider setup, limits, monitoring, and support paths.
- Priority support
Response targets and escalation paths sized for business use.
Plan a private AI deployment
Tell us how your teams use AI today. We will map the right deployment model, provider mix, and limits for your organization.