The step up for growing organizations that need more models, more users, and more integration. Professional adds multi-model deployment, SSL/TLS encryption, role-based access for up to twenty users, three MCP integrations, and a custom AI agent built around your specific workflows — all without a single token leaving your environment.
Professional is purpose-built for organizations that have validated private AI and are ready to deploy it across multiple teams and workflows. All tiers include a final handoff meeting, documentation review, and a 30-day warranty period.
Organizations that deployed Foundations and validated the value of private AI — and are now ready to add more models, more users, and deeper integration without jumping to a full enterprise rollout.
Organizations rolling out private AI across legal, finance, HR, and operations simultaneously. Role-based access ensures each team sees only the models and data they're authorized for.
Teams with a specific, high-value internal process — contract review, intake triage, policy lookup, meeting summarization — that would benefit from a purpose-built AI agent rather than a generic assistant.
Healthcare, legal, and financial services organizations that need documented audit trails, encrypted endpoints, and role-based access controls to satisfy compliance obligations without sacrificing AI capability.
Teams that want the privacy of on-premises AI but aren't ready to invest in dedicated hardware. Professional supports both local deployment and cloud-hosted configurations — including private GPU cloud instances — with identical security posture.
Organizations currently paying for ChatGPT Team, Copilot, and other per-seat AI subscriptions across multiple departments. A single Professional deployment consolidates these into one private, auditable platform at a fixed cost.
Compliance and security review, infrastructure decision (local vs. cloud), user provisioning planning, MCP integration scoping, and model selection for each use case. Network and certificate requirements documented.
Inference server deployed and configured. SSL/TLS certificates provisioned. All three models installed, optimized, and tested. RBAC structure implemented. Monitoring and logging baseline established.
MCP integrations connected and tested. Custom AI agent scoped, built, and validated against your workflow. User accounts and API keys provisioned. Usage dashboard configured and live.
Admin portal walkthrough with your IT team. End-user onboarding for initial teams. Documentation package delivered. System confirmed live. 30-day warranty and 4 post-deploy support hours activated.
| Capability | Tier 1 — Foundations | Tier 2 — Professional | Tier 3 — Business | Tier 4 — Enterprise |
|---|---|---|---|---|
| Setup Fee | $8,000 | $18,000 | $38,000 | $75,000+ |
| Deployment Option | Local only | Local or Cloud | Local + Hybrid | HA Multi-Server |
| Models Included | 1 | Up to 3 | Up to 5 | Unlimited |
| User Accounts | Up to 5 | Up to 20 | Unlimited | Unlimited |
| MCP Integrations | 1 | Up to 3 | Up to 5 | Up to 10 |
| Custom Agents | — | 1 | Up to 3 | Up to 8 |
| RAG Pipeline | — | — | Included | Advanced + Hybrid |
| SSO / LDAP | — | — | SSO / SAML | SSO + LDAP / AD |
| RBAC & Audit Logging | — | Basic | Full RBAC + Logs | Full + Compliance |
| Staff Training | — | Admin walkthrough | Half-day (10 people) | Full-day (unlimited) |
| Post-Deploy Support | 2 hours | 4 hours | 8 hours | 30-day hypercare |
Professional deployments handle real organizational data at scale. These four add-ons directly address the compliance, quality, and governance questions that arise as private AI moves from pilot to production. Multi-add-on bundles of 3 or more are eligible for a 10% discount.
The $18,000 setup fee covers professional services only — labor, configuration, integration work, agent development, documentation, and post-deploy support. It does not include hardware procurement costs for on-premises deployments, cloud GPU instance fees for cloud-hosted deployments, or any third-party SaaS subscriptions required by your chosen MCP integrations.
For on-premises deployments, hardware can be provided by your organization, sourced by Creeksea at cost, or financed over 24–36 months. For cloud-hosted deployments, we'll help you select and configure the right GPU cloud provider for your workload and budget. See our Hardware page for detailed configuration guidance.
All prices are starting rates in USD. Final pricing is determined after a scoping session and provided via a formal Statement of Work. Rates quoted in a signed SOW are locked for the duration of the engagement.
All engagements begin with a complimentary 30-minute discovery call — no pressure, no commitment. We'll discuss your use case, user count, and whether Professional or another tier is the right fit for where you are today.