BlackAlpine
Access revoked
No standing BlackAlpine access
The deployment role is removed, credentials are rotated and the external access test is recorded. The runtime continues under your control.
Deployment roleRevoked
Sovereign AI · deployed into your control
Your AI. On your infrastructure. Under your authority.
We deploy a private AI runtime inside the cloud or data centre you already control—or build that environment with you. Open-weight models, integrations, policies and logs stay in your estate. At handover, our temporary deployment access is revoked. Your team keeps the keys.
- Your environment
- Your identity
- Your data
- Your keys
The handover
Sovereignty is not where the model runs. It is who can still reach it.
Compare deployment with operation. Your runtime, data and controls do not move. Our temporary access disappears.
Your operational environment
Control stays here.
- 01EnvironmentYour tenant or data centreYours
- 02Keys & secretsYour vaultYours
- 03Model registryYour approved artifactsYours
- 04Audit streamYour monitoring systemsYours
- 05Runbooks & IaCYour repositoriesYours
Control stateHandover complete
- Standing access
- None
- BA credentials retained
- 0
- Support connection
- Closed
- Operational owner
- Your team
After handover selected. BlackAlpine deployment access revoked.
One private runtime
Open-weight models behind one endpoint.
Your applications call a private, OpenAI-compatible endpoint. Behind it, approved open-weight model families can be benchmarked, pinned, replaced or run in parallel while production data flows remain inside the approved deployment boundary. Interface compatibility is validated per application.
- 01
Private model gateway
Private endpoint · routing · authentication · rate limits
- 02
Open-weight families
Llama · Qwen · Mistral · DeepSeek · GLM
- 03
Policy layer
SSO / RBAC · guardrails · tool allow-lists · purpose controls
- 04
Operations
Version registry · audit stream · monitoring · rollback
Final model and version selection follows workload benchmarking, security review, hardware fit and licence approval.
Secure by construction
Every claim comes with evidence.
Security is designed into the data, access, model and operating paths. The handover closes with evidence that your controls—and our loss of access—work as agreed.
ControlEvidence at handover
Data paths stay bounded
Prompt, response and retrieval traffic follows private routes inside the approved boundary. Named operational flows are documented before acceptance.
Access stays yours
Your SSO, least-privilege roles and secrets held in your own vault govern every user and workload.
Models stay controlled
Approved registries, signed artifacts, pinned versions and promotion gates prevent silent model changes.
Operations stay auditable
Audit events, model versions and policy decisions feed the monitoring systems your teams already operate.
No standing access
BlackAlpine roles are removed, deployment credentials are rotated and loss of access is tested at handover.
Deploy where you govern
Your tenant, project, account or data centre.
Already have an approved AI landing zone? We deploy into it. If not, we build the private network, compute, identity and operating controls with you—in infrastructure controlled by your institution from day one.
- Microsoft AzureYour tenant
- Amazon Web ServicesYour account
- Google CloudYour project
- Oracle CloudYour tenancy
- IBM CloudYour account
- Private infrastructureYour data centre
The final design reflects regional availability, accelerator capacity, resilience requirements and regulatory constraints.
Start with the boundary
Keep the runtime. Keep the data. Keep the keys.
Bring your workloads, data constraints and preferred environment. We return a deployment design, model shortlist, security controls and a handover plan.
Design the sovereign instancecontact@blackalpine.ai · sovereign AI deployment