The whole CloudStation platform. On your infrastructure.
The cloud control plane, the AI workforce, the workflows, the integrations, the governance layer. Every feature you get on cloud-station.io, deployed and managed inside your servers, your VPS, or your AWS, Azure, or GCP accounts.
From your hardware to a fully managed AI + cloud platform.
We deploy on your infrastructure, you use the full platform, you stay in control. Every CloudStation capability, running inside your network.
Provision, deploy, scale, and observe across every cloud you run.
The same Workspace Instances view you see on cloud-station.io: n8n, Postgres, Redis, Evolution-Api, MinIO, custom apps. One click to deploy, your environments, your network. Status, logs, and metrics in your SIEM.
Bare metalVPS
Charlie + specialised agents, in sandboxes inside your network.
API Caller, App Builder, prototype builders, artifact managers: the same agent gallery from cloud-station.io. Mission planning, agent teams, real-time pairing. Running on your infrastructure with your data and your keys.
Pre-built apps your team can spin up on day one.
The full template store (Evolution API, bolt.new, Orbit Sandbox, NBN, n8n, Redis, PostgreSQL, LinkedOut) deployable in one click into your environment. Or build your own templates and share them across teams.
Kanban workflows, schedules, and connectors on your network boundary.
Drive missions through your own Kanban (Backlog, Planning, Building, Testing, Review). Plug in Slack, GitHub, Google Workspace, Notion, Jira, WhatsApp, Telegram, plus your internal APIs. Trigger from any of them, or from CloudStation's own scheduler.
Plug in your own AI providers. Your keys, your endpoints.
Connect Anthropic Claude, OpenAI, Google AI, Google Vertex, Groq, Moonshot, OpenRouter, or fully on-prem inference. Extend agents with custom skills and Model Context Protocols. CloudStation never sees your model credentials.
Your data. Your keys. Your network.
Enterprise AI and cloud automation only work when you can answer hard questions about control. Private deployments are built for teams that take governance seriously.
Data never leaves
All agent activity, deployment state, context, and artifacts stay inside your infrastructure and network boundaries.
Bring your own keys
Connect your Azure OpenAI, AWS Bedrock, on-prem inference, or your own provider accounts. We never touch your model credentials.
Full audit trail
Every request, plan, deploy, agent action, and output logged to your SIEM, on your retention schedule.
Human review gates
Sensitive deploys, sends, and merges route through explicit approval steps before execution.
Talk to us about a private deployment.
We will scope your infrastructure, security requirements, and rollout timeline. No generic pitches. No forced cloud migrations.