PLATFORM
Every capability. One consistent workflow.
Every one of these runs the same way: a request becomes a queued job, the job streams its output live, and what it did lands in the audit ledger attributed to whoever asked for it. Managing an EKS cluster and managing a Docker stack differ only in the final step that reaches the system, not in how the work is requested, approved and tracked.
see how the project types map to these pages →SEE IT RUN
CLOUD
Four public clouds, at parity.CLOUD
Four clouds, one control plane.
explore →AWS
AWS, managed with guardrails.
explore →AZURE
Azure subscriptions, managed like every other cloud.
explore →GCP
Google Cloud projects, same control plane.
explore →ORACLE
Oracle Cloud and Fusion Apps, managed together.
explore →INFRASTRUCTURE CANVAS
Draw it. Read the Terraform. Then decide.
explore →INFRASTRUCTURE
The machines, wherever they run.NETWORK & EDGE
How traffic finds them, and proves who they are.APPLICATIONS
What runs on top of them.DOCKER
Stacks and registries, governed.
explore →DEPLOYMENTS
Push to deploy, on your own servers.
explore →MLOPS & MODELS
Your models, managed like infrastructure.
explore →MCP & AGENTS
MCP servers and agents, governed like production.
explore →FRAPPE & ERPNEXT
Every bench, site and app under one console.
explore →DATA
The part you cannot recreate.GOVERNANCE
Who may do what, and what happened.AI ENGINE
BETAAn engineer that reads your fleet, and asks before it acts.
It sits across every capability above, with your own provider key, and it acts only through proposals: it writes one, a human reviews the diff, and only then does the work enter the same queue everything else runs through.
explore →One control plane, whichever layer you are on.
Install it on a host you already have and connect the first thing read-only.