What is emma AI Console
A conversational way to run multi-cloud infrastructure — chat with a copilot, watch a live diagram, and keep every change under your control.
emma AI Console is a conversational interface for your multi-cloud infrastructure. Instead of clicking through a provider console or hand-writing configuration, you tell an AI copilot what you want — and emma plans it, shows you a preview, and executes it once you confirm. A live diagram keeps a picture of everything you're running, across every cloud you've connected.
In a nutshell:
- The copilot — a chat assistant that reads your infrastructure, answers questions, and makes changes on your behalf.
- Infrastructure-as-Prompt — describe intent in plain language; emma turns it into a reviewable plan you can execute and export.
- The diagram — a live architecture canvas of your real resources, viewable through network, compute, and security lenses.
- Safety & confirmations — nothing that changes infrastructure happens without your explicit confirmation.
A console you talk to
Sign in with your emma account and connect a cloud provider, and the copilot can see and manage the same resources you'd find in that provider's console. The difference is how you drive it: you ask for outcomes ("give me a small VM in Frankfurt", "where am I overspending?") rather than navigating menus or memorizing API shapes. emma works across the cloud providers it supports — one conversation can span all of them.
What you can do
- Inspect what's running and how it's connected, in chat or on the diagram
- Deploy VMs, apps, databases, and Kubernetes workloads by describing them
- Optimize cost — find waste and cheaper alternatives across providers
- Import existing infrastructure emma isn't managing yet
- Get alerted in Telegram or Slack when something needs attention
- Export anything you build to Terraform, Pulumi, YAML, or JSON
How it's different
If you're coming from a cloud provider's console or from Terraform, see Coming from the AWS console or Terraform for how the concepts map across.
What's next
- Quickstart — deploy and inspect real infrastructure in about five minutes
- Infrastructure-as-Prompt — the idea at the core of emma
- Connect the MCP server — drive emma from your own AI tools