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The Valkyrie dashboard is the web app for people (as opposed to the API and MCP server for machines). It is built around one job: teach a model your task, then serve it. After you sign in you land on Home.
Valkyrie Home screen with the start box and model cards

Home: tell the assistant what you need, or bring your own examples.

Home

Home asks What should your model get better at? and gives you one box to start from. Write what you need, then choose how to go with the switch at the top of the box:
  • Do it with the AI assistant: the AI assistant does the work for you. Attach a spreadsheet or text, say what you need, and it builds the training data, prices the run and prepares the fine-tune for you to confirm.
  • I have my examples: pick your dataset, the base model, and the recipe (how many passes over your data), then Start fine-tune opens New fine-tune with those choices already filled in.
What you type stays when you switch. Below the box, No fine-tune needed? Deploy a base model as it is takes you straight to Deploy a base model. Your models shows a card per model with its status, base model, and number of versions. A tested version shows its gain over the base model and, when you set targets, how many it met, such as 2 of 3 targets met. Click Open to go to the model, or use Pipeline view and All models to jump to Models.

AI assistant

Fine-tune by chatting: attach a spreadsheet or text, say what you need, and confirm.

Models, versions, and base models

Two ideas run through the whole dashboard:
  • A model is one thing you are teaching, such as “Ticket triage”. Each training run is a version of it (v1, v2, and so on), so you can train again, with better examples or another base model, and keep every result side by side.
  • A base model is served as it is, with no fine-tune. A fine-tuned model is trained on your examples.
Everywhere an endpoint appears, a pill tells you which kind it is: Base model or Fine-tuned.

The navigation

The left sidebar has two groups. The first follows the path from data to a live model: The second group covers access, activity, and billing: Aliases are opened from the Aliases button on the Endpoints screen. Valkyrie platform staff also see a Platform section (Dashboard, Workspaces, Users, Wallets, Transactions).

The top bar

The top bar is the same on every screen:
  • The workspace switcher, showing the workspace you’re in. Use it to switch workspaces, create one, and answer invitations. See Workspaces and teams.
  • A theme toggle that switches between light and dark.
  • A Balance chip with the active workspace’s wallet balance.
  • A New fine-tune button, so you can start training from anywhere. It’s hidden for roles that can’t start GPU work.

Help center

The Help screen has searchable, in-app guides covering getting started, API keys, wallet and billing, datasets, fine-tuning, models, and troubleshooting, plus a way to send a message to support.
Valkyrie Help center

The in-app Help center.

Signing in

Access the dashboard at valkyrieapp.azumo.com and sign in (or use your organization’s own Valkyrie URL if it runs a separate environment). People authenticate with a session (a JWT behind the scenes); applications and agents use API keys instead.