Plans / deployment

Choose how Codaro runs.

Start with managed audit, bring your own AI endpoint, move to dedicated capacity, or deploy inside infrastructure you operate.

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View legacy plans, existing subscription options and billing.

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Entry paths
01 /

Solo

For individual developers who want an independent audit layer.

Deployment

Managed

  • Independent audit layer in your editor
  • Coding agent not included
  • Managed inference, operated by Codaro
  • Model access managed by Codaro
  • Usage quota managed by Codaro
  • Inference costs covered by Codaro within the available quota
  • Installs from VS Code or Open VSX
02 /

Team

BYOK

For teams that want the coding agent and audit layer while keeping their own AI provider.

Deployment

Bring your own endpoint

  • Independent audit layer
  • Coding agent
  • Your own API key
  • Your own endpoint
  • Inference uses your own provider key and endpoint
  • Provider usage is billed to you directly by your provider
  • No Codaro-managed token quota for the agent
  • Configurable team evidence and approval records
Infrastructure deployments
03 /

Scale

For larger and regulated teams that need dedicated AI infrastructure.

Deployment

Dedicated

  • Everything in Team
  • Team evidence and approval trail
  • A dedicated machine or dedicated environment
  • Agreed infrastructure provider and region
  • Open-weight model support
  • A predictable, contracted deployment
  • Infrastructure and usage terms set in the agreement

The model and deployment capacity are defined in the agreement.

04 /

On-premise

For organizations that need Codaro deployed inside infrastructure they operate.

Deployment

Customer-operated

  • Independent audit layer
  • Coding agent
  • Evidence and approval controls
  • Deployed inside your own environment
  • Runs on hardware and infrastructure you operate
  • Provider, model and capacity defined contractually
  • Rollout scoped with your security and infrastructure teams

The model and deployment capacity are defined in the agreement. Scoped per deployment.

Dedicated deployments are agreed, not configured.

For Scale and On-premise, the infrastructure provider, the region, the served model and the deployment capacity are set in the agreement and provisioned for you. There is no model switch in a dashboard, because the deployment is scoped to what was agreed.

Not sure which one fits?

Tell us where your code has to stay, who has to be able to review it, and how your team works today. We will map that onto one of the four.

Talk about a deployment
Codaro

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Codaro Plans - Solo, Team, Scale and On-premise