Launch Week 3: Five days of launches
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LLM Evaluation
LLM Evaluation

Benchmark LLM systems with research-backed metrics.

LLM Observability
LLM Observability

Trace, monitor, and alert on production LLM systems.

AI Red Teaming
AI Red Teaming

Stress-test LLM apps against adversarial attacks.

AI Governance
AI Governance

Enforce AI standards and controls across teams.

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Contact salesSign Up

Manage Organization Projects

View and manage all projects within your organization from a central location.

View and manage all projects in your organization. Each project card shows the project name and the number of members with access.

Managing Projects

To manage projects:

  1. Navigate to Organization Settings → Projects
  2. Use the search bar to find a specific project
  3. Click on a project card to open it
  4. Click Create New Project to add a new project

Why Multiple Projects?

Projects provide data isolation within your organization. All data—test cases, metrics, datasets, traces, and more—is separated at the project level. Users from one project cannot access data in projects they don't belong to, even if they're in the same organization.

Organization, Inc. box holding Projects 1, 2, 3 to n separated by dividers, with arrows from below pointing into multiple projects
Data Organization and Separation in Confident AI

Common Project Structures

  • By use case — One project per AI application (e.g., "Customer Support Bot", "Document Summarizer")
  • By team — One project per team working on AI features
  • By environment — Separate projects for development, staging, and production evaluations
Rolling out across your org?Set up the controls your team needs before a wider rolloutTalk to us

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