Today we're launching one of our most requested features: multi-project support. Professional and Enterprise users can now organize their AI workflows into separate projects, each with its own resources, team access, and deployment settings.
Why Multi-Project Support Matters
As teams scale their AI development, organization becomes critical. With multi-project support, you can separate development environments, manage team permissions more effectively, and keep different client work completely isolated.
| Feature | Free | Starter | Professional | Enterprise |
|---|---|---|---|---|
| Projects per user | 1 | 1 | 3 | Unlimited |
| Routes per project | 1 | 10 | Unlimited | Unlimited |
| Team collaboration | ❌ | ✅ | ✅ | ✅ |
| Project templates | ❌ | ❌ | ✅ | ✅ |
Getting Started with Multiple Projects
Professional users can create up to 3 projects, while Enterprise users have unlimited projects. Each project maintains its own:
• Dedicated API endpoints • Separate usage analytics • Individual team permissions • Isolated deployment environments
We're already working on project templates and advanced collaboration features. Stay tuned for more updates as we continue to improve the multi-project experience.