Organize AI Work with Projects & Workspaces
Centralize your AI development in collaborative workspaces. Manage projects, share resources, control access, and maintain complete visibility across your entire AI portfolio.
Centralized AI Development
Everything your team needs to build, deploy, and manage AI in one place
Project Organization
Create structured projects for each AI initiative. Group related apps, workflows, models, and datasets in logical hierarchies for easy navigation.
Team Collaboration
Invite team members, assign roles, and collaborate in real-time. Share prompts, workflows, and insights across your organization seamlessly.
Access Control
Granular permissions at workspace, project, and resource levels. Define who can view, edit, deploy, and manage AI assets with role-based access control.
Resource Sharing
Share prompts, models, and workflows across projects and teams. Build a library of reusable AI components that accelerate development.
Usage Analytics
Track usage, costs, and performance across all projects. Understand which AI applications drive value and optimize resource allocation.
Environment Management
Separate development, staging, and production environments. Promote changes safely through your deployment pipeline with version control.
Streamline AI Operations
Work faster and smarter with organized workspaces
Reduce Context Switching
Everything in one place means less time searching and more time building. Teams report 40% faster project onboarding.
Enterprise Governance
Maintain compliance and control with centralized policies, audit logs, and data governance across all AI projects.
Reusable Components
Build once, use everywhere. Shared workspaces enable teams to leverage existing AI assets, accelerating time to value.
Build and Deploy with the Strongly Python Package
Work in your favorite environment, deploy seamlessly to production
Code Where You're Comfortable
Write code in your favorite IDE or Notebook environment using the Strongly Python package. Whether you prefer Jupyter, VS Code, PyCharm, or any other development environment, Strongly integrates seamlessly into your existing workflow.
Deploy ML Models
Push trained models directly to the Model Registry from your development environment. Version control, metadata tracking, and governance built-in.
Track Experiments
Log parameters, metrics, and artifacts automatically. Compare experiments, visualize results, and reproduce successful runs with full lineage tracking.
Deploy to AI Gateway
Deploy AI models and applications to the AI Gateway with a single command. Automatic scaling, monitoring, and guardrails for production deployment.
Deploy Applications
Package and deploy complete AI applications for use in the App feature. Share with end users through intuitive interfaces without code changes.
Service Discovery
Access add-ons, data sources, workflows, ML models, and the AI Gateway through automatic service discovery. No manual configuration required.
Unified Workflow
Single Python package handles everything from local development to production deployment. Consistent APIs across all Strongly services and features.
Development to Production in Minutes
Code Locally
Develop in your IDE or notebook
Track & Test
Log experiments and validate models
Deploy Models
Push to registry and AI Gateway
Launch Apps
Make available to end users
Ready to Organize Your AI Projects?
See how workspaces streamline AI development for enterprise teams