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Our platform integrates seamlessly with Codespaces based on JupyterLab or VCode, providing you with a comprehensive environment to develop, test, and deploy your AI models efficiently. With just a click, you can start with a blank canvas or link your project with an existing model, making it easy to get started on your AI development journey.

Our platform supports advanced federated learning frameworks such as Flower and NVFlare, enabling both secure and collaborative model training across decentralized data sources. This makes federated learning a versatile tool for enhancing collaboration and model building, whether used as a distributed training scheme or with a focus on security and privacy.



Store and manage your data securely with NextCloud, a robust and user-friendly data storage solution. Effortlessly access new datasets from reputable sources such as Zenodo, the Open Data EU portal, Figshare, and many others. Once your models are trained, you can automatically deposit them, ensuring seamless access and sharing of your work. Additionally, you can annotate images only using CVAT, a powerful tool for computer vision tasks. More integrations, including options such as ownCloud and Google Drive, are on our roadmap, providing you with even greater flexibility and convenience for managing your data.

Our platform automatically tracks and documents the entire lifecycle of your AI models, creating detailed provenance and lineage records. It also generates rich metadata for each execution, offering valuable insights into your models’ history, dependencies, and performance. This ensures transparency, reproducibility, and facilitates effective collaboration and future analysis.



Gain access to a suite of additional tools, including CVAT for image annotation and MLFlow for experiment tracking, all tightly integrated with the platform to enhance your AI development workflow. We are open to providing more tool integrations, so feel free to let us know your specific needs.

Easily deploy your models as services with a range of options tailored to your needs. Our platform offers horizontal scalability through serverless computing, ensuring your services can handle varying loads efficiently. You can quickly set up short-lived ‘try me’ endpoints for testing, take advantage of dedicated platform endpoints for stable deployments, or even deploy your models on any cloud Infrastructure-as-a-Service (IaaS) platform of your choice. This flexibility allows you to optimize your AI solutions for both development and production environments.