Deploy your models with transparency, control, and compliance
Trusted by
Manageable & complete
Deploy, manage and monitor models
- Seamless model deployment & versioning
- Easy oversight of all running models
- Monitor traffic, performance, evaluation & drift
- Set custom alerts on metrics that matter to you
Transparent & Explainable
Open the black box
- Explain every prediction to end users, with a large set of methods
- Access out-of-the-box explainability features
- Have experts weigh in and give feedback through a feedback loop
- Use the collected feedback to continuously improve model performance
Compliant & responsible
Ensure compliance to upcoming regulations
- Compliance documentation on the EU AI Act and the EU DSA
- Automated checklists on security, privacy, and vulnerability
- Full audit trail, change log, traceability and reproducibility
- Clear ownership, documentation & model cards
Open & Independent
Seamlessly integrates into your current workflow
- Support for major AI frameworks: pytorch, sklearn, tensor flow, xgboost,…
- Support for major XAI frameworks: shap, anchors, MACE, PDP
- Integrations with Sagemaker, Azure ML, MLFlow,…
- Intuitive UI, Python SDK, and extensive API layer
- Available on the AWS and Azure Marketplace within your commit
Find a plan that suits your needs