Linkage and versioning of test data and results to a model facilitates structured iterations. User attribution is enabled for all labels and actions.
Granular visibility controls protect models and data from unauthorized access without hindering collaboration.
Any cloud, any hardware, no vendor lock-in and no need to migrate data.
Easily swap any components with customized or proprietary solutions.
All components incorporate core principles of transparency, accountability, privacy and security, and fairness.
Quickly gain insights into model effectiveness on your data. Upload an existing model and evaluate that model on your data from our datasets API. Evaluation code can be written and version-controlled along with the evaluation datasets.
Automate the collection of user truth marking and iterate to improve your test datasets. Allow your models to continuously improve. Treat your data like an asset.
Automated Data and Model pipelines ensure that whenever new models or data are generated, your results are promptly delivered. View your pipeline metrics alongside the evaluated models and datasets instantly.