introducing

Clearbox AI Control Room

An MLOps solution to put existing Machine Learning models into production in accordance with the principles of Trustworthy AI.

Deep Pre‑production analysis

AI Control Room automatically generates a model assessment to help model owners to identify robustness issues, potential undesired behaviour, and explain errors and uncertainties regarding the model predictions.

Model behaviour validation

Validation metrics and plausible causes of error are clearly presented, potential limitations and irreducible uncertainty are identified and local explanations of the model behaviour are generated selecting representative points in the dataset.

Synthetic data generation

Our generative model can be used to create synthetic data points that preserve the statistical properties of the original dataset. These points can augment the original training set to improve generalization, to increase model robustness, and to oversample specific labels when in the presence of unbalanced data.

Data-centric analysis

Our generative models perform a probabilistic analysis of the underlying data allowing for robust outliers detection and uncertainty analysis. This information can help you to evaluate data quality.

Centralised tracking system

AI Control Room acts as a centralised tracking system to store lineage, versioning, and metadata of your datasets and models. Assessments generated are securely persisted along with models and datasets.

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Clearbox AI Control Room screenshot