introducing

Clearbox AI Control Room

Data-centric MLOps solution to assess and empower datasets and models, accelerating their production readiness.

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.

Synthetic data generation

Clearbox AI’s 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, to oversample specific labels when in the presence of unbalanced data and to overcome access and sharing issues (privacy).

Data-centric analysis

Clearbox AI’s 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.

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.

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