Clearbox AI Control Room
Clearbox AI Control Room
AI Control Room
Our solution is model agnostic and can be used to perform a model assessment and to create a production container for model deployment.
Model Assessment
The model assessment step can help model owners to identify robustness issues, potential undesired behaviour, and explain errors and uncertainties regarding the model predictions.
The output of such an assessment is:
Analysis Report
A report containing an overview of the most important validation metrics, an analysis of the plausible causes of error and a calibration of the model output.
Inference Engine
An inference model converted into a production ready architecture.
Data Augmentation
The possibility to generate additional training data to further improve the model performance.
Model Deployment
Once a model has been validated our Control Room can be used as an MLOps solution for deploying the validated model. The model is served by creating an augmented API for inference and a database for continuous monitoring. The packaging process is performed using open source and state of the art libraries such as ONNX and FastAPI which guarantee optimal computational performance.
The augmented API is generated by using our proprietary eXplainable AI libraries. This API is designed to:
Explanations
Enrich single queries with local explanations of the output and to enhance the interpretability of the model decisions. Explanations are presented in the form of historical examples, decision rules and counterfactual examples.
Monitoring
Create an intuitive feedback mechanism to monitor the model performance over time.
Trust & Reliability
Perform robust uncertainty quantification of the model output to increase trust in each recommendation.
Anomaly Detection
Perform anomaly detection of live data and report adversarial attacks.
Corso Castelfidardo 30/a
10129 Turin, Italy
P.IVA 12161430017