Clearbox AI
Enabling trustworthy AI adoption

Enabling trustworthy AI adoption

You can use the Clearbox AI Model Assessment to know better your AI models to harness the full power of Artificial Intelligence, while retaining human control over black boxes.
Informed decision-making eases AI adoption

Informed decision-making eases AI adoption

The most powerful AI models are black boxes, this means humans cannot understand and control AI decisions leading to trust, robustness and compliance issues.
These issues restrain real AI adoption in enterprises. In fact, KPMG reports that although more than 90% of organizations are investing in AI today, only 17% have been able to scale it up.
Our Model Assessment provides useful information about AI black boxes, that helps both managers and data scientists. Managers can use this information to decide on adopting powerful AI systems or to justify their choices to clients, while data scientists can use it to expedite their workflow and obtain more robust and calibrated models.
Why should managers procure our tool?

Why should managers procure our tool?

Thanks to our Model Assessment managers finally have a tangible report of actionable insights to assess and validate the models proposed by the AI or data science division. Equipped with this information, they can take more confident decisions and ease client relationships and reporting.
Managers can also save time of some of their most expensive and in-demand workforce, the AI/data science team.
Why should data scientists use our tool?

Why should data scientists use our tool?

A typical problem occurring in machine learning development pipelines is that the evaluation of models is usually done at a very global level by using few standard metrics that fail to capture local model behaviour. Furthermore, the search for the best model architecture is usually done by trial and error or by using optimisation techniques. The result is that quite often data scientists find themselves with several candidate architectures and no clear way to differentiate and evaluate them.

Our model assessment tool helps data scientists by automating the model evaluation procedure. Given a model, our tool generates a report containing actionable information about the dataset and the model under analysis, saving time for the data scientist and simplifying their work— no more infinite scripts for each project and headaches to make open-source techniques work.