What is explainX.ai?
ExplainX is an explainable AI library for data scientists that enables them to explain, analyze and debug any black-box machine learning model - in just a single line of code.
We want data scientists to be more effective
in explaining model predictions to business stakeholders and building trustworthy AI solutions.
Our mission is to make a user-friendly, intuitive, and collaborative product for data science teams to enable explainable and resonsible AI.

With explainX, you can:

  • β€‹πŸ‘©πŸ»πŸ’»β€‹πŸ‘¨πŸ½πŸ’» Explain model predictions by identifying important features and their impact on the final outcome.
  • ​
    Debug machine learning models by understanding data distributions and the marginal effects of changing individual feature values.
  • ​
    Use the SQL module to dive into how model behavior changes with different subsets of your dataset. For example, the model might behave differently for different categories.
  • β€‹πŸŽ¨ Business explanations by identifying similar profiles that support your model logic and are understood easily by your business stakeholder.
  • 🎨 Use our what-if analysis and counterfactuals to play out different business scenarios and identify actionable recommendations for better business decision making.

What's more?

Get in touch with us now: https://www.explainx.ai/contact-us​
Check out our pricing: https://www.explainx.ai/pricing​
​Join our Slack community: https://www.explainx.ai/join-our-slack-community​
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