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Present and explain how your AI models work. Effectively!

ExplainX helps ensure your AI models in production are trustworthy and successful in the real-world.
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Explain random forest Model on HELOC Credit Lending dataset by FICO by using explainx explainable AI frameworkdashboard-card-explainx
ExplainX explainable AI is part of the NVIDIA Inception Program for high-performing AI startups

MEET EXPLAINX.AI

Differentiate yourself from other data scientists.

Deliver unbiased and accurate insights to your clients and business leaders.

Present you model behavior in a better way.
explainX explainable AI supports multiple models

Multi Model Support

From XGBoost to RF to Neural Networks, we support all models.

explainx explainable ai is build for production grade machine learning

Beautiful Visualizations

Get interactive visualizations and extract more insights from your model.

explainx explainable ai is open source for data scientists

Open-Source for Individuals

Get started today with our open-source explainable AI toolkit.

explainX automatically ranks features by their importance to the machine learning model

Make sure your models never fail

Get insights into your model behavior and ensure your model is fair & robust.
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Confirm you have chosen the right features.

Eliminate poor model performance

Find and eliminate areas where your model performs poorly.
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Use our cohort to dive deeper into your model by comparing model performance across different subsets within your data.

You can use SQL query to drill down to understand model behavior
explainx explainable ai uses partial dependence plot and summary plot to measure marginal effects of features on the model output

Uncover how your features impact model predictions

Interpret complex relations between your variables and the model prediction.

Identify patterns like "increasing the value of feature A will increase the probability of achieving X".

Get actionable recommendations

Generate rules and examples based reasoning to provide easy-to-understand insights.

Use counterfactuals, surrogate decision rules & similar profile to summarize model behavior.

data scientists in the financial services industry can easily use explainx to generate counterfactual explanations
data scientists can easily explain xgboost model by using explainxdata scientists can easily explain catboost model by using explainxdata scientists can easily explain any sklearn model by using explainxdata scientists can easily explain keras model by using explainxdata scientists can easily explain tensorflow model by using explainxdata scientists can easily explain pytorch model by using explainx

No need to worry about what environment you're in.

ExplainX is a simple plug-and-play API that you can connect easily with your tech stack and access within your environment.

Say goodbye to any customization or integration issues.

Deploy your models with confidence

More than 80% of the models never make it to the real-world.
Don't let yours be one of them.
data scientists can build transparency into any blackbox model by using explainX explainable AI

Increased Transparency

Data scientists can improve their model performance by using explainX explainable AI

Improved Performance

Data scientists can debug their models faster with explainX explainable AI

Fast Model Debugging

Data scientists can explain their models faster with explainX explainable AI

Increased Explainability

Resources

Explainable AI & Healthcare: A Match Made in Heaven
November 17, 2020
Ready to deploy your model? NOT SO FAST.
November 2, 2020
How to Explain Machine Learning Models with explainX.ai: CatBoost Classifier
October 27, 2020
Visit our Resources Section

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