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Explain, Debug & Monitor your AI Models.

We help you understand model behavior, know the logic behind model predictions and remove biases so your machine learning models never fail in the real world.
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Free for individual data scientists!

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ExplainX explainable AI is part of the NVIDIA Inception Program for high-performing AI startups

MEET EXPLAINX.AI

Make your models stand out.

Deliver unbiased and accurate insights to your data science team and business leaders.
explainX explainable AI supports multiple models

Multi Model Support

From XGBoost to RF to Neural Networks, you can explain any model.

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

It's free for you to use in your personal projects!

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

Build trust in your AI model

Learn how your model behaves.

Ensure your model is fair & robust.

Identify and remove any biases in your data.

Eliminate poor model performance

Always be aware of your model performance.
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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".

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.

Connect with your existing tech stack with a plug-n-play API.

No worry about compatibility or integration issues.

Deploy your models with confidence

With explainX, get more transparency, improve model performance, debug errors and gain stakeholder trust in your models.
data scientists can build transparency into any blackbox model by using explainX explainable AI

Increase Transparency

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

Improve Performance

Data scientists can debug their models faster with explainX explainable AI

Debug Quickly

Data scientists can explain their models faster with explainX explainable AI

Gain Trust

Resources

Combining the power of explainX and H2O.ai in a seamless integrated workflow
January 7, 2021
explainX v2.4 - Q4 Enhancements (Release 1)
December 7, 2020
Explainable AI & Healthcare: A Match Made in Heaven
December 7, 2020
Visit our Resources Section

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