We understand the ethical need for processes to be transparent and unbiased in highly regulated industries dealing with life and assets. But this should not be the reason for slow technological adoptions by preventing the use of constant improving AI.
Our proprietary explainable AI
We understand the ethical need for processes to be transparent and unbiased in highly regulated industries dealing with life and assets. But this should not be the reason for slow technological adoptions by preventing the use of constant improving AI.
Supports the world's leading machine learning libraries
How It Works
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Click to see more!
Click to see more!
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Global Feature Importance
Learn which features are most responsible for the overall performance of the model and get ML experts insights on why certain graphs skew in varied directions.
Individual Prediction Dashboard
Break down how a prediction is made using the top features interacting with the datapoint, while comparing it to the global interpretations side by side.
What If Analysis
Understand how changing the value of one or more parameters affects the prediction, and identify edge cases leading to different outcomes.
Feature Processing and Outlier Detection
Update the model with new data, and simultaneously check for outliers leading to significant changes in feature distributions.
Why Explainable AI?
Trusted Decision Making
Human Machine Collaboration
Satisfy Industry-specific Compliance Checks
Supports the world's leading machine learning libraries
How It Works
Click on each section to see more!
Global Feature Importance
Learn which features are most responsible for the overall performance of the model and get ML experts insights on why certain graphs skew in varied directions.
Individual Prediction Dashboard
Break down how a prediction is made using the top features interacting with the datapoint, while comparing it to the global interpretations side by side.
What If Analysis
Understand how changing the value of one or more parameters affects the prediction, and identify edge cases leading to different outcomes.
Feature Processing and Outlier Detection
Update the model with new data, and simultaneously check for outliers leading to significant changes in feature distributions.