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Maximize Model Accuracy and Robustness 
by Mitigating Vulnerabilities and Biases

Boost AI model development with a high-definition performance assessment. Eliminate noise and robustness flaws, and increase accuracy and stability by mitigating vulnerabilities through enhanced explainability, robust validation, and effective monitoring.

Robust

validation

Effective

Monitoring

Enhanced

explainability

Effective

Monitoring

Robust

validation

Enhanced

explainability

Maximize Model Accuracy and 
Robustness 
by Mitigating 
Vulnerabilities and Biases

Thorough Validation

Transform your development process with a high-resolution map to swiftly pinpoint and precisely fix model issues

Use proprietary metrics to ensure performance and robustness

Build robust, reliable, and trustworthy models that are better suited for deployment in real-world applications

Transform your development process with a high-resolution map to swiftly pinpoint and precisely fix model issues.  

Use proprietary metrics to ensure performance and robustness. 

Build robust, reliable, and trustworthy models that are better suited for deployment in real-world applications.

Explainability At Every Level

Easily explain the model’s behavior and predictions to different stakeholders

Analyze explainability at the global, local, cluster, and segment levels

Ensure your model is compliance-ready

Easily explain the model’s behavior and predictions to different stakeholders

Analyze explainability at the global, local, cluster, and segment levels

Ensure your model is compliance-ready 

Explainability At Every Level

Effective Monitoring

Assure your models are continuing to perform at a high level in production

Make sure your models provide accurate and reliable results

Set up alerts according to the tolerance and the thresholds you define

Assure your models are continuing to perform at a high level in production

Make sure your models provide accurate and reliable results

Set up alerts according to the tolerance and the thresholds you define

Citrusx Use Case Screenshot

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Download our case study to learn how we were able to provide transparency into a complex model and reduce potential risks with the Citrusˣ solution.

See how we reduced risk by 75% by providing transparency into the model.

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