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By downloading the use case, you consent to allow Citrusˣ to store and process the personal information submitted above to provide you with the content requested. For more information on our privacy practices, please review our privacy policy.

Download our case study to find out how we can help you navigate the intricate landscape of AI development while meeting regulatory standards and upholding the principles of fairness and ethics in AI.

Learn how Citrusˣ can ensure your models are fair and compliant. 

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Verify Your AI Solution

 Is Performing Effectively and Without Bias

Identify, assess, and mitigate risks while ensuring regulatory compliance.

Verify Your AI Solution

 Is Performing 

Effectively and Without Bias

Identify, assess, and mitigate risks while ensuring regulatory compliance.

Identify Hidden Risks 

Set up thresholds according to the tolerance you define

Detect potential risks from third-party vendors

Investigate and identify fairness issues with an interactive dashboard

Complying with Regulations

Define tolerance to Fairness issues to align with your regulatory needs

Demonstrate adherence to regulations

(like ISO 42001 and the EU AI Act) via the reporting system 

Ensure your models stay compliant while in production 

Optimize Model Approval Process

Automatically generate cross-domain, customizable reports for all stakeholders 

Gain full transparency into the AI lifecycle to protect your business

Establish a fully automated risk assessment workflow for approving AI models

Identify Hidden Risks 

Investigate and identify fairness issues with an interactive Dashboard

Detect potential risks from third-party vendors

Set up thresholds according to the tolerance you define

Complying with Regulations

Define tolerance to Fairness issues to align with your regulatory needs

Demonstrate adherence to regulations via the reporting system 

Ensure your model stays compliant while in production 

Optimize Model Approval Process 

Automatically generate cross-domain, customizable reports for all stakeholders 

Gain full transparency into the AI lifecycle to protect your business

Establish a fully automated risk assessment workflow for approving AI models

Investigate and identify fairness issues with an interactive Dashboard

Detect potential risks from third-party vendors

Set up thresholds according to the tolerance you define

Identify Hidden Risks 

Complying with Regulations

Define tolerance to Fairness issues to align with your regulatory needs

Demonstrate adherence to regulations via the reporting system 

Ensure your model stays compliant while in production 

Optimize Model Approval Process 

Automatically generate cross-domain, customizable reports for all stakeholders 

Gain full transparency into the AI lifecycle to protect your business

Establish a fully automated risk assessment workflow for approving AI models

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