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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.
Verify Your AI Solution's
Performance and Manage Model Risk Effectively, 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
