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Maximize Model Accuracy and Robustness by Mitigating Vulnerabilities and Biases

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.

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.

Prepare for the EU AI Act with Citrusˣ

Ensure AI Compliance with Confidence
The EU AI Act is reshaping how organizations develop, deploy, and monitor AI systems. Citrusx empowers companies to navigate these regulations effectively, offering a robust platform to validate, explain, and monitor AI models at scale, reducing the risk of hefty penalties.

Contact us today to learn how Citrusˣ can support your compliance journey.

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What Is the EU AI Act?

The EU AI Act, effective from August 1, 2024, establishes comprehensive regulations for AI systems, categorizing them by risk levels: prohibited, high risk, limited risk, and minimal risk. High-risk systems face stringent requirements, including:

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Risk Management:

Identifying and mitigating risks.

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AI Governance:

Ensuring responsible and compliant AI development and deployment.

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Transparency:

Informing users about AI operations and risks.

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Human Oversight:

Guaranteeing human control over AI decision-making.

Non-compliance risks hefty fines of up to €35M or 7% of global annual turnover, reputational damage, and restricted market access. Examples of high-risk systems include AI used for biometric identification at airports, automated loan approval systems in banks, and predictive policing tools utilized by law enforcement.

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Effective Monitoring

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

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

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Ensure your model is compliance-ready 

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

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Make sure your models provide accurate and reliable results

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

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How Citrusˣ Helps You Meet EU AI Act Requirements

AI Inventory Management

Track and manage your AI models across their entire lifecycle, ensuring visibility and accountability.

Risk Management and Mitigation

Conduct in-depth assessments of risks, such as bias, fairness, and robustness, and implement strategies to address them.

AI Governance

Maintain control over your AI systems, ensuring compliance with ethical and regulatory standards while mitigating risks across the lifecycle.

Transparency and Explainability

Provide detailed documentation and insights into your AI systems to meet transparency requirements and improve stakeholder trust.

Ongoing Monitoring and Reporting

Continuously monitor AI models to ensure compliance, generate customized reports for regulators, and maintain real-time insights into AI performance.

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

White cirlce and dot design element on turquoise background

Make sure your models provide accurate and reliable results

White cirlce and dot design element on turquoise background

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

White cirlce and dot design element on turquoise background

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

White cirlce and dot design element on turquoise background

Make sure your models provide accurate and reliable results

White cirlce and dot design element on turquoise background

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

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Stay Ahead of EU AI Act Compliance

Citrusx ensures your AI systems align with the latest EU AI Act requirements, reducing regulatory risks and avoiding costly penalties for non-compliance.

Comprehensive AI Governance

Our platform offers an end-to-end solution, from AI validation and monitoring to data privacy and security, tailored to meet the EU AI Act’s stringent standards.

Faster Time to Market

With automated tools for risk assessment, bias detection, and documentation, Citrusx accelerates the compliance process, allowing you to deploy AI solutions with confidence.

Boost Stakeholder Trust

Demonstrate your commitment to ethical AI practices by partnering with a trusted platform that ensures transparency, fairness, and accountability in your AI operations.

Mitigate Risks with Proactive Monitoring

Citrusx provides continuous monitoring of your AI systems to detect vulnerabilities, biases, and performance drifts, helping you maintain compliance even as regulations evolve.

Scalable Solutions for Any Industry

Whether you're in finance, healthcare, or technology, our flexible platform adapts to your unique needs, ensuring seamless integration into your workflows.

Expert Support Every Step of the Way

Our team of AI and compliance experts works closely with you to navigate the complexities of the EU AI Act, offering tailored advice and hands-on guidance.

Benefits of Partnering with Citrusˣ

Ready to Align with the EU AI Act?

Partner with Citrusˣ to future-proof your AI systems, comply with EU regulations, and unlock the full potential of your AI solutions. With a focus on Accuracy, Robustness, and Governance, we help you achieve compliant, reliable, and trustworthy AI.

Contact us today to learn how Citrusˣ can support your compliance journey.

Resources

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The EU AI Act: 6 Ways It Will Impact Risk Management

The EU AI Act: 6 Ways It Will Impact Risk Management

A Detailed Explanation of the 7 Stages of the ML Lifecycle

A Detailed Explanation of the 7 Stages of the ML Lifecycle

11 Commonly Used Risk Assessment Models for AI

11 Commonly Used Risk Assessment Models for AI

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