Trustworthy AI Responsible AI AI Governance Bias & Fairness
Develop and operate AI products and services in a new regulated environment
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A holistic approach to Responsible AI Governance
Select a compliance framework — from the EU AI Act to internal guidelines — and satisfy its requirements with targeted controls. Utilize control reusability to seamlessly conform to multiple standards.
Get a 360° vision of your organization's AI risk position. Identify, mitigate and monitor individual risks with dedicated controls.
Map regulatory and risk controls throughout your AI lifecycle to foster responsible AI governance and ensure accountability from inception to deployment.
What to expect from good AI governance?
Early investment in strong AI governance enables organizational and process changes needed to deliver responsible AI-based products and services
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Worldwide Relevance
We offer the leading and most promising AI frameworks
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AI Governance operationalized
We translate regulatory frameworks into actionable guidance for data scientists
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Fair & Accurate AI
We help identify and mitigate biases to build fair and accurate AI applications
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Auditability & Traceability Biases
We provide comprehensive audit trails, reinforcing trust and accountability in AI
The Value of Responsible AI
Responsible AI is a key cornerstone for effective AI governance. We assist you in establishing best practices for responsible AI that seamlessly comply with regulatory requirements
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Trust
Developing responsible AI demonstrates a commitment to ethical practices, fostering trust among customers, partners, and stakeholders. It enhances an organization's reputation as a socially conscious and responsible entity.
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Regulatory Compliance
Adhering to ethical guidelines and regulatory requirements ensures legal compliance, mitigating the risk of penalties or legal consequences. It safeguards the organization's operations and reputation.
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Risk Mitigation
By addressing data quality issues and biases, responsible AI reduces the potential for unintended consequences and harmful impacts. This mitigates risks associated with biased outcomes, discriminatory practices, or negative public perception.
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Competitive Advantage
Organizations that prioritize responsible AI gain a competitive edge by differentiating themselves as leaders in ethical and trustworthy AI practices. This can attract customers, partners, and top talent who value ethical considerations.
Testimonials
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“At OCAS, Modulos provided considerable added value to our own digital efforts. In just two months, we analyzed several complex datasets and built well-performing ML models.”
Manager Metallurgic Department
OCAS NV
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“We are on the threshold of an entirely new astrophysical discovery space unlocked by machine learning, and Modulos AutoML has been transformative at Harvard in opening doors to this new frontier”
Dr. Grant Tremblay
Astrophysicist, Harvard & Smithsonian
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"Modulos enabled our subject matter experts to quickly explore the possibilities of machine learning.”
Martin Heuschkel
CTO, INFORS AG
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"We have been using Modulos AutoML in our research group and it is working extremely well, making it much easier for anyone to carry out ML projects, even without a strong CS background."
Prof. Ezequiel Treister
Astrophysicist, PUC Chile
