Modulos Responsible AI Platform
In the rapidly evolving landscape of AI regulation, organizations are grappling with the complexities of adhering to multiple frameworks, managing risks, and ensuring responsible AI practices. Modulos introduces our Responsible AI platform which uniquely combines vertical and horizontal approaches to address these challenges.
How does Modulos platform work?
Adhere to frameworks and manage risks along the AI lifecycle
Define the organizational setup for your AI applications
Guide data science teams to meet regulatory and risk controls
Visualize your compliance progress and AI risk position at once
Streamline compliance and audit reporting
AI Risk Management
- Identify Risks and minimize negative impacts on organization
- Map Risks to organizational priorities and taxonomies
- Deploy and track mitigation strategies and residual risks
Fairness, Transparency and Security
Explore our suite of algorithmic tools designed to tackle complex data science challenges such as bias assessment and mitigation
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Fairness
Ensure fairness in your AI models with our services, safeguarding against biases for equitable and just outcomes.
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Explainability & Interpretability
Explainability & Interpretability in AI models empower users to comprehend and trust the decision-making process.
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Transparency
Transparency in AI models builds trust by clearly revealing their workings and decisions to users.
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Security
Security in AI models protects data and processes, ensuring safe and reliable operations for users.
Deployments Options
Offering SaaS deployment for optimal flexibility, along with managed infrastructure, VPC, and on-premises options to meet more stringent requirements
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SaaS
The ideal choice for maximizing flexibility and capitalizing on marketplace billing systems. Recommended for both SMEs and large enterprises.
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VPC, On-Prem
For large enterprises with complex and demanding requirements offer the robustness, security, and customization needed to meet specific operational needs.
FAQ
1. Why do I need your solution?
As impending AI regulations loom, the development and operation of AI products and services become increasingly complex. A robust AI governance framework is essential to guide processes—such as Data Science and Responsible AI—in compliance with regulatory standards, thereby mitigating potential risks for organizations.
2. Are you a data governance platform?
No, we are a GRC (Governance, Risk, and Compliance) platform. Our focus is on bridging the gap between data science and governance, while also managing organizational risks. Additionally, we offer the capability to adhere to multiple frameworks simultaneously by capitalizing on shared controls.
3. Do I need to send you my data?
No, you don't. While our SaaS deployment is ideal for SMEs and Enterprises, we understand data sensitivity concerns, especially for large organizations. We offer on-prem or private cloud options to ensure no data exchange with our platform. Your data science teams can continue to operate in their existing development environments without ingesting datasets or models into our platform.
4. How can you claim EU AI Act adherence if it is not yet in force?
On June 14, 2023, the European Parliament overwhelmingly approved its stance on the Artificial Intelligence Act. This will guide upcoming negotiations with the EU Council and Commission (Trilogue). While we don't anticipate major text changes, the first negotiation on July 18 resolved most contentious issues, leaving only a few topics like real-time biometric tracking by security services.
5. What international standards is the Modulos Responsible AI Platform based on?
The Modulos Responsible AI platform is based on the developing ISO standards, specifically ISO/IEC 38507:2022 (Governance of IT - Governance implications of the use of artificial intelligence by organizations), ISO/IEC 23894:2023 (Artificial intelligence - Guidance on risk management), ISO/IEC FDIS 5338 (Artificial intelligence - AI system life cycle processes), ISO/IEC 24028:2020 (Artificial intelligence - Overview of trustworthiness in artificial intelligence), ISO/IEC TR 24027:2021 (Artificial intelligence - Bias in AI systems and AI aided decision making), and ISO/IEC TR 24368:2022 (Artificial intelligence - Overview of ethical and societal concerns). We help you build AI in line with these standards.
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