AI Governance, Simplified and Automated
Your All-in-One Hub for AI Assessment, Risk, and Compliance.
85%
of enterprises foresee a rise in AI and predictive analytics adoption
84%
of enterprises predict AI model audits will become mandatory soon
85%
84%
of enterprises foresee a rise in AI and predictive analytics adoption
of enterprises predict AI model audits will become mandatory soon
Navigating the Future with Confidence
Lumenova AI provides a robust framework for enterprise-scale AI governance. Discover how our platform ensures your AI advancements are both pioneering and compliant.
See product benefitsComprehensive AI Evaluation and Assessment
Gain deep insights into your AI models and identify potential risks
- Quantitative and qualitative tests
- Extensive evaluation of AI risk verticals
- Policy repository for compliance checks
- Comprehensive assessment for informed decision-making
Proactive AI Risk Management Solutions
Mitigate risks and ensure compliance with confidence
- Regulatory and industry framework integration
- Data, model, and framework monitoring
- Configurable testing templates for risk evaluation
- Model alerts and warnings for timely action
- Risk assessment and quantification for risk management
Simplified AI Compliance Management
Stay compliant with AI regulations effortlessly
- Up-to-date compliance with regulations and standards
- Detect and track AI risks for 360-degree visibility
- Bridge the gap between technical metrics and business insights
- Align tech teams and business executives for better decisions
- Strengthen AI risk culture for responsible AI practices
Platform capabilities
Harness the capabilities of Lumenova AI to mitigate risks and ensure compliance in your AI operations.
Risk & Compliance Frameworks
- Regulatory and proprietary industry frameworks
- Policy repository
- Risk Management Module enabling risk assessment and quantification
Evaluation Engine
- Extensive library of qualitative and quantitative tests
- Integrated configurable testing templates
- Comprehensive evaluation based on various AI risk categories
Monitoring & Improvement Platform
- Data, model, and framework monitoring
- Model alerts and warnings
Risk & Compliance Frameworks
Evaluation Engine
Monitoring & Improvement Platform
- Regulatory and proprietary industry frameworks
- Extensive library of qualitative and quantitative tests
- Data, model, and framework monitoring
- Policy repository
- Integrated configurable testing templates
- Model alerts and warnings
- Risk Management Module enabling risk assessment and quantification
- Comprehensive evaluation based on various AI risk categories
Optimized Collaboration among Stakeholders
Effective collaboration across various departments and levels within an organization.
AI SENTINELS
Risk Team
Legal & Compliance Team
Head of Privacy
AI ARCHITECTS
Data Science Team
Machine Learning Engineers
Analysts
AI ORCHESTRATORS
Technical C-Suite
VP or Head of AI
Head of Data Governance
AI SENTINELS
AI ARCHITECTS
AI ORCHESTRATORS
Risk Team
Data Science Team
Technical C-Suite
Legal & Compliance Team
Machine Learning Engineers
VP or Head of AI
Head of Privacy
Analysts
Head of Data Governance
Case Study: How a Retail Bank Can Safely Leverage Generative AI with Lumenova AI
As a retail bank handling sensitive customer data, effective AI governance is crucial. AI can introduce benefits to enhance customisation for clients.
However, risks exist, and any effective AI implementation warrants mitigation against data leaks and unintentional biases.
Lumenova AI can help with:
- Private LLM risk assessments
- Centralized AI management & monitoring
- Automated compliance documentation
- Transparent AI output tracking
- Human oversight & impact assessments
As seen on
The Responsible AI blog
Get the latest news and insights about Responsible AI and its transformative impact on today’s business landscape.
November 28, 2024
California AI Regulation: Additional Updates
California AI Regulation: From transparency (AB 2013) to accountability (AB 2885) and AI literacy (AB 2876), explore key insights and impacts. Read more!
November 26, 2024
Making Generative AI Models Work: Cost Management in GenAI
Machine Learning models: Explore strategies to manage costs, from cloud optimization to scaling, ensuring innovation aligns with sustainable budgeting!