Standards-based approach to AI ethics governance and policy coherence. From contextual analysis to implementation oversight.
From initial assessment to continuous oversight through structured methodology
Institutional access credentials
AI system context and parameters
Evaluation against 49 international standards
Detailed assessment with recommendations
Ongoing monitoring and evaluation
Step 1 of 5
Secure API authentication for government and organizational deployment with institutional-grade security protocols.
Behind every API call: sophisticated analysis across multiple compliance layers
Our API analyzes your AI system specifications, including model type, data sources, and deployment context.
Maps your system against 47 international standards and regulations across 6 key dimensions.
Advanced rule-based engine calculates quantifiable scores for each compliance dimension.
Generates comprehensive reports with actionable recommendations and regulatory insights.
Comprehensive evaluation across all critical areas of AI ethics and compliance
Evaluates data quality, bias detection, lineage tracking, and data management practices
Assesses model explainability, documentation quality, and algorithmic transparency
Reviews human-in-the-loop mechanisms, decision authority, and oversight processes
Analyzes cybersecurity measures, data protection protocols, and system robustness
Ensures accessibility, prevents discrimination, and promotes equitable AI access
Protects individual autonomy, prevents harmful impacts, and ensures human rights
Articles 13-15, 16, 53-55
Articles 22, 25, 35
Goals 9, 10, 16
ISO 27001, 23053, 23894
Production-ready infrastructure designed for enterprise scale and reliability
High-performance entry point with rate limiting, authentication, and load balancing
Rule-based compliance evaluation engine with weighted algorithms
Regulatory database with 47+ international standards and frameworks
Enterprise-grade security with encryption and compliance monitoring