A governance layer that sits above foundation models, not a wrapper
User requests • External data sources • API calls • Multi-modal inputs (text, voice, image) • Enterprise system integrations
Auditable AI responses • Explainable decisions • Enterprise-deployable outputs • Compliance-ready documentation • Multi-stakeholder transparency
Governance infrastructure that operates independently of any specific foundation model. Architecture-level innovation, not prompt-level optimization.
Constitutional constraints enforced at the infrastructure level. Requests are validated against organizational policies before reaching foundation models, ensuring compliance without post-processing.
Real-time monitoring of AI outputs for fairness, representation, and unintended discrimination. Multi-dimensional bias analysis across protected categories with configurable sensitivity thresholds.
Complete traceability of all AI decisions, inputs, reasoning paths, and human interventions. Immutable audit trails that support regulatory compliance and forensic analysis.
Automated detection of edge cases, ambiguous scenarios, and high-stakes decisions. Intelligent routing to appropriate human reviewers with full context and recommendation transparency.
Explore working demos that showcase the Constitutional AI architecture across different enterprise use cases.