Protect your AI applications with comprehensive source governance, hallucination detection, and citation verification
Traditional RAG systems face critical security and quality issues
AI models generate false or misleading information not grounded in source data
Lack of proper source validation leads to contaminated knowledge bases
Broken references and incorrect attributions undermine trust and compliance
Comprehensive protection for your RAG pipeline
Validate and manage data sources with automated quality checks, reputation scoring, and provenance tracking
Advanced ML models detect and flag generated content that deviates from source material with real-time alerts
Ensure every claim is properly attributed with automated citation validation, link checking, and comprehensive audit trails
Seamless integration into your RAG pipeline
Sources are validated and scored before entering your knowledge base
Generated responses are analyzed for hallucinations and citation accuracy
Issues are flagged instantly with detailed reports and recommended actions
Measurable impact on your AI operations
Reduction in hallucinations
Faster compliance audits
Citation accuracy rate
Average latency overhead
Join leading enterprises in building trustworthy AI applications
No credit card required • 14-day free trial • Enterprise support available