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Verax — LLM Observability Tool

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What is Verax?

Verax is an AI control platform designed for enterprise LLM management in production environments. It analyzes user interactions and LLM behavior patterns, detects hallucinations and biases in real-time, and prevents sensitive data leakage between users and AI systems to help IT leaders, data science teams, and innovation managers maintain reliable AI implementations while mitigating operational risks.

What sets Verax apart?

Verax sets itself apart with contextual analysis that understands the meaning and intent behind every LLM interaction, rather than relying on simple keyword detection or pattern matching. This deeper analytical approach proves beneficial for compliance officers and data governance teams who must navigate complex regulatory requirements where context determines whether information sharing violates policies. Verax delivers proactive oversight that identifies and addresses risks before they impact business operations.

Verax Use Cases

  • LLM behavior monitoring
  • Hallucination detection
  • Data leak prevention
  • AI risk mitigation
  • Production LLM control

Who uses Verax?

Features and Benefits

  • Feature icon LLM Behavior Analysis
    Analyze real-time LLM behavior across all responses to detect gaps and understand how your AI systems perform in production environments.
  • Feature icon Automatic Issue Detection
    Identify hallucinations, inaccuracies, and biased responses in real-time before they reach end-users through continuous monitoring of LLM outputs.
  • Feature icon User Interaction Insights
    Gain visibility into user query patterns and topics to improve LLM performance in the areas with highest impact and value.
  • Feature icon Data Leakage Prevention
    Protect sensitive information with bi-directional monitoring that prevents unauthorized data from flowing to or from LLM systems.
  • Feature icon Real-Time Response Correction
    Fix problematic LLM responses automatically while they're in flight, ensuring only high-quality information reaches users.
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