Janus

Core features

• ✦Hallucination Detection: Identifies fabricated content and measures hallucination frequency.
• ✦Rule Violation Detection: Catches policy breaks by detecting when an agent violates custom rule sets.
• ✦Tool Error Surface: Spots failed API and function calls instantly to improve reliability.
• ✦Soft Evals: Audits risky, biased, or sensitive outputs with fuzzy evaluations.
• ✦Personalized Datasets & Custom Evals: Generates realistic evaluation data for benchmarking AI agent performance.
• ✦Insights: Provides actionable guidance to boost agent performance with every evaluation run.
• ✦Human Simulation: Tests AI agents with human-like interactions.

Use cases

• →Testing and evaluating AI chat/voice agents for performance and reliability.
• →Benchmarking AI agent performance using realistic evaluation data.
• →Identifying and mitigating AI hallucinations, policy breaches, and tool failures.
• →Auditing AI agent outputs for bias or sensitivity before reaching users.

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