Janus

Janus is an advanced AI platform designed to battle-test and improve AI agents. It conducts thousands of AI simulations against chat and voice agents to surface critical failures such as hallucinations (fabricated content), rule violations (policy breaches), and tool-call/performance failures. Janus offers custom evaluations, personalized datasets, and actionable insights to help users detect and mitigate risky agent behavior, ensuring model reliability and performance.

How to Use

Users can generate custom populations of AI users to interact with their AI agents. Janus then runs thousands of simulations to identify performance issues, detect specific failures like hallucinations or rule violations, and provide clear, actionable guidance for improvement. Users can also book a demo to see the platform in action.

Key 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.