Janus
A comprehensive AI testing platform designed to evaluate and enhance AI agent performance through simulated scenarios and detailed analysis.
About Janus
Janus is an advanced AI testing platform that rigorously evaluates AI agents through thousands of simulated interactions. It identifies critical issues such as hallucinations, policy violations, and tool call failures, providing custom evaluations, tailored datasets, and actionable insights. This ensures your AI models are reliable, safe, and perform optimally in real-world scenarios.
How to Use
Create custom AI user groups to interact with your AI agents. Janus runs extensive simulations to detect performance issues, including hallucinations and rule violations, and delivers clear, actionable recommendations. Schedule a demo to see how the platform can enhance your AI development process.
Features
- Real-Time API and Function Call Monitoring: Quickly identifies failed API and function calls to improve system reliability.
- Human-Like Interaction Simulation: Tests AI agents with realistic, human-inspired interactions.
- Insightful Performance Reports: Offers actionable recommendations to optimize AI agent effectiveness.
- Policy Violation Detection: Automatically flags instances where AI agents breach custom rules or policies.
- Custom Datasets and Evaluations: Generates realistic data for benchmarking and testing AI performance.
- Hallucination Identification: Detects fabricated content and measures hallucination frequency.
- Fuzzy Evaluation of Sensitive Outputs: Audits risky, biased, or sensitive responses with nuanced analysis.
Use Cases
- Detecting and reducing hallucinations, policy violations, and tool failures in AI agents.
- Benchmarking AI performance with realistic, custom evaluation data.
- Pre-deployment auditing of AI outputs for bias, sensitivity, and compliance.
- Testing AI chat and voice agents for robustness and reliability in real-world scenarios.
Best For
Pros
- Enables large-scale testing with thousands of simulated interactions.
- Delivers detailed insights to continuously improve AI models.
- Supports custom evaluations and personalized datasets for targeted testing.
- Uses human-like simulations for realistic performance assessment.
- Thoroughly tests for hallucinations, rule violations, tool errors, and bias.
Cons
- Pricing details are available upon request, not publicly listed.
- Requires setup and integration for customized user simulations and evaluations.