BlueJay

Bluejay: End-to-End Testing for AI Voice Agents with Real-World Simulations

Bluejay is an automated quality assurance platform that delivers end-to-end testing for AI voice agents through real-world simulations. Bluejay stress-tests agents using over 500 variables—including different voices, accents, languages, environments, and behaviors—automatically tailored to actual customer data to ensure agents are robust, safe, and reliable before deployment.

Key Features

• Automated Real-World Simulations:
  Runs diverse, auto-generated scenarios such as order placement, appointment scheduling, refunds, claims, and security tests, without manual setup.

• A/B Testing and Red Teaming:
  Compares agent performance, uncovers hidden vulnerabilities, and stress-tests for edge cases and adversarial behaviors.

• Multilingual and Accent Coverage:
  Tests agents in multiple languages and with various global accents and background noise to ensure broad reliability.

• Technical and Qualitative Insights:
  Tracks metrics like latency, accuracy, hallucination rate, and agent speaking time, while providing answers to product questions such as user pain points.

• Seamless Team Notifications:
  Sends daily performance updates and insights directly to Slack, Teams, or other collaboration tools.

• Continuous System Observability:
  Offers real-time dashboards for monitoring success rates, transfer rates, and other key performance indicators.

• Automated Improvement Loop:
  Combines technical evaluations with human insights, making agents measurable, improvable, and explainable.

Use Cases

• AI teams deploying or maintaining voice agents in production

• Organizations requiring robust, automated QA for conversational AI systems

• Developers seeking to identify and resolve edge cases, security issues, or language coverage gaps

Getting Started

• Website: getbluejay.ai

• How to Start: Visit the website to learn more or request a demo of Bluejay’s automated testing and simulation platform for AI voice agents.

Bluejay enables teams to engineer trust and reliability into every AI voice interaction by automating comprehensive, real-world testing and continuous performance monitoring.