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    AI simulation and evaluation platform for voice and chat agents.

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    About Coval

    Coval: Simulation and Evaluation for Voice and Chat AI Agents

    Coval is an advanced platform designed to automate the simulation, evaluation, and monitoring of conversational AI agents, including both voice and chatbots. Built by experts in autonomous testing and leveraging experience from self-driving technology at Waymo, Coval enables teams to rigorously test, optimize, and deploy reliable AI agents faster and with greater confidence.

    Key Features

    • AI-Powered Simulations:
      Simulate thousands of real-world scenarios from just a few test cases. Coval chats with your agent to generate diverse test cases, covering edge cases and unexpected user behaviors.

    • Voice and Chat Compatibility:
      Test agents through both text and voice channels, including phone calls, with customizable voices and environments for realistic evaluation.

    • Customizable Scenario Testing:
      Use scenario prompts, transcripts, workflows, or audio inputs to simulate conversations and stress-test agent responses.

    • Automated Evaluations:
      Launch evaluations using built-in or custom metrics such as latency, accuracy, tool-call effectiveness, and instruction compliance.

    • Regression Tracking:
      Compare results over time with transcripts, audio replays, and prompt changes. Set up alerts for performance drops or off-path behaviors.

    • Production Monitoring:
      Log and evaluate all production calls, monitor live agent performance, and receive instant alerts for threshold breaches or anomalies.

    • Human-in-the-Loop Labeling:
      Incorporate human review and labeling for nuanced performance analysis and continuous improvement.

    • Developer-First Design:
      Seamless integrations and intuitive workflows help teams focus on shipping reliable agents, not manual testing.

    Use Cases

    • Automated regression and scenario testing for voice and chat AI agents

    • Pre-deployment validation and stress-testing of conversational workflows

    • Ongoing production monitoring and performance analytics

    • Rapid iteration and optimization of customer-facing AI agents

    • Ensuring compliance, reliability, and customer satisfaction in automated interactions

    Model Selection

    • Scenario-Based Simulation:
      Generate and run custom or auto-generated scenarios for comprehensive agent evaluation.

    • Metric-Driven Evaluation:
      Use built-in or custom metrics to align agent performance with business goals.

    • Production Observability:
      Monitor real-world calls and conversations, with instant feedback and alerting.

    Getting Started

    Coval brings proven, autonomous testing expertise to conversational AI, empowering teams to deliver robust, reliable, and production-ready voice and chat agents with speed and confidence.