Coval is a simulation and evaluation platform that enables engineers to test AI agents in both voice and text modalities by generating thousands of test scenarios from a few input cases. This technology allows for precise performance tracking and root cause analysis, ensuring the reliability of AI assistants before deployment.
Funding
$3.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+2Founders
Product
Problem
Evaluating AI agent performance in voice and text modalities is often a manual, time-intensive process. Existing methods lack scalability, making it difficult to identify edge cases and ensure consistent reliability across diverse scenarios. This can lead to unpredictable behavior and hinder the deployment of robust AI assistants.
Solution
Coval offers a simulation and evaluation platform designed to automate the testing of AI agents in both voice and text. By generating thousands of test scenarios from a small set of input cases, Coval enables comprehensive performance tracking and root cause analysis. The platform supports AI-powered simulations, allowing users to create prompts and simulate environments to rigorously test agents from multiple angles. Coval provides detailed evaluations of agent interactions, tracking performance over time and enabling users to identify and address specific issues.
Target Audience
Coval is designed for AI developers and engineers building voice and chat agents who need a scalable, automated solution for testing and evaluating performance.
Features
- AI-powered simulation engine generates diverse test cases from limited inputs
- Supports both voice and text modalities for comprehensive agent testing
- Comprehensive evaluation metrics for tracking performance and identifying regressions
- Workflow metrics provide observability into agent decision-making processes
- Custom metric creation allows users to define specific evaluation criteria
- Integration with CI/CD pipelines enables automated testing with each code change
- Root cause analysis tools pinpoint the source of performance issues