Description
Coval is a leading platform designed for the comprehensive evaluation of AI voice and chat agents. It empowers teams to scale their voice AI deployments with confidence by identifying and addressing millions of potential edge cases, both before launch and during ongoing operation. The platform focuses on finding critical signals within the vast amount of data generated by AI agents, such as latency issues, escalation triggers, audio glitches, agent response failures, and compliance breaches.
Read More
Trusted by teams deploying voice AI to millions of customers, Coval enables scaling with confidence from the initial prompt to the millionth call. It provides a standardized way to benchmark agent performance across different vendors using the same metrics, ensuring fair comparison. The platform allows users to stress-test thousands of realistic scenarios, providing assurance that their agents are ready for production. Furthermore, Coval facilitates real-time monitoring of production calls, surfacing regressions before they impact customers.
Coval's evaluation process is sharpened through a combination of AI analysis and human review. Smart sampling routes identified failures to human reviewers, whose feedback is then used to retrain the AI judge, creating a continuous quality loop. This loop spans every stage of the voice AI lifecycle, from simulation to observation and review.
Key capabilities include simulating thousands of realistic conversations before launch, observing production calls in real-time to catch failures instantly, and sharpening the evaluation system with human-in-the-loop feedback. Coval offers full visibility across all critical aspects of agent performance. The platform has demonstrated significant improvements, such as 0% improvement on agent accuracy in 7 days, running 0.1 million evaluation metrics weekly, and achieving first simulation via CLI in under 15 minutes.
Coval offers solutions tailored for different needs, including agent platforms seeking proof of readiness for their customers, in-house teams looking to future-proof their stack, and organizations needing to test specific agent behaviors like identity verification, escalation, hallucination, and handling frustrated callers. It is also ideal for vendor bakeoffs, allowing for direct comparison of different voice AI platforms on the same scenarios. Built for enterprise, Coval is trusted across regulated industries, offering robust security and compliance features like SOC 2 Type II, GDPR, and HIPAA adherence.
- CategoryAI Voice Agents
- Pricing ModelContact sales
- DeploymentCloud
- PlatformsWeb
Coval AI Evaluation's Core Features
AI agent simulation for pre-launch testing
Real-time production call monitoring
AI-powered failure detection and analysis
Human-in-the-loop review for AI retraining
Performance benchmarking across AI agents
Stress-testing with realistic scenarios
Identification of latency and escalation issues
Monitoring for audio glitches and agent response failures
Sentiment and identity verification analysis
Compliance failure detection
Continuous quality loop for AI agents
SOC 2 Type II compliance
GDPR data processing
HIPAA data handling
How to use Coval AI Evaluation?
Configure: Set up your AI agent and define evaluation parameters.
Simulate: Run thousands of realistic conversations before launch.
Observe: Monitor production calls in real-time for immediate issue detection.
Review: Utilize AI verdicts with one-click human override for feedback.
Optimize: Retrain AI judges with human feedback to improve agent performance.
Deploy: Scale voice AI agents with confidence based on rigorous evaluation.
Coval AI Evaluation's Use Cases
- Pre-launch Agent Testing
- Production Monitoring
- AI Performance Benchmarking
- Continuous Improvement Loop
- Vendor Selection
- Compliance Assurance
- Edge Case Identification
