Coval
Simulation and evaluation platform for enterprise voice and chat AI agents.
About
Coval is a simulation, observability, and labeling platform built to test voice and chat AI agents before and after deployment. Founded in 2024 by former Waymo engineer Brooke Hopkins, it applies autonomous-vehicle-grade simulation discipline to conversational AI, letting teams run complex scenarios like background noise, interruptions, and conflicting user inputs without relying on manual QA.
The platform covers the full voice agent lifecycle: pre-deployment simulation, live production monitoring, human review, and structured evaluation. It is purpose-built for voice with audio processing, telephony latency measurement, transcription error analysis, and agent workflow evaluation. Coval raised a $28M Series A in June 2026 led by Norwest, bringing total funding to $31M, and reports tens of millions of evaluations per month for customers including Zoom and Deepgram.
What it can do
- Pre-deployment voice agent simulation
- Live production monitoring
- Human review workflows
- Transcription error analysis
- Telephony latency measurement
Setup
Sign up on the Coval platform and connect your voice or chat agent for simulation runs.
Prerequisites
An AI voice or chat agent to test; enterprise sales engagement for full platform access.
Use cases
Works with
Trust score — 9/10
Scored 9/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 84; Trending score 88/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.