
Coval helps engineering teams deploy reliable AI assistants by automating simulation and evaluation for chat, voice, and other multimodal agents. The platform runs large-scale simulated interactions…

Coval helps engineering teams deploy reliable AI assistants by automating simulation and evaluation for chat, voice, and other multimodal agents. The platform runs large-scale simulated interactions…
Product: Simulation, automated testing, and observability for conversational AI (voice and chat) agents
Founded: 2024
Headquarters: San Francisco
Funding (reported): $3.3M seed (Jan 2025) plus a $125K YC disbursement (Aug 2024) reported
Founder & CEO: Brooke Hopkins
Reliability, testing, and observability for conversational AI agents (multimodal: voice and chat).
2024
Data and Analytics
$125,000
Reported as an early YC-associated disbursement
$3,300,000
Reported seed close with participation from multiple investors
“MaC Venture Capital led reported seed; participation from Y Combinator, General Catalyst, Fortitude Ventures and others”
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THE ROLE Every voice AI pipeline has at least three models (transcription, LLMs, voice activity detection, text-to-speech), and they're all non-deterministic, all changing constantly, all need to work together. Evaluating that at scale is a distributed systems problem from day one.
We're already ingesting millions of calls per month and simulating hundreds of thousands of interactions. Our evaluation infrastructure gates releases and monitors production deployments for leading AI companies across healthcare, finance, and customer support. When we go down, customers feel it immediately.
You'll Own Core Pieces Of This Infrastructure
Senior at Coval doesn't mean years of experience or where you were before. It means you can take an ambiguous problem, break it into small achievable steps, and balance short-term speed with long-term foundations.
What We're Looking For
What You'll Work With You'll work across our Python backend and cloud infrastructure (AWS), with modern observability tooling, containerized deployments, and infrastructure-as-code. We invest in the right tools and practices to keep production-grade systems reliable.
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