Coval has raised $28 million in Series A financing to expand its platform for testing, monitoring and evaluating autonomous voice agents, positioning the company to capitalize on growing enterprise adoption of voice AI technologies.
The round was led by Norwest and included participation from Base10 Partners, Twilio Ventures and Y Combinator. The investment brings total funding since the company’s 2024 launch to $31 million.
Based in San Francisco, Coval develops infrastructure designed to help enterprises deploy voice and chat AI systems with greater reliability, observability and compliance oversight. As organizations increasingly adopt autonomous voice agents for customer service, sales, healthcare and financial services applications, the company is targeting one of the sector’s most pressing challenges: ensuring AI-powered conversations perform consistently in production environments.
The new capital will be used to expand Coval’s sales and solutions engineering teams while accelerating product development. Planned investments include enhanced simulation capabilities, deeper integrations with voice AI ecosystems, and expanded human review and monitoring features.
“Every company is going to have a voice agent just like they have a mobile app or a web app,” said Brooke Hopkins, founder and CEO of Coval. “Coval gives teams the ability to simulate, monitor and continuously improve voice agents, so they can move from experimentation to reliable production at scale.”
The financing comes amid rapid growth in the broader voice AI market. Industry investment in voice AI surpassed $7 billion during the first quarter of 2026 alone, according to the company, as enterprises increasingly look to automate customer interactions through conversational AI systems.
While adoption has accelerated, many organizations continue to rely on manual quality assurance processes that were designed for traditional software environments rather than autonomous systems capable of handling millions of conversations. Coval’s platform is designed to address that gap through simulation, monitoring and evaluation tools that allow businesses to test AI agents before deployment and continuously assess performance after launch.
The company’s technology draws on principles commonly used in autonomous vehicle development. Hopkins previously led evaluation job infrastructure at Waymo, where simulation and testing frameworks played a central role in validating self-driving systems before deployment. Coval applies a similar methodology to voice AI, treating conversational agents as autonomous systems that must be tested across a wide range of scenarios before interacting with customers.
“Voice is going to be the number one interface for how humans interact with AI, and that shift creates an entirely new infrastructure layer for enterprises,” said Scott Beechuk, partner at Norwest. He noted that Hopkins’ background in autonomous systems provides a foundation for building reliability standards in an emerging category.
Unlike many AI evaluation platforms that primarily serve engineering teams, Coval is designed to support collaboration across operations, quality assurance, product and engineering organizations. Its platform covers the full lifecycle of voice AI deployment, including pre-production simulation, live monitoring, structured evaluation and human review.
The company’s architecture is built specifically for voice applications, incorporating capabilities such as audio quality analysis, telephony latency monitoring, transcription accuracy measurement and workflow evaluation. These features are intended to help organizations identify edge cases and performance issues before they affect end users.
Coval says its platform currently runs tens of millions of evaluations and helps customers automate testing processes that would otherwise require significant manual effort. The company reports that customers have reduced manual quality assurance workloads by as much as 30 times while accelerating voice agent deployment timelines by up to 10 times.
More than 60 organizations use the platform, including Zoom and Deepgram. Both companies cited the growing importance of reliability and observability as voice AI systems move into customer-facing production environments.
“Reliability and observability are a top priority for us at Zoom as voice AI moves into customer-facing production environments,” said Ram Rajagopalan, Head of Product for CX AI at Zoom.
The investment also highlights increasing demand for infrastructure providers that support enterprise AI deployments rather than building end-user applications. As voice AI adoption expands, businesses are seeking tools that can help manage risk, improve performance and maintain trust in systems that increasingly handle customer interactions autonomously.
With fresh capital and a growing customer base, Coval is positioning itself as a foundational infrastructure provider for the voice AI ecosystem, aiming to establish the testing and evaluation standards enterprises will require as conversational AI becomes a larger part of customer engagement and business operations.