# Coval Raises $28M Series A to Expand Voice AI Evaluation

**Author:** Zero G Talent
**Published:** 2026-11-09
**Category:** sales
**Tags:** yc-hiring, voice ai, ai evaluation, software engineering, machine learning, developer tools

[Read on Zero G Talent](https://zerogtalent.com/blog/coval-raises-28m-series-a-to-expand-voice-ai-evaluation)

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[Coval](https://zerogtalent.com/ai-companies/coval), an evaluation and simulation platform for autonomous voice and chat agents, raised a $28 million Series A funding round led by Norwest, with participation from Base10 Partners, Twilio Ventures, and Y Combinator. As reported by [PR Newswire](https://www.prnewswire.com/news-releases/coval-raises-28-million-series-a-to-define-safety-and-reliability-for-autonomous-voice-agents-302808740.html), the financing brings the company's total capital raised to $31 million since its founding in 2024, following an earlier $3.3 million seed round led by MaC Venture Capital with General Catalyst.

Founded by [Brooke Hopkins](https://zerogtalent.com/people/brooke-hopkins), who previously led evaluation infrastructure at Waymo, Coval builds software that lets enterprises simulate, observe, label, and test conversational AI before and after deploying it into production. The platform is designed to replace manual call reviews with automated LLM judges, synthetic audio tests, and structured feedback loops.

## Bringing Autonomous Vehicle Testing Rigor to Voice

At Waymo, Hopkins oversaw the developer tools and database systems used to simulate millions of driving miles to evaluate safety. In an interview with [TechCrunch](https://techcrunch.com/2025/01/23/coval-evaluates-ai-voice-and-chat-agents-like-self-driving-cars/), Hopkins noted that voice agents face the same non-deterministic challenges as autonomous driving systems. Both operate as closed loops that must perceive input, plan an action, and execute a response in real time.

In an interview with [AiThority](https://aithority.com/interviews/aithority-interview-with-brooke-hopkins-founder-of-coval/), Hopkins outlined production voice agents as six interdependent layers: telephony, speech-to-text, LLM reasoning, text-to-speech, orchestration, and evaluation. While most engineering teams dedicate their resources to the first five components, failure modes in production often stem from unpredictable caller behavior, background noise, interruptions, or latency.

Coval allows teams to initiate simulations by passing a phone number into its platform. From there, users can test whether an agent adheres to workflows, tracks required conversational steps, or handles edge cases. The software runs voice-to-voice simulations featuring variable accents, tempos, and ambient audio conditions to shift quality assurance earlier in the development lifecycle.

## Closing the Compliance Gap at Upstart

The practical application of Coval's infrastructure was detailed in a discussion reported by [finance.biggo.com](https://finance.biggo.com/podcast/36ddfaa29a286760) between Hopkins and Shiv Indap, who leads voice AI at fintech lender Upstart. Upstart automated loan applicant verification calls using voice agents handling thousands of interactions daily. Because loan verification requires strict regulatory adherence—such as forbidding agents from asking specific loan amounts when applicants mention medical expenses—every call carries compliance liability.

Upstart initially audited calls using an ad-hoc spreadsheet that expanded from five columns to fifteen before becoming unmanageable. Furthermore, human reviewers and automated LLM judges agreed on call compliance only 33% of the time. By adopting Coval's structured evaluation loops, Upstart standardized reviewer criteria, encoded missing business rules into the agent, and iteratively aligned the automated judge against human review queues. Over time, compliance agreement between human reviewers and the LLM judge rose from 33% to 92%.

According to [SiliconANGLE](https://siliconangle.com/2026/06/24/coval-raises-28m-enterprises-push-voice-agents-production/), more than 60 organizations have integrated Coval into their evaluation workflows, including Zoom and Deepgram. The company reports that its customers have cut manual quality assurance time by up to 30 times while increasing deployment speeds tenfold.

## Expanding the Technical and Post-Sale Teams

With fresh Series A funding, Coval is growing its San Francisco-based team across platform engineering, post-training, deployment operations, and enterprise sales. All listed roles are full-time and onsite in San Francisco, California.

On the core technical side, the company is hiring a [Senior Platform Engineer](https://zerogtalent.com/ai-jobs/coval/senior-platform-engineer-118973) ($150,000 to $300,000) to own distributed pipelines, queues, orchestration systems, data layers, and compute cost controls, alongside building execution engines and LoRA training environments. Coval is also recruiting an [AI Engineer, Post-Training & Evaluation](https://zerogtalent.com/ai-jobs/coval/ai-engineer-post-training-evaluation-118972) ($150,000 to $300,000) to design LLM-as-a-judge scoring frameworks, run post-training experiments with LoRA adapters on open-weight models, and manage structured outputs and context engineering.

To bridge customer engineering with product development, Coval has opened a role for a [Solutions Engineer](https://zerogtalent.com/ai-jobs/coval/solutions-engineer-116078) ($180,000 to $250,000). This engineer will run discovery calls, deliver technical proofs of concept, and integrate Coval's APIs and SDKs directly into customer stacks.

Post-signature operations are expanding under a [Head of Deployments](https://zerogtalent.com/ai-jobs/coval/head-of-deployments-119420) ($180,000 to $250,000), who will manage forward-deployed engineers and deployment strategists while overseeing customer progression from contract signing to production rollout. Working within that unit, a [Deployment Strategist](https://zerogtalent.com/ai-jobs/coval/deployment-strategist-110904) ($150,000 to $250,000) will embed with customers, design user personas, build structured test suites, and identify expansion opportunities across enterprise accounts.

In go-to-market, Coval is hiring a [Product Marketer](https://zerogtalent.com/ai-jobs/coval/product-marketer-119421) ($150,000 to $200,000) to shape technical positioning, documentation, newsletters, and collateral aimed at engineering, product, and QA leaders. Commercial pipeline expansion is also supported by an [Account Executive](https://zerogtalent.com/ai-jobs/coval/account-executive-92828) ($110,000 to $350,000) to lead full-cycle enterprise sales reporting to the CEO, and a [Business Development Representative](https://zerogtalent.com/ai-jobs/coval/business-development-representative-115250) ($100,000 to $140,000) to establish outbound prospecting playbooks across companies deploying customer-facing voice agents.

## Open Positions at Coval

| Role | Location | Work Mode | Salary |
| --- | --- | --- | --- |
| [Product Marketer](https://zerogtalent.com/ai-jobs/coval/product-marketer-119421) | San Francisco, CA, US | Onsite | $150,000 – $200,000 |
| [Head of Deployments](https://zerogtalent.com/ai-jobs/coval/head-of-deployments-119420) | San Francisco, CA, US | Onsite | $180,000 – $250,000 |
| [Senior Platform Engineer](https://zerogtalent.com/ai-jobs/coval/senior-platform-engineer-118973) | San Francisco, CA, US | Onsite | $150,000 – $300,000 |
| [AI Engineer, Post-Training & Evaluation](https://zerogtalent.com/ai-jobs/coval/ai-engineer-post-training-evaluation-118972) | San Francisco, CA, US | Onsite | $150,000 – $300,000 |
| [Solutions Engineer](https://zerogtalent.com/ai-jobs/coval/solutions-engineer-116078) | San Francisco, CA, US | Onsite | $180,000 – $250,000 |
| [Business Development Representative](https://zerogtalent.com/ai-jobs/coval/business-development-representative-115250) | San Francisco, CA, US | Onsite | $100,000 – $140,000 |
| [Deployment Strategist](https://zerogtalent.com/ai-jobs/coval/deployment-strategist-110904) | San Francisco, CA, US | Onsite | $150,000 – $250,000 |
| [Account Executive](https://zerogtalent.com/ai-jobs/coval/account-executive-92828) | San Francisco, CA, US | Onsite | $110,000 – $350,000 |

[See all open roles at Coval](https://zerogtalent.com/ai-companies/coval)

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*Source: [Zero G Talent](https://zerogtalent.com), the job board for space, defense, AI, robotics and frontier-tech companies.*