Ex-Waymo engineer secures $28M from Norwest to bring autonomous vehicle testing to voice AI — TFN

Earlier than beginning her firm, Brooke Hopkins labored on techniques that helped self-driving vehicles function safely on public roads. At Waymo, her crew ran hundreds of thousands of simulated miles for each code change, since failures after launch weren’t an choice for autonomous autos. She noticed that related requirements would quickly be wanted for AI voice brokers, despite the fact that few individuals observed this development again then.

At present, Hopkins’ startup Coval raised $28 million in a Sequence A spherical led by Norwest, with Base10 Partners, Twilio Ventures, and Y Combinator additionally investing. This brings Coval’s whole funding to $31 million because it launched in 2024.

“Each firm goes to have a voice agent identical to they’ve a cellular app or an online app. However at present, most enterprises don’t have the infrastructure to deploy these techniques with confidence,” Hopkins says.

More than $7 billion was invested in voice AI within the first quarter of 2026, and the market might develop to over $20 billion by 2031. Firms are rapidly including voice brokers to customer support, healthcare, and monetary companies.

Nonetheless, most depend on handbook testing, by which engineers assessment name transcripts, search for issues, and hope their fixes work. This methodology doesn’t scale nicely.

Making use of Waymo’s testing strategies to cellphone calls

At Waymo, Hopkins led the crew that constructed analysis techniques. They developed instruments to run simulations on distributed computer systems, which helped Waymo launch vehicles on public roads. After she left, Hopkins talked to AI agent groups and located they confronted related issues: too many attainable inputs, no dependable solution to check, and severe penalties when issues went flawed.

Coval, based in 2024 by way of Y Combinator and based mostly in San Francisco, runs tens of hundreds of thousands of simulated exams for voice brokers. The platform checks for points corresponding to accents, interruptions, background noise, and strange conditions earlier than actual customers are affected.

After launch, Coval continues to observe brokers and robotically sends failed calls again into testing. For instance, a monetary companies firm can simulate 1000’s of callers who give conflicting info or grasp up unexpectedly earlier than the agent talks to actual clients.

The startup says its platform can scale back handbook high quality checks by as much as 30x and pace up deployment by as much as 10x.

Coval’s important opponents are Hamming, which handles regulatory edge instances for healthcare and monetary companies, and Roark, a YC W25 graduate that has processed over 10 million minutes of calls and specialises in replaying failed conversations with up to date agent logic.

Whereas these firms deal with sure areas, Coval gives an entire resolution. It presents pre-deployment simulation, dwell monitoring, and human assessment, all constructed particularly for voice audio slightly than tailored from common language mannequin instruments.

Zoom and Deepgram already use Coval

Coval works with Deepgram, Zoom, and greater than 60 different firms. Endorsements from Deepgram and Zoom stand out as a result of each have intensive expertise with voice AI failures.

“Reliability and observability are a high precedence for us at Zoom as voice AI strikes into customer-facing manufacturing environments. Coval offers Zoom’s clients the flexibility to guage conversations systematically at scale, determine edge instances earlier than they affect customers, and transfer considerably quicker with confidence,” says Ram Rajagopalan, head of product for CX AI, Zoom.

Deepgram, which gives voice AI infrastructure to different firms, makes use of Coval to check its merchandise earlier than they launch.

“Voice brokers introduce a brand new stage of complexity in comparison with conventional software program testing. Brooke has constructed Coval right into a core a part of the fashionable enterprise analysis stack by bettering reliability previous to scaled deployment. For any severe enterprise deployment, that is not a nice-to-have,” provides Anoop Dawar, COO, Deepgram.

The traders and what’s forward

Norwest, which has invested in firms like Gong, Vuori, and Spiff, which is now a part of Salesforce, led the funding spherical. Scott Beechuk, a associate at Norwest, stated they invested due to Hopkins’ expertise at Waymo.

“Along with her deep expertise constructing analysis techniques for autonomous applied sciences at Waymo, Brooke is uniquely positioned to steer Coval in defining how firms deploy and scale voice brokers reliably. She helped show self-driving vehicles might work, and now she’s tackling voice AI,” notes Beechuk.

Twilio Ventures is concerned in additional than simply funding. Its enterprise clients, who use its voice infrastructure, are a pure match for Coval’s analysis platform. Twilio needs to ensure these deployments are profitable.

“Belief is important to scaling these experiences. Our funding in Coval displays our conviction that complete analysis and testing instruments, mixed with a robust observability and reliability layer, are foundational to sustaining momentum in at present’s voice AI renaissance,” says Andy O’Dower, VP and subject CTO, Twilio

Coval plans to make use of the brand new funding to develop its gross sales and options engineering groups and enhance its product by including deeper simulations, new integrations, and higher human assessment and monitoring. The corporate says its income has grown ten occasions yr over yr, however it has not shared its ARR or present headcount targets.

A giant query for the trade is whether or not voice AI analysis will keep unbiased or develop into a part of the platforms it helps. Twilio’s option to spend money on Coval, slightly than construct its personal software, exhibits that not less than one platform prefers to maintain analysis separate.