Coval Scores $28 Million Series A

<p><strong><span class&equals;"legendSpanClass">SAN FRANCISCO<&sol;span> <&sol;strong>&&num;8212&semi; <a href&equals;"https&colon;&sol;&sol;edge&period;prnewswire&period;com&sol;c&sol;link&sol;&quest;t&equals;0&amp&semi;l&equals;en&amp&semi;o&equals;4718444-1&amp&semi;h&equals;2495692221&amp&semi;u&equals;http&percnt;3A&percnt;2F&percnt;2Fwww&period;coval&period;ai&percnt;2F&amp&semi;a&equals;Coval" target&equals;"&lowbar;blank" rel&equals;"nofollow noopener">Coval<&sol;a>&comma; an evaluation platform for voice AI&comma; has reeled in a &dollar;28 million Series A round of financing led by Norwest with participation from Base10 Partners&comma; Twilio Ventures and Y Combinator&period; This brings the total capital raised to &dollar;31 million since its launch in 2024&period;<&sol;p>&NewLine;<p>Coval is the leading simulation&comma; observability and labelling platform for AI voice and chat agents that allows enterprises to scale voice and chat AI agents&period; As Fortune 500 companies look to deploy voice AI and explore how it can change the paradigm for their businesses&comma; Coval gives them the infrastructure to do it reliably and with confidence&period; The new funding will enable Coval to address the growing reliability and compliance challenges enterprises face as they deploy autonomous voice agents&period; Coval runs tens of millions of evaluations&comma; and with this new capital&comma; the company will expand its sales and solutions engineering teams to scale and meet this growing demand&period; Coval will also advance product capabilities including deeper simulation&comma; new integrations&comma; and enhanced human review and monitoring features&period;<&sol;p>&NewLine;<p>&&num;8220&semi;Every company is going to have a voice agent just like they have a mobile app or a web app&period; But today&comma; most enterprises don&&num;8217&semi;t have the infrastructure to deploy these systems with confidence&comma;&&num;8221&semi; said Brooke Hopkins&comma; founder and CEO of Coval&period; &&num;8220&semi;Coval gives teams the ability to simulate&comma; monitor and continuously improve voice agents&comma; so they can move from experimentation to reliable production at scale&period;&&num;8221&semi;<b><&sol;b><&sol;p>&NewLine;<p>The voice recognition market is growing rapidly&comma; with more than <a href&equals;"https&colon;&sol;&sol;edge&period;prnewswire&period;com&sol;c&sol;link&sol;&quest;t&equals;0&amp&semi;l&equals;en&amp&semi;o&equals;4718444-1&amp&semi;h&equals;2568454264&amp&semi;u&equals;https&percnt;3A&percnt;2F&percnt;2Fwww&period;newcomer&period;co&percnt;2Fp&percnt;2Fvoice-ai-investment-surges-as-enterprise&amp&semi;a&equals;&percnt;247&plus;billion&plus;invested&plus;in&plus;voice&plus;AI&plus;in&plus;the&plus;first&plus;quarter" target&equals;"&lowbar;blank" rel&equals;"nofollow noopener">&dollar;7 billion invested in voice AI in the first quarter<&sol;a> of 2026 alone and expectations that it will reach more than <a href&equals;"https&colon;&sol;&sol;edge&period;prnewswire&period;com&sol;c&sol;link&sol;&quest;t&equals;0&amp&semi;l&equals;en&amp&semi;o&equals;4718444-1&amp&semi;h&equals;825947224&amp&semi;u&equals;https&percnt;3A&percnt;2F&percnt;2Fwww&period;mordorintelligence&period;com&percnt;2Findustry-reports&percnt;2Fvoice-recognition-market&amp&semi;a&equals;&percnt;2420&plus;billion&plus;by&plus;2031" target&equals;"&lowbar;blank" rel&equals;"nofollow noopener">&dollar;20 billion by 2031<&sol;a>&period;<&sol;p>&NewLine;<p>Enterprises are rapidly adopting voice AI for customer service&comma; sales&comma; financial services and healthcare&comma; but most still rely on manual QA processes that break under real‑world complexity and scale&period; Coval&&num;8217&semi;s platform empowers enterprises with a comprehensive testing and monitoring infrastructure for voice AI&period;<&sol;p>&NewLine;<p>&&num;8220&semi;Voice is going to be the number one interface for how humans interact with AI&comma; and that shift creates an entirely new infrastructure layer for enterprises&comma;&&num;8221&semi; said Scott Beechuk&comma; partner at Norwest&period; &&num;8220&semi;With her deep experience building evaluation systems for autonomous technologies at Waymo&comma; Brooke is uniquely positioned to lead Coval in defining how companies deploy and scale voice agents reliably&period; She helped prove self-driving cars could work&comma; and now she&&num;8217&semi;s tackling voice AI&period;&&num;8221&semi;<&sol;p>&NewLine;<p>Unlike other evaluation tools that are built for developers&comma; Coval is built to help teams across operations&comma; QA&comma; engineering and product collaborate and scale autonomous agents&period; Coval offers a full‑stack platform spanning the entire voice agent lifecycle&comma; from pre‑deployment simulation and live production monitoring to human review and structured evaluation&period; Its architecture is purpose‑built for voice&comma; audio processing and quality analysis&comma; telephony latency&comma; transcription error analysis and evaluation of agent workflows&period; The company&&num;8217&semi;s autonomous‑systems roots also set it apart&comma; applying the simulation‑first discipline Hopkins developed at Waymo to bring production‑grade rigor to voice AI&period; Similar to self-driving cars&comma; voice agents navigate the world autonomously by running models in parallel to listen &lpar;transcription&rpar;&comma; reason &lpar;LLMs&rpar; and speak &lpar;text-to-speech&rpar; in the same way that self-driving cars use perception&comma; planning and controls to navigate the world&period; Testing between the two systems have similar parallels &&num;8211&semi; simulation is critical for testing voice AI applications&period;<&sol;p>&NewLine;