内容来源：https://aibusiness.com/agentic-ai/voicerun-startup-full-stack-voice-ai-platform

内容总结：

语音AI平台VoiceRun完成550万美元种子轮融资，瞄准企业级可靠性与合规需求

由谷歌云赞助的生成式AI应用探索专题指出，企业引入AI技术应优先关注提升信息交互体验的领域。在此趋势下，语音AI开发平台VoiceRun近日宣布完成550万美元种子轮融资，本轮由Flybridge Capital Partners领投，RRE Ventures与Link Ventures跟投。资金将用于加速语音AI技术研发与市场推广。

随着AI智能体在各行业渗透率持续上升，企业对AI系统的透明度、可靠性与合规治理提出更高要求。VoiceRun定位为满足此类企业级需求的语言智能体开发平台，其宣称采用“代码优先”和前瞻性工程模型，在保障开发效率的同时强化系统可追溯性。

平台为客户提供语音识别、大语言模型与语音合成的编排层工具，并支持实时监测与迭代优化，而应用层代码所有权归属企业自身。VoiceRun首席执行官Nick Leonard强调，该设计赋予企业代码自主权、部署灵活性与深度可观测性，助力企业“快速推进、通过安全审查并实现规模化生产落地”。

部署灵活性亦是其核心差异点。平台支持公有云、客户私有云及本地化部署，以适配不同行业的数据驻留与合规要求。目前，VoiceRun已聚焦餐饮、保险、银行及电信领域的语音应用落地，早期案例涵盖电话订餐、客服中心分流及销售线索筛选等场景。

据行业预测，到2025年底85%的企业将采用AI智能体。VoiceRun早期客户Tivly首席运营官Chad Jaquays在案例中表示：“该平台在数周内帮助我们实现从零到生产环境的部署，其工具能清晰指引每周优化方向，持续提升准确率与客户满意度。”

当前，语音AI技术正迎来关键发展期，但许多企业项目在从演示阶段转向可靠生产部署过程中仍面临阻力。VoiceRun本轮融资将重点投入基础设施建设，旨在推动企业级语音系统向规模化、高稳健性方向演进。

中文翻译：

由谷歌云赞助
选择首个生成式AI应用场景
要启动生成式AI项目，首先应关注能够优化人类信息交互体验的领域。

这家初创企业将其AI智能体开发平台定位为符合日益提升的透明度和可靠性标准。

语音智能体开发平台VoiceRun已完成550万美元的种子轮融资。该平台支持开发者自主创建语音智能体。本轮融资由Flybridge Capital Partners领投，RRE Ventures和Link Ventures跟投。资金将用于拓展公司语音AI技术并加速产品上市进程。

随着AI智能体在各行业应用日益广泛，VoiceRun致力于提供满足企业更高可靠性及合规性标准的语音智能体。为应对日益严格的安全性与责任要求，VoiceRun表示采用代码优先的开发模式和"前向部署"工程架构，在保障透明度的同时支持快速开发。

客户拥有其应用层代码的所有权，而VoiceRun提供语音转文本、大语言模型及文本转语音的编排层技术，并配备实时监测、迭代优化系统的工具套件。

VoiceRun首席执行官尼克·伦纳德在新闻稿中表示，公司赋予企业代码所有权、部署灵活性和深度可观测能力，使其能够"快速推进、通过安全审查、规模化部署生产级解决方案"。他指出："语音AI正迎来爆发期，但许多企业项目常停留在惊艳演示与可靠生产部署之间的断层。本轮种子资金将加速我们构建基础设施，使企业语音系统具备可扩展性与持久性。"

该公司强调的另一关键优势是部署灵活性。VoiceRun支持公有云环境、客户虚拟私有云及本地化部署，帮助企业满足数据驻留与合规要求。

此消息发布之际，AI智能体正持续获得企业青睐，预计到2025年底将有85%的企业采用AI智能体。该初创公司重点瞄准餐饮、保险、银行和电信领域的语音AI应用，早期客户部署场景包括电话订餐预约、联络中心分级诊疗和潜在客户筛选。

Tivly公司首席运营官兼联合创始人查德·贾奎斯在新闻稿中表示："VoiceRun让我们在数周内实现从零到生产部署。其工具能清晰展示每周改进方向，推动准确率和客户满意度持续提升。"

英文来源：

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The startup positions its AI agent development platform as meeting rising transparency and reliability standards.
VoiceRun, a platform that allows developers to create their own voice agents, has closed its seed funding round with $5.5 million.
The round was led by Flybridge Capital Partners, with participation from RRE Ventures and Link Ventures. The investment will be used to expand the company's voice AI technology and accelerate its time-to-market.
VoiceRun positions itself as providing voice agents that meet the growing reliability and governance standards expected of enterprises as AI agents see rising uptake across industries.
To meet these tightening safety and accountability requirements, VoiceRun said it uses a code-first approach and "forward-deployed" engineering models that support rapid development while maintaining transparency.
Customers own their application-layer code, while VoiceRun provides the orchestration layer for speech-to-text, large language models and text-to-speech, along with the tooling to continuously measure, iterate and improve systems in real time.
Nick Leonard, VoiceRun's CEO, said in a press release that the company gives businesses code ownership, deployment flexibility and deep observability so they can "move fast, clear security reviews, and deliver production-ready solutions at scale."
"Voice AI is having a moment, yet many enterprise projects stall between an impressive demo and a dependable production rollout," he said in the release. "This seed round accelerates our work on the infrastructure that makes enterprise voice systems scalable and durable."
Another key differentiator, according to the company, is deployment flexibility. VoiceRun supports public cloud environments, customer virtual private clouds and on-premises deployments, allowing enterprises to meet data residency and compliance requirements.
The news comes as AI agents see a consistent upswing amongst businesses, with 85% of enterprises estimated to have used AI agents by the end of 2025.
In particular, the startup is targeting voice AI uptake in restaurants, insurance, banking and telecommunications, with early customer rollouts including phone ordering and reservations, contact center triage and lead qualification.
"VoiceRun took us from zero to production deployment in weeks," Chad Jaquays, COO and co-founder at Tivly, said in the release. "Their tooling shows us exactly what to improve each week, so accuracy and customer satisfaction keep climbing."