Outset Secures $30 Million Series B to Launch the World’s First AI-Native Customer Experience Management Platform

Outset获得3000万美元B轮融资，推出全球首个AI原生客户体验管理平台

New Round Comes Just Six Months After Series A to Extend AI-Moderated Research Technology, Pioneered by Outset, Across the Entire Customer Journey

新一轮融资距离A轮融资仅六个月，旨在扩展Outset首创的AI审核研究技术，贯穿整个客户旅程。

SAN FRANCISCO, December 10, 2025-- Outset, the most advanced AI-moderated research platform delivering the scale and speed of a survey with the depth of a live interview, today announced a Series B funding round of $30 million, bringing total funding to $51 million. The round was led by Radical Ventures, with participation from M12, Microsoft’s Venture Fund, as well as previous investors Y Combinator, Adverb Ventures, and 8VC..

旧金山，2025年12月10日——Outset，最先进的由人工智能主持的研究平台，能够以调查的速度和规模提供深度访谈的详尽程度，今天宣布完成了3000万美元的B轮融资，总融资额达到5100万美元。本轮融资由Radical Ventures领投，M12（微软的风险基金）以及之前的投资者Y Combinator、Adverb Ventures和8VC也参与其中。

This new round, which comes just six months following the Series A, will both allow Outset to go even deeper on the foundation that brought the company to this moment and extend that expertise into a new category by launching the world’s first AI-native Customer Experience Management platform. This will take the research method they have pioneered beyond standalone studies and into every touchpoint of the customer journey, replacing static, multiple-choice feedback with contextual, real-time conversations that surface what customers need..

这一新一轮融资距离 A 轮融资仅六个月，它将使 Outset 不仅能够进一步深耕使其走到今天这一步的基础，还可以通过推出全球首个原生 AI 的客户体验管理平台，将其专业能力扩展到一个全新的领域。这会将他们开创的研究方法从单独的研究延伸到客户旅程的每个接触点，用情境化的实时对话取代静态的、多项选择式的反馈，从而揭示客户的需求。

For more than a decade, Customer Experience Management has been defined by platforms like Qualtrics and Medallia, which helped companies measure customer sentiment across touchpoints - often through NPS, CSAT, Customer Effort Scores, and other multiple-choice metrics. But these metrics have become increasingly limited in what they can reveal.

十多年来，客户体验管理一直由 Qualtrics 和 Medallia 等平台定义，这些平台帮助企业跨接触点衡量客户情绪——通常通过净推荐值 (NPS)、客户满意度 (CSAT)、客户努力度评分和其他多项选择指标。但这些指标在揭示信息方面的局限性日益显现。

Dashboards show what the score is, but rarely why it happened. Attempts to layer in qualitative insight have been slow, unscalable, or too superficial to inform product and experience decisions..

仪表板显示了得分情况，但很少解释为什么会这样。试图加入定性洞察的努力进展缓慢、难以扩展，或者过于肤浅，无法为产品和体验决策提供依据。

Outset replaces static forms with AI agents capable of holding real, human-like conversations with every customer. These agents probe naturally, uncover unexpected triggers of satisfaction or frustration, and adapt their questioning as the conversation evolves. They then synthesize the qualitative patterns and root causes that companies could never access through multiple-choice fields or generic comment boxes.

Outset用能够与每位客户进行真实、类人对话的AI代理取代了静态表单。这些代理自然地探询，揭示出满意度或挫败感的意外触发因素，并随着对话的发展调整提问方式。随后，它们综合分析那些公司通过多项选择字段或通用评论框永远无法获取的定性模式和根本原因。

This enables organizations to finally understand both the metric and its meaning, transforming CXM from a dashboard of scores into a continuous engine for insight, action, and improvement..

这使组织最终能够理解指标及其含义，将客户体验管理 (CXM) 从一个分数仪表盘转变为持续的洞察、行动和改进引擎。

The AI mirrors the nuance of human conversation while eliminating the bottlenecks that have constrained traditional research. This gives companies immediate access to authentic qualitative depth with the consistency and scale of modern AI, something that was never possible through manual, human-moderated interviewing..

人工智能在反映人类对话的细微差别的同时，消除了限制传统研究的瓶颈。这使得企业能够立即获得真实的定性深度，同时具备现代人工智能的一致性和规模，而这是通过人工主持的访谈永远无法实现的。

“Outset was built to bring the most powerful AI-moderated research technology to everyone and give more people and more companies the ability to truly understand their customers,” said Aaron Cannon, Co-founder & CEO of Outset. “Every organization should have a direct line to what people want at every step of the journey.

“Outset 的创立旨在将最强大的人工智能驱动研究技术带给每个人，让更多的人和企业能够真正了解他们的客户，”Outset 联合创始人兼首席执行官 Aaron Cannon 表示。“每个组织都应该在用户旅程的每一步都直接了解人们的需求。”

Research shouldn’t be reserved for teams with endless time or resources, and it shouldn’t take months to uncover insights that matter right now.”.

研究不应该只留给有无尽时间和资源的团队，也不应该花费数月时间来揭示当下重要的见解。

Outset’s platform is designed for research teams that need precision, control, and methodological rigor. With native support for more than 40 languages, companies can field global research instantly and capture authentic, in-language customer responses without the operational overhead of traditional international studies..

Outset的平台专为需要精确性、控制力和方法严谨性的研究团队设计。该平台原生支持超过40种语言，企业可以立即开展全球研究，并捕捉真实的、使用原始语言的客户反馈，而无需承担传统国际研究的运营负担。

“Outset is not just automating research; they are fundamentally rewriting the operating system for customer understanding,” said Richa Mehta, Radical Ventures, Partner. “Aaron, Michael, and the team at Outset have built a sophisticated AI architecture that captures deep human insight and preferences at scale, bringing the technical rigor and commercial traction to define this category.”.

“Outset 不仅仅是自动化研究；他们正在从根本上重写客户理解的操作系统，”Radical Ventures 合伙人 Richa Mehta 表示。“Aaron、Michael 和 Outset 团队构建了一个复杂的 AI 架构，能够大规模捕捉深刻的人类洞察和偏好，带来了定义这一类别的技术严谨性和商业吸引力。”

Outset’s momentum has accelerated significantly over the past year, supported by rapid adoption across technology, CPG, insights consulting, fintech, life sciences, and other sectors. The company has achieved 8x revenue growth in 2025 and now counts many of the world’s leading brands—including Microsoft, WeightWatchers, Away, Nestlé, HubSpot, Uber, and others as customers.

过去一年，Outset的势头显著增强，得到了技术、快消品、洞察咨询、金融科技、生命科学及其他领域的快速采用支持。该公司在2025年实现了8倍的收入增长，现在许多世界领先品牌已成为其客户，包括微软、WeightWatchers、Away、雀巢、HubSpot、优步等。

These organizations rely on Outset to produce rapid, in-depth insights that directly inform product decisions, brand strategy, and customer-experience improvements..

这些组织依靠Outset来产生快速、深入的洞察，直接为产品决策、品牌战略和客户体验改进提供依据。

“At M12, we look for teams and technologies that fundamentally reshape how enterprises operate, and Outset is a great example of that,” said James Wu, Partner at M12, Microsoft’s Venture Fund. “The shift from static, opaque dashboards to continuous, contextualized feedback loops is one of the most significant transformations happening across all functions.

“在M12，我们寻找能够从根本上重塑企业运营方式的团队和技术，而Outset正是一个很好的例子，”微软风险基金M12的合伙人詹姆斯·吴表示。“从静态、不透明的仪表盘转向持续、情境化的反馈循环，是各个领域中最重要的转变之一。”

We believe Outset is pioneering that future in research, and we’re proud to support their vision as they scale a category-defining platform.”.

我们相信Outset正在研究领域开创这一未来，我们很自豪能够支持他们的愿景，因为他们正在打造一个定义类别的平台。

As companies shift to continuous customer insight, this funding will accelerate Outset’s revenue growth, global expansion, and rollout of always-on discovery products, which make real-time qualitative understanding a standard for organizations everywhere.

随着企业转向持续的客户洞察，这笔资金将加速Outset的收入增长、全球扩张以及始终在线的探索产品的推出，使实时的定性理解成为各地组织的标准。

For more information, please visit www.outset.ai.

欲了解更多信息，请访问 www.outset.ai。

About Outset

关于Outset

Outset is the leader in AI-moderated research, empowering research and product teams to understand people with depth, speed, and global scale. Its platform delivers AI-moderated interviews, instant synthesis, built-in security and fraud detection, and live translation across more than 40 languages. Powering research teams at companies including Microsoft, Nestlé, Away, Uber, HubSpot, and Glassdoor, Outset is redefining how organizations gather and apply insight to build better products and customer experiences..

Outset 是人工智能辅助研究的领导者，帮助研究和产品团队深入、快速地了解全球范围内的人群。其平台提供人工智能主持的访谈、即时综合分析、内置的安全性和欺诈检测，以及支持40多种语言的实时翻译。Outset 为微软、雀巢、Away、优步、HubSpot 和 Glassdoor 等公司的研究团队提供支持，正在重新定义组织如何收集和应用洞察，以打造更优质的产品和客户体验。