内容来源：https://www.geekwire.com/2026/data-visualization-all-stars-unveil-ridge-ai-with-2-6m-to-fix-the-analytics-problem-for-saas-apps/

内容总结：

【西雅图AI创企Ridge AI获260万美元融资，革新嵌入式数据分析体验】

由数据可视化领域资深专家创立的西雅图初创公司Ridge AI近日正式走出隐匿模式，宣布完成260万美元的预种子轮融资。本轮融资由玛德罗纳风险投资公司领投，多位数据分析与人工智能领域的知名天使投资人跟投。

公司联合创始人兼CEO艾莉·菲尔兹曾任Tableau产品开发高级副总裁超12年，首席科学家杰弗里·希尔则是华盛顿大学教授，其研发的Vega、D3.js等开源工具已成为业界可视化标准。二人指出，当前网络数据呈现与分析体验仍存在显著短板，而SaaS企业在向客户证明产品价值时尤其面临"数据可见性"挑战。

Ridge AI的核心解决方案是通过浏览器端技术，帮助软件公司在数小时内构建可嵌入产品的交互式分析面板与智能数据助手。该平台采用希尔教授开发的Mosaic开源框架，结合浏览器内数据库DuckDB，实现即时交互响应，且无需为每次交互支付云端计算成本。借助AI代理，产品经理可用业务语言直接描述需求，自动生成可视化方案。

领投方玛德罗纳的董事总经理蒂姆·波特与风险合伙人、Tableau前CEO马克·尼尔森指出，现有方案往往让SaaS企业陷入两难：要么采用Tableau等重型商业智能平台，要么投入资源自建系统，而Ridge AI首次提供了专为此场景设计的嵌入式解决方案。

目前该公司正聚焦服务SaaS企业，已启动封闭测试并开放申请。菲尔兹表示，团队计划至少在未来两年深耕该细分市场，解决传统方案响应慢、成本高、维护难的痛点。

中文翻译：

埃莉·菲尔兹和杰弗里·希尔深谙数据可视化之道：菲尔兹曾在Tableau担任产品与营销负责人超过12年，希尔则是华盛顿大学教授，其开源工具被广泛应用于网络可视化领域。

然而，即便他们与同行不断推动技术进步，仍不得不面对一个相似的结论：网络数据呈现与分析体系本质上仍存在缺陷。

他们的解决方案是Ridge AI——这家西雅图初创公司运用人工智能与浏览器技术，帮助软件公司在数小时内（而非数日或数月）构建并部署交互式仪表板与数据智能体，将其直接嵌入产品供客户使用。该公司将其核心产品称为"山脊"：即共享同一数据集的仪表板与数据智能体，用户既能从仪表板获取可视化全景，又能通过智能体进行深度追问。

融资动态：Ridge AI于本周一结束隐匿模式，获得由Madrona领投的260万美元预种子轮融资。这家西雅图风投公司的投资由董事总经理蒂姆·波特与风险合伙人、Tableau前CEO马克·尼尔森主导。本轮融资还吸引了数据分析与人工智能领域的明星天使投资人阵容：Tableau联合创始人兼前CTO克里斯·斯托尔特；Turi联合创始人、斯坦福人工智能实验室主任卡洛斯·格斯特林；Streamlit创始人阿德里安·特雷伊；Tableau前CMO艾丽莎·芬克；Cloudera创始人杰夫·哈默巴赫尔等。

目标市场：虽然其技术具备广泛适用性，Ridge AI初期将专注服务软件即服务（SaaS）公司，帮助它们向产品用户呈现丰富交互式数据分析。菲尔兹在采访中指出，当SaaS公司面临客户续约时，这种需求尤为迫切——即使产品实际成效显著，若决策者无法从数据中直观感知，交易仍可能面临风险。

"首席财务官总会追问：这产品到底有没有人在用？"菲尔兹表示，这正是Ridge AI技术能为SaaS企业创造显著价值的场景之一。在所谓"SaaS行业寒冬"中，企业纷纷整合软件支出，定制化AI编程应用的兴起更令许多公司质疑现有工具是否值得保留，证明产品价值的压力空前加剧。

破解之道：Madrona的尼尔森以Concur公司CTO经历为例，指出当时基于IBM Cognos构建的分析产品虽能让客户洞察员工差旅支出，但对公司而言维护艰难且非核心专长——这至今仍是众多SaaS企业的痛点。菲尔兹强调，现有方案无论是Tableau、Power BI等重量级商业智能平台、专业嵌入式分析工具还是自建系统，都非针对该痛点的专属解决方案。

创始团队：Ridge AI由担任CEO的菲尔兹与首席科学家希尔联合创立，希尔在参与公司运营的同时将继续保留华盛顿大学教授职务。团队还包括Tableau前工程师、创始工程师安迪·凯利，以及拥有哈佛博士学位、在数据可视化领域发表20余篇论文的创始研究工程师弗里茨·莱克沙斯。

尼尔森与波特促成了两位创始人的合作：尼尔森早年在Tableau与菲尔兹共事，又因学术合作与希尔保持联系；波特则与菲尔兹同为斯坦福商学院校友。"在紧密相连的西雅图科技圈，杰夫与埃莉的组合堪称典范，再没有比他们更令我欣赏和信赖的搭档了。"尼尔森如此评价。

希尔曾联合创立数据转换公司Trifacta（2022年被Alteryx收购），其学术团队开发了Vega(-Lite)、D3.js等数据可视化领域最广泛应用的开源工具，以及构成Ridge AI技术基石的Mosaic框架。菲尔兹作为Tableau首位产品市场专家，历经公司上市及被Salesforce收购，12年间晋升至产品开发高级副总裁，后任SalesLoft首席产品与工程官，亲历了Ridge AI正致力破解的难题。

技术特性：Ridge运行于用户网页浏览器而非远程服务器，依托希尔的开源Mosaic框架与DuckDB浏览器内数据库。该架构实现近乎即时的交互响应，且嵌入该技术的软件公司无需为每次仪表板交互支付云计算成本。在创建端，AI智能体负责可视化设计，产品经理仅需用业务语言描述需求，无需掌握专业工具。

未来规划：菲尔兹表示Ridge AI计划聚焦SaaS细分市场至少两年再扩展版图，指出该领域长期存在服务缺口。公司已与少数试点客户展开合作，现正邀请更多企业参与封闭测试，申请通道已通过ridgedata.ai开放。

英文来源：

Ellie Fields and Jeffrey Heer know data visualization from the inside: Fields spent more than 12 years as a product and marketing leader at Tableau, and Heer is the University of Washington professor whose open-source tools are widely used for web-based visualization.
But even as they and their colleagues pushed the field forward, they couldn’t escape a similar conclusion: presenting and analyzing data on the web is basically still broken.
Their solution: Ridge AI, a Seattle-based startup that uses AI and browser-based technology to help software companies build and deploy interactive dashboards and data agents in hours instead of days or months, embedding them directly in their products for use by their customers.
The company calls its core product a “ridge” — a dashboard and a data agent that share a common data set, letting users get visual context from the dashboard and ask follow-up questions through the agent.
Funding: Ridge AI is emerging from stealth Monday with $2.6 million in pre-seed funding led by Madrona. The Seattle venture capital firm’s investment was spearheaded by Managing Director Tim Porter and Venture Partner Mark Nelson, the former CEO of Tableau.
Joining in the funding is a roster of angel investors that reads like a who’s who of analytics, AI and data: Chris Stolte, Tableau co-founder and former CTO; Carlos Guestrin, co-founder of Turi and director of Stanford’s AI Lab; Adrien Treuille, founder of Streamlit; Elissa Fink, former Tableau CMO; and Jeff Hammerbacher, Cloudera founder, among others.
Target market: Although their technology could be applied broadly, Ridge AI is focusing specifically at the outset on serving software as a service (SaaS) companies, giving them a way to present rich, interactive analytics to the people and businesses that use their products.
In an interview, Fields said the need is especially acute when a SaaS company is trying to renew a customer’s contract. The product might be delivering real results, but if the people making the buying decision can’t see that in the data, the deal can be at risk.
“The CFO is going to be asking, is anyone even using this?” Fields said, calling it one of the use cases where Ridge AI’s technology could be of significant value to SaaS firms.
The pressure to prove this value has intensified amid the “SaaS-pocalypse,” as it’s known — as companies consolidate their software spending and the rise of custom AI-coded apps makes many of them question whether existing tools are worth keeping.
What they’re solving: Madrona’s Nelson said he experienced the larger problem during his time as CTO of Concur, where the company built an analytics product on top of IBM Cognos, giving customers the ability to glean insights into employee travel and spending.
It was important to the business, he said, but it was a pain to maintain, and it wasn’t in Concur’s core skillset. The problem persists for many SaaS companies to this day.
SaaS companies have historically had to choose between heavyweight business intelligence platforms like Tableau and Power BI, specialty embedded analytics tools, or building their own. Fields said none of those options was purpose-built for the problem Ridge is solving.
Founders: Ridge AI was co-founded by Fields, who serves as CEO, and Heer, chief scientist, who will continue as a UW professor in addition to working on the company.
Also on the team: Andy Caley, a founding engineer who previously worked at Tableau, and Fritz Lekschas, a founding research engineer with a Ph.D. from Harvard and more than 20 publications in data visualization.
Fields and Heer were introduced by Madrona’s Nelson and Porter. Nelson had known Fields since she worked for him at Tableau and he had separately kept in touch with Heer through his UW work. Porter, meanwhile, had gone to Stanford Business School with Fields.
“I can’t think of two people I like more, and would bet on more, than Jeff and Ellie,” Nelson said, describing the pairing as an example of what’s possible in Seattle’s tight-knit tech community.
Heer previously co-founded Trifacta, a data transformation company acquired by Alteryx in 2022. He and his academic collaborators have produced some of the most widely used open-source tools in data visualization, including Vega(-Lite), D3.js, and the Mosaic framework that serves as Ridge AI’s technical foundation.
Fields joined Tableau as its first product marketer and rose to senior vice president of product development over more than 12 years, spanning the company’s IPO and its acquisition by Salesforce. She went on to serve as chief product and engineering officer at SalesLoft, where she experienced firsthand the problem Ridge is now trying to solve.
Technology: Ridge runs in the user’s web browser rather than on a remote server, using Heer’s open-source Mosaic framework and an in-browser database called DuckDB. That architecture delivers near-instant interactivity and means the software company that embeds it doesn’t pay for cloud computing costs with every dashboard interaction.
On the creation side, AI agents handle the visualization design, so product managers can describe what they want in business terms rather than learning a specialized tool.
What’s next: Fields said Ridge AI plans to focus on its SaaS wedge for at least a couple of years before expanding, noting that the market has historically been under-served.
The company has been working with a small number of pilot customers, and is now inviting additional companies into a closed beta, accepting applications at ridgedata.ai.