Home TechnologyRidge AI Emerges from Stealth with $2.6M Pre-Seed ...
Technology⭐ Featured

Ridge AI Emerges from Stealth with $2.6M Pre-Seed for AI-Native Analytics That Prove a Product Team’s Value in Hours

Ridge AI announced its emergence from stealth and a $2.6 million pre-seed funding round led by Madrona, with participation from TheFounderVC and a group of angels that includes founding leaders from Tableau, Trifacta, and Streamlit. Built on decades of data visualization research and open-source technology, the company enables B2B software companies to ship interactive, customer-facing […]

7 April 2026 at 08:33 am
1 views
Ridge AI Emerges from Stealth with $2.6M Pre-Seed for AI-Native Analytics That Prove a Product Team’s Value in Hours

Ridge AI, a startup focused on AI-native analytics, has emerged from stealth mode with a $2.6 million pre-seed funding round led by Madrona, a venture capital firm. The funding round also includes participation from TheFounderVC and a group of angel investors that includes founding leaders from Tableau, Trifacta, and Streamlit. This significant investment marks the beginning of Ridge AI's journey to transform the way B2B software companies develop and deploy interactive, customer-facing dashboards and AI data agents.

The company was founded by CEO Ellie Fields and Chief Scientist Jeff Heer, both of whom bring extensive experience in data visualization and product development. Fields spent over a decade at Tableau before serving as the Chief Product and Engineering Officer at Salesloft, where she firsthand experienced the challenges of proving product value to customers. Heer, a Professor of Computer Science at the University of Washington and co-director of the UW Interactive Data Lab, is known for his work on D3.js, Vega, and Mosaic, tools that have become foundational to modern data visualization. He also co-founded Trifacta, which was acquired by Alteryx in 2022.

The core problem Ridge AI aims to solve is the time-consuming and resource-intensive process of developing and deploying interactive analytics solutions. Existing tools are often slow to implement, costly to maintain, and still leave customers unable to answer their most pressing questions. Fields and Heer co-founded Ridge to address this gap, enabling B2B software companies to ship interactive, customer-facing dashboards and AI data agents in hours, not months.

"In my career as a product leader, I routinely experienced the problem where our team was creating real value for customers and had no good way to prove it," said Ellie Fields, CEO and Co-Founder of Ridge AI. "We would spend months building dashboards instead of focusing on what made us different. That's a terrible trade-off, and it's exactly what Ridge eliminates."

Ridge AI's technology is built on decades of data visualization research and open-source technology. The company's platform leverages Mosaic, an open-source framework for building highly interactive, browser-native analytics using DuckDB and WebAssembly. This foundation allows Ridge to deliver fast, efficient solutions that minimize the time and resources required to develop and deploy interactive analytics.

The company's pre-seed funding round highlights the growing demand for efficient, AI-native analytics solutions. With the rise of data-driven decision-making in businesses, the ability to quickly develop and deploy interactive analytics has become crucial for companies looking to stay competitive. Ridge AI's approach not only accelerates the development process but also ensures that companies can focus on their core competencies while leveraging powerful analytics tools.

As Ridge AI continues to refine its platform and expand its offerings, the startup's mission remains clear: to empower B2B software companies to deliver value to their customers more efficiently. With the backing of experienced investors and a talented team, Ridge AI is well-positioned to transform the analytics landscape and redefine the way businesses approach data-driven decision-making.

📰 Related News
Ekaya Banaras Founder Palak Shah’s ₹40 Lakh Billboard Mistake Became a Masterclass in Startup Marketing
Ekaya Banaras Founder Palak Shah’s ₹40 Lakh Billboard Mistake Became a Masterclass in Startup Marketing
Ekaya Banaras founder Palak Shah recently opened up about one of the most expensive mistakes she made while building her luxury textile brand. During the early years of the company, Shah rented a premium billboard near Delhi’s DLF Emporio to increase brand visibility. However, after forgetting to cancel the campaign, the hoarding reportedly continued running for months — resulting in losses of nearly ₹40 lakh. The incident has now become a viral example of how small operational oversights can turn into costly business lessons for startups and entrepreneurs.
28 May
Betting On AI: Jensen Huang And NVIDIA’s Rise To The Top
Betting On AI: Jensen Huang And NVIDIA’s Rise To The Top
Before AI was inevitable, it was a gamble—and Jensen Huang went all in.
14 Apr
Red Hat OpenShift sandboxed containers 1.12 and Red Hat build of Trustee 1.1 bring confidential computing to bare metal and AI workloads
Red Hat OpenShift sandboxed containers 1.12 and Red Hat build of Trustee 1.1 bring confidential computing to bare metal and AI workloads
Red Hat is excited to announce the release of Red Hat OpenShift sandboxed containers 1.12 and Red Hat build of Trustee 1.1, marking a major leap forward in our confidential computing journey. These releases graduate confidential containers on bare metal from …
14 Apr
Large AI firms hoovering maximum funding, not enough for smaller startups: Y Combinator’s Ankit Gupta
Large AI firms hoovering maximum funding, not enough for smaller startups: Y Combinator’s Ankit Gupta
YC Startup School: India’s talent pool across colleges and universities are key for building next-gen startups, which is what YC is looking to tap into. It wants to target entrepreneurs building for global markets, focussed on fintech, consumer, B2B, and ecom…
14 Apr
TSMC likely to book fourth straight quarter of record profit on insatiable AI demand
TSMC likely to book fourth straight quarter of record profit on insatiable AI demand
TSMC-RESULTS/ (PREVIEW, PIX):PREVIEW-TSMC likely to book fourth straight quarter of record profit on insatiable AI demand
14 Apr
TSMC likely to book fourth straight quarter of record profit on insatiable AI demand
TSMC likely to book fourth straight quarter of record profit on insatiable AI demand
Any profit result ‌above T$505.7 billion would mark the company's highest-ever quarterly net income ​and its ninth consecutive quarter of profit growth
14 Apr
TSMC likely to book fourth straight quarter of record profit on insatiable AI demand
TSMC likely to book fourth straight quarter of record profit on insatiable AI demand
On Thursday, ​TSMC is expected to report a net profit of $17.1 billion for the quarter, according to an LSEG SmartEstimate compiled from 19 analysts. The war in the Middle East threatens to disrupt the supply of production materials for semiconductors such as…
14 Apr
If we can’t kick the habit, how do we manage AI’s energy needs?
If we can’t kick the habit, how do we manage AI’s energy needs?
One can only hope that OpenAI’s Sam Altman was joking when he sought to justify the immense energy consumption of artificial intelligence
14 Apr
What caused Nvidia Blackwell GPU prices to spike? #tech
What caused Nvidia Blackwell GPU prices to spike? #tech
Blackwell GPU hourly “rent” surges on agentic AI demand A compute pricing index tracking hourly costs for Nvidia Blackwell GPUs shows a sharp climb: hourly rental hit $4.08 , up 48% from $2.75 just two months earlier. The reported driver is rising demand tied…
14 Apr
Anthropic Releases Claude Mythos Preview with Cybersecurity Capabilities but Withholds Public Access
Anthropic Releases Claude Mythos Preview with Cybersecurity Capabilities but Withholds Public Access
Anthropic has introduced Claude Mythos Preview, its most advanced AI model, improving significantly in reasoning, coding, and cybersecurity. Unlike previous releases, it will not be publicly available. Access is limited to a consortium of tech companies throu…
14 Apr