Ridge AI

Ridge AI, founded in 2026 by CEO Ellie Fields and Chief Scientist Jeff Heer, emerged from stealth with a $2.6 million pre-seed funding round led by Madrona, with participation from TheFounderVC and angel investors including leaders from Tableau, Trifacta, and Streamlit.

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Enables B2B software companies to deploy interactive, customer-facing dashboards and AI data agents quickly.

Ridge AI, founded in 2026 by CEO Ellie Fields and Chief Scientist Jeff Heer, emerged from stealth with a $2.6 million pre-seed funding round led by Madrona, with participation from TheFounderVC and angel investors including leaders from Tableau, Trifacta, and Streamlit. Fields, a former Chief Product and Engineering Officer at Salesloft, and Heer, a Professor of Computer Science at the University of Washington and co-creator of D3.js and Vega, identified a critical gap in the market: the inability of product teams to quickly and effectively demonstrate value to customers. Ridge AI addresses this by enabling B2B software companies to deploy interactive, customer-facing dashboards and AI data agents in hours, not months.

The company leverages WebAssembly and the Mosaic framework to process data natively in the browser, delivering sub-second interactivity on large datasets without requiring costly cloud infrastructure. Ridge AI's architecture combines large language models, WebAssembly, and Mosaic to provide a seamless experience for users, allowing them to ask follow-up questions in natural language and receive immediate answers. The company's SOC 2 Type 1 certification underscores its commitment to security, with a Type 2 audit in progress. Ridge AI's focus on embedded analytics positions it as a key player in the SaaS ecosystem, helping companies prove their value quickly and efficiently.

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Who buys this

  • B2B software companies
  • SaaS providers
  • Product teams
  • Data-driven enterprises

Strengths and what to watch

Strengths

  • Sub-second interactivity on large datasets
  • SOC 2 Type 1 certified with Type 2 audit in progress
  • Combines large language models, WebAssembly, and Mosaic framework

Watch for

  • Competition from established analytics platforms
  • Dependence on WebAssembly and Mosaic framework
  • Potential challenges in scaling with increasing customer demand

Key Information

Founded
2026

Frequently Asked Questions

What does Ridge AI do?

Ridge AI helps B2B software companies deploy interactive, customer-facing dashboards and AI data agents quickly. Founded in 2026, it focuses on enabling product teams to demonstrate value efficiently, leveraging WebAssembly and Mosaic for sub-second interactivity on large datasets.

Who founded Ridge AI?

Ridge AI was founded in 2026 by Ellie Fields, former Chief Product and Engineering Officer at Salesloft, and Jeff Heer, a Professor of Computer Science at the University of Washington and co-creator of D3.js and Vega.

What technology does Ridge AI use?

Ridge AI combines large language models, WebAssembly, and the Mosaic framework to process data natively in the browser. This enables sub-second interactivity on large datasets without relying on costly cloud infrastructure.

Is Ridge AI secure?

Yes, Ridge AI is SOC 2 Type 1 certified, with a Type 2 audit in progress. This certification highlights its commitment to security and data protection for its customers.

Who uses Ridge AI?

Ridge AI primarily serves B2B software companies, SaaS providers, product teams, and data-driven enterprises. Its solutions help these organizations quickly demonstrate value through interactive dashboards and AI data agents.

What makes Ridge AI unique?

Ridge AI stands out by enabling B2B software companies to deploy customer-facing dashboards and AI data agents in hours, not months. Its use of WebAssembly and Mosaic ensures sub-second interactivity on large datasets, enhancing customer value demonstration.

Sources

  1. www.businesswire.com — Ridge AI's emergence from stealth and $2.6 million pre-seed funding
  2. www.ridgedata.ai — Ridge AI's focus on embedded analytics and SOC 2 Type 1 certification
  3. www.prnewswire.com — Context on AI adoption and its impact on productivity
  4. www.prnewswire.com — Context on AI-driven filings and their impact on operational efficiency