ridgedata.aiCrawled Oct 24, 2026
How Ridge runs dashboards and data agents in the browser with DuckDB-WASM and Mosaic for fast, secure, low-cost embedded analytics.
Connect Ridge to Snowflake, Databricks, BigQuery, Iceberg, Fabric OneLake, S3 or R2, or upload a file. Step-by-step setup guides for each source.
Ridge builds customer-facing dashboards and data agents in days, not quarters. Fast, secure, browser-based analytics you can embed in your SaaS product.
The page showcases live Ridge dashboards paired with AI data agents, covering topics like EV adoption, sales, product adoption, AI models, and Olympic athletes.
The page demonstrates how AI agents generate data sets, using Seattle parks as an example, and explains how to verify and present the results.
Build Agent v2 asks better questions, plans the dashboard before it builds, checks the result and adds undo and redo. Here is what changed and why.
The Ridge Explore Agent now responds to dashboard filters and selections. Linked interactivity gives users AI chat answers with dashboard-level control.
Ridge allows users to create dashboards from screenshots or sketches and deploy them across platforms, including those built in Ridge, Claude, or legacy BI tools.
The page aggregates news coverage of Ridge AI, including launch announcements, funding details, podcasts, product reviews, and press about its AI-native embedded analytics platform.
Careers at Ridge AI: help build AI-native embedded analytics with a small, high-ownership team in Seattle.
Embedded analytics priced per Ridge, not per seat. Plans from $80/month, plus a 30-day free trial. Compare the Studio, Solo, Standard and Enterprise plans.
Why not just vibe code your analytics with Claude Code? Where it works, where it breaks (deployment, security, upkeep) and when Ridge is the better fit.
The page introduces the Ridge AI team, led by Ellie Fields and Jeff Heer, highlighting their expertise in data visualization, AI, and analytics.
Ridge AI's mission is to help anyone understand, share and act on data, with a new human-data interface built for the AI era.
Answers about Ridge: how it compares to Tableau and Looker, pricing, data agents, embedding, partitioning, data connections and security.
The page provides video tutorials on building Ridge dashboards, preparing data with the Transform Agent, and embedding dashboards and data agents into products.
Ridge AI enables the creation of interactive dashboards and AI data agents for embedding in products, allowing customers to experience delivered value.
The page describes how Ridge AI collects, uses, and protects personal information on its website and platform.
The third-party subprocessors Ridge AI uses to provide its embedded analytics service.
The page details Ridge AI’s Data Processing Addendum, explaining how personal data is processed on behalf of customers.
The page outlines the terms governing access to and use of the Ridge AI website and its content.