Ridge AI is delivering AI-native embedded analytics you can build in minutes, not months. We’re announcing our closed beta and $2.6 million in funding, led by Madrona, to support our mission to make data on the web beautiful and useful for everyone.
Ridge AI Raises $2.6M in Pre-Seed Funding As founders, we care deeply about this problem. Jeff has contributed to foundational libraries in data visualization, including D3 and Vega-Lite. His most recent work on Ridge and the underlying open-source Mosaic architecture extends this work and brings it into the age of AI. Ellie’s decade-plus at Tableau and later as a Chief Product Officer of a SaaS company meant she felt the pain of building in-product analytics. We’re creating a better way.
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Ridge AI If you’re a builder, you’ve lived this moment: you’re in a customer meeting. Adoption is growing, metrics are strong, your value proposition is proving out. The problem is, your customer’s CFO can’t see that. And they’re the ones approving your renewal or expansion.
You need a way to tell your customer’s story right inside your product. Tie their adoption to outcomes. Let them see the value and explore wins and gaps.
Dashboards take months to deliver using scarce engineering and design resources, IF you already have the skills and team to build them. And when you finally ship, those dashboard still won’t answer all the questions. Your customers will ask for more, then more, and then more. Finally, you’ve got to embed them, make them performant, and keep them up to date.
In-product analytics are moving from hand-built artifacts to AI-generated, web-native systems that are customized to your brand and give users ways to explore your product value.
Ridge AI is delivering AI-native dashboards and data agents that help you show customers outcomes – beautiful, interactive, and embedded right in your product. No learning curves, no fiddly product interfaces, no dedicated analytics team required.
What’s different about Ridge AI?
- AI-native. AI lets us reduce the learning curve by operating at a different level of abstraction. Product teams may not have the time to learn complex tool sets and visual best practices, but they know their product’s value proposition. Any Product Manager can guide Ridge to a brilliant dashboard and embed it in-product with a Data Agent. A lower learning curve means more value, faster.
- Handles the long tail. Ridge AI’s Data Agent lets your end-users ask questions in natural language – alongside the sense-making of the dashboard. This means fewer custom dashboard requests and more satisfied customers.
- Turnkey deployment. Slice by customer, so each sees their own data. Ridge is purpose-built for an embedded use case so your customers have a great experience on your site.
- Interactivity that drives engagement. In-browser analytics provide subsecond interactivity, compared to the best case of 3-5 seconds for legacy, server-based products. Linked interactivity across the dashboard and Data Agent make both more powerful.
- Local compute (that you don’t pay for). Ridge’s in-browser experience means compute happens locally on your customers’ machine, not in your hyperscaler. You don’t pay for every dashboard interaction and every new query.
- Best practices, built-in. We have decades of experience that help you communicate your data as effectively as possible, so that customers actually understand your story. This means customers can see your product’s value – and you can land the renewal.
While LLMs will build you a dashboard, they might not build one that answers your question. And if they do, you next have to worry about
- Visual best practice: will your customers understand it?
- Storytelling. Will you be able to tell the story of your product effectively? If everyone builds their own dashboard, do they have a shared understanding of the value?
- An AI Data Agent: If you build one, how do you build evals and guardrails and monitor to make sure it’s operating correctly?
And should you get all of that right, you next need to think about deployment:
- How do you embed it in your site?
- How do you make sure every customer sees only their own data?
- How do you get the data refreshing?
- How do you update it when needed?
- How do you make it performant?
Most builders would rather spend time on their core product. The opportunity cost of taking on all the problems at once is lost time and focus.
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