Preset Raises Series C Led by a16z
Today we're announcing that Preset has completed its Series C, raising $7.27M in a round led by Andreessen Horowitz (a16z), with participation from Redpoint Ventures and Datatech.fund. At 400+ customers, accelerating growth, and high capital efficiency, here is why we're doubling down.
Why now
The models we have today, given the right context, tools, and guidance, have essentially no ceiling on what they can achieve. The bottleneck has moved. It's no longer about what AI can do. It's about what infrastructure exists for AI to work with.
Analytics is a huge part of that. Every meaningful decision in a company touches data, and interactive visualization remains one of the highest-bandwidth ways to understand it. A chart surfaces patterns that thousands of words or tokens never could. That's the lens through which we think about Superset and Preset.
This shift plays directly into open source. AI systems need stable, well-documented, extensible interfaces to build on. Proprietary black boxes are the worst possible foundation for an agentic world. Open source is the best one.
Where Superset fits
Apache Superset has quietly become one of the most widely adopted analytics platforms in the world: 70k+ GitHub stars, 1,400+ contributors, and a community that keeps growing. What's been especially interesting to watch is how adoption compounds. Teams within companies discover Superset, adopt it, and spread it internally. That organic loop is something no amount of marketing spend can replicate.
AI is accelerating this flywheel in ways we didn't fully anticipate. Open source projects live in the training data of every foundation model. Every line of Superset's code, every comment on every issue, every SIP, every blog post, every Stack Overflow answer. With each new model and deeper training run, we see just how well agents already know Superset. They can write against its APIs, configure it, extend it, and debug it out of the box. Agents prefer what they know, and they know open source best.
This creates a virtuous cycle that's unique to open source. More adoption leads to more contributions, which leads to better documentation and richer training data, which makes agents even more capable with the tool, which drives more adoption. And unlike the traditional open source flywheel, agents can contribute back in meaningful ways too, writing code, triaging issues, and improving docs at a pace that wasn't possible before.
Superset started as a tool for humans to explore data. It's becoming the structured analytics layer that both people and their AI agents build on top of. Open APIs, MCP service, component libraries, embed-anywhere, and a massive ecosystem make it a natural foundation for this new world.
Where Preset fits
Our job is to make Superset enterprise-ready and to push the boundaries of what's possible on top of it. We've built the managed platform, the governance layer, the collaboration features, and now the AI capabilities that turn Superset from a powerful open-source project into a complete analytics solution.
What's next
We're putting this capital toward deepening our AI capabilities and strengthening the Superset ecosystem. The foundation we've built for data consumption, for users and their agents alike, is just getting started.
We are grateful to a16z for leading this round and to Redpoint Ventures and Datatech.fund for their continued support. And to the Superset community and our customers: you're the reason we're here.
