Our Bet on Matia as it Modernizes Data Infrastructure for the AI Era

Two years ago, we were spending a lot of time across our portfolio on a problem that surfaced again and again: data teams were under increasing pressure while the infrastructure they relied on had become more fragmented than ever.

In practice, that meant data teams were being asked to manage an ever-growing set of tools all operating in silos. The result was higher cost, more complexity, and an erosion of trust in the data itself.

At the same time, data was becoming foundational to how companies operate and compete, especially for those companies aiming to harness AI. As data is the fuel for AI, reliability and accuracy are paramount.

Our thesis was straightforward: data teams need fewer vendors and a more unified platform, thereby raising the bar for clarity and performance.

It was in that context that we met Matia. 

From the outset, the team was clearly betting on consolidation, bringing four parts of the data stack — ETL, observability, catalog, and reverse ETL — into a single, tightly integrated platform. Each of these categories has produced multi-billion-dollar companies on its own. Bringing them together requires a rare level of conviction and execution. 

Since we partnered with Matia at the Seed stage, our thesis has proven true faster than we could have imagined. 

Over the past year, the business has grown more than 10x, a reflection of both the breadth of the product and how clearly it’s resonating with some of the most innovative and demanding customers in the world, including Ramp, Drata, Lemonade, Rogo, and Honeybook. These are teams that care deeply about reliability and trust in their data.

This matters even more as AI systems now move into production. Data needs to be accurate and reliable. There’s no tolerance for error. If AI agents are going to query systems, build pipelines, or diagnose issues, the underlying data infrastructure has to work every time.

That’s where Matia’s longer term vision comes in. Building on the foundation they've established, Matia is now developing a natural-language platform for teams to easily build data pipelines, handle data modelling, and manage data quality. Effectively Cursor for data engineers.

There are certain founders you meet where you walk away with a feeling that whatever it is that they do, they will not stop until they win. Spending time with co-founders (and brothers) Ben Segal and Geva Segal, you get this sense of inevitability, and increasingly so with the incredible team they’ve built around them.

We’re proud to continue partnering with Matia at Series A as they move aggressively on go-to-market and pull their AI roadmap forward, and we're excited to see what they build next.