Hilbert Raises $28M Series A to Connect Enterprise Data With Agentic AI Decisioning

San Francisco-based Hilbert, building an agentic AI platform designed to connect fragmented data across teams into a single decisioning system, just closed a Series A led by Andreessen Horowitz. No fireworks needed when the signal is that strong. a16z doesn’t show up for science projects. They show up when the infrastructure starts to look inevitable.

Credit where it’s due. According to founder-linked ecosystem signals, this was built by a team that knows exactly where growth breaks under pressure. Nazli Tan, Ceyda Erten, Cenk Batman, and Ozgur Akaoglu didn’t stumble into this problem space. They’ve lived inside it, where data looks polished in a deck but falls apart the second decisions need to get made.

The premise sounds clean, almost too clean. Take the mess of siloed data, structure it, and let AI not just analyze but recommend actions with clear financial impact. But anyone who has lived inside a B2C growth engine knows this is where things usually fall apart. Not in the models. Not in the ambition. In the plumbing. In the months it takes to get data usable, aligned, and trusted across teams that speak completely different dialects of “truth.”

Hilbert leans into that mess instead of dancing around it. The platform is built to give predictive clarity into user behavior and revenue drivers while collapsing decision cycles from months into minutes. That’s not a feature. That’s a power shift. When decisions compress, org charts feel it. When insight turns into action without a committee meeting, velocity stops being a crutch and starts becoming a moat.

And here’s where it gets interesting. This isn’t just another analytics layer dressed up in AI vocabulary. The system is designed to connect insight, decision-making, and execution. That means the value isn’t in what you see. It’s in what you do next, and how fast you can do it without second-guessing the data underneath.

The takeaway for operators and builders is pretty simple, even if it stings a little. Throwing money at AI without fixing the foundation is just expensive optimism. Hilbert is betting that the winners in this next cycle won’t be the ones with the most models, but the ones with the cleanest, most actionable understanding of their own business.