Hilberts
Growth teams love to say they are data-driven until the data starts asking harder questions than the room can answer. That tension is where Hilbert operates, and it is exactly why the company is gaining traction inside the startup ecosystem. Out of San Francisco, Hilbert is building something far less polite than another analytics layer. It is an AI-native growth engine designed to think, decide, and act. Founded by Nazli Tan, Hilbert comes straight out of the trenches of B2C growth, where fragmented data and slow decisions cost real money. The company’s thesis is blunt and hard-earned: insight without action is just expensive decoration.
Hilbert’s product behaves less like software and more like a system with a pulse. It ingests customer data across product, marketing, and lifecycle, then uses deep learning to map behavior, detect shifts, and recommend what to do next with financial consequences attached. Not suggestions for a slide deck, but decisions with weight. The platform is built to compress decision cycles from months into minutes, replacing human constraints with an always-on engine that keeps tuning the funnel while the business runs. Inside the startup ecosystem, where speed and precision separate signal from noise, that shift is not incremental. It is structural.
The market has started to listen. In April 2026, Hilbert raised a $28M Series A led by Andreessen Horowitz, a signal that the idea of “growth infrastructure” is moving from theory to priority. Walmart is already using the platform to better understand customer preferences and determine how to respond, a proving ground that does not tolerate fragile systems. When a company operating at that scale trusts your models to guide decisions, you are no longer experimenting. You are operating. That traction, paired with a tight, high-agency team, places Hilbert in a category that the startup ecosystem is only beginning to define.
What makes Hilbert interesting is not just the technology, but the posture. This is not a tool you visit. It is a system you rely on. The company frames it as a compounding engine, one that learns from every action and sharpens over time. That creates a different kind of gravity. Data becomes memory, decisions become feedback, and growth starts to look less like a campaign and more like a living process. The longer it runs, the smarter it gets, and the harder it is to replace.
Hilbert is actively building out that future with a small, focused team and a clear mandate: turn AI from a cost center into a growth driver that actually shows up on the scoreboard. Roles across growth and product are open, and the bar is unapologetically high. If you want proximity to real data, real decisions, and real impact, this is the kind of room where things move fast and outcomes matter. Explore the roles here and decide if you want to watch this category form or help shape it from the inside.
