Hilbert

AI-native B2C Growth Infrastructure

Hilbert is a growth infrastructure platform for consumer companies that consolidates fragmented marketing and product data, maps it into a contextual schema, and runs AI agents on top to power experimentation, targeting, and lifecycle decisions. It positions itself as a data science-first growth infra that gives B2C teams predictive clarity into user behavior, revenue drivers, and the actions that drive sustainable growth. The pitch is aimed at growth, marketing, and analytics leaders who spend most of their time wrangling event taxonomies, attribution tables, and warehouse logic before they can run a meaningful campaign or experiment. This launch marks Hilbert's $28 million Series A funding round led by Andreessen Horowitz , with a16z framing the bet around a familiar pain point. Behind every growth team sits a tangle of data schemas, event taxonomies, attribution tables, and warehouse logic that must be correct before anyone can run a meaningful experiment, optimize a campaign, or even answer the question "did that even work?" The people who build and maintain this layer are the hardest to hire and the most expensive to retain. Hilbert's approach is to structure and label the data that growth teams need to operate at scale, then layer on analytics, operations, and execution so teams can co-create growth strategies on top of clean, reliable data , with early traction spanning large retailers and AI-native consumer companies. The company was founded by Naz, who built Getir's entire growth function from scratch and scaled it across nine countries, alongside Ceyda as the operational lead and co-founders Ozgur and Cenk, who together ran the growth, data, and ops functions at a company that scaled at breakneck speed . For founders and operators evaluating where AI agents actually stick inside a B2C org, Hilbert is a useful data point on what happens when the schema layer itself becomes the product rather than another dashboard bolted onto a warehouse.

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