Hilbert Secures Series A for AI Growth Agents

Andreessen Horowitz (a16z) has led the Series A funding round for Hilbert, a startup building AI growth agents for consumer companies. The investment aims to tackle the complex data infrastructure challenges that often impede growth initiatives.

The core problem Hilbert addresses is the "plumbing" of growth: the intricate web of data schemas, event taxonomies, and attribution logic that underpins effective experimentation and campaign optimization. This foundational layer is notoriously difficult and expensive to build and maintain.

Hilbert's approach leverages advancements in what is being called Software 3.0, using AI to autonomously learn, structure, and label a company's data. This allows for the creation of reliable data foundations that evolve with the business.

AI Growth Agents

These AI growth agents aim to transform growth operations from a manual, often guesswork-driven process into a data-informed, automated function. What once took months and multiple hires can now be deployed in weeks.

Structuring Data for Growth

Hilbert begins by organizing and labeling the essential data schemas for growth, creating a clean and reliable base. The company then layers analytics, operations, and execution capabilities on top of this foundation.

This robust data infrastructure not only saves on headcount but also enhances the efficiency and trustworthiness of every growth investment and experiment.

The company's founding team, Naz and Ceyda, previously built and scaled growth functions at companies like Getir, bringing firsthand experience with the pain points Hilbert aims to solve.

Hilbert's technology is being adopted by a range of companies, from large retailers to fast-growing AI-native startups, indicating broad applicability and effectiveness.

The Hilbert Series A funding signifies a move towards automating complex, data-intensive functions within consumer businesses.