Hilbert, a startup building autonomous AI agents for business growth decisions, closed a $28 million Series A led by Andreessen Horowitz on April 15, according to multiple reports confirming an Axios exclusive. The round positions Hilbert’s product as the answer to what it calls “AI’s ROI problem”: companies spending heavily on AI infrastructure without seeing proportional revenue impact.
Agents That Make Decisions, Not Recommendations
Hilbert’s product automates the commercial decisions that drive growth at consumer companies: pricing, promotion timing, product assortment, and marketing spend allocation. These are decisions that happen at machine speed and at scales where human judgment becomes a bottleneck.
The core thesis is specific. Most enterprise AI deployments assist humans in making decisions. Hilbert’s agents make the decisions autonomously, executing against real-time data rather than surfacing dashboards for a human to interpret and act on later.
The founding team brings direct operational experience with this problem. Founders Naz and Ceyda previously built and scaled growth functions at Getir, the Turkish rapid delivery company, where the gap between data-driven insight and execution speed is measured in minutes, according to StartupHub AI.
The Data Plumbing Problem
Hilbert’s approach starts with what StartupHub AI described as “the plumbing of growth”: the data schemas, event taxonomies, and attribution logic that underpin experimentation and campaign optimization. This foundational layer is notoriously expensive to build and maintain.
The company uses AI to autonomously learn, structure, and label a customer’s data, creating reliable data foundations that evolve with the business. On top of that clean base, Hilbert layers analytics, operations, and execution capabilities. What previously required months of work and multiple hires can now deploy in weeks, the company claims.
Customers range from large retailers to fast-growing AI-native startups, per StartupHub AI, indicating the approach works across company sizes and maturity levels.
a16z’s Signal
The a16z lead is the market signal worth noting. Andreessen Horowitz is the most active VC in AI infrastructure and agent companies. An a16z-led Series A at $28M positions Hilbert as a potential platform company in the growth-automation vertical rather than a point solution.
The round also reflects a broader category emerging in the agent economy: agents that produce commercial outcomes rather than developer productivity. This week alone has seen SolvaPay raise for machine-native payment infrastructure, Parasail close $32M for pay-per-token agent inference, and Cadence deploy AI agents for semiconductor design. Hilbert adds consumer-facing growth decisions to the list of domains where agents are moving from analysis to autonomous execution.
For anyone building agents that touch revenue, the question Hilbert is testing is whether autonomous commercial decision-making at machine speed produces better outcomes than human-assisted analysis. The a16z bet says the answer is yes.