SAN FRANCISCO: Hilbert has raised $28 million in a Series A round to scale its agentic AI platform for enterprise growth teams. Andreessen Horowitz led the round.
The company connects company data across departments, sales, marketing, product, and finance, into a single decisioning system. It structures that data so AI models can recommend specific actions and quantify their financial impact before execution. The goal is to move enterprise teams from dashboards and analysis toward AI that recommends and acts.
The pitch targets a gap that most enterprise AI tools have not closed. Companies have more data than ever. They also have more tools to visualise it. What they lack is a layer that translates data into decisions with a measurable return, and executes those decisions repeatedly at scale. Most AI tools stop at insight. Hilbert is built to go further.
The agentic layer handles the translation. It identifies growth opportunities, models the expected impact of each action, and surfaces prioritised recommendations for commercial teams. Rather than asking humans to synthesise data from multiple systems, it does the synthesis and presents the conclusion with a financial number attached. Teams can then act, or let the system act autonomously.
This positions Hilbert squarely in a new category of enterprise AI. The first wave of AI tools automated data collection and reporting. The second wave automated analysis. The third, which Hilbert is building for, automates the decision itself. That is a meaningfully harder problem. It requires understanding business context, modelling outcomes, and connecting recommendations to execution workflows.
The $28 million will fund product development, engineering, and go-to-market expansion. Andreessen Horowitz’s backing signals conviction in the agentic decisioning category as AI moves beyond analysis into action inside enterprise workflows.
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