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Chronicles

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Hilbert, whose AI software connects data across teams to help companies make decisions from a single system, raised a $28M Series A led by a16z

Hilbert, an AI startup rethinking how companies drive growth, raised a $28 million Series A led by Andreessen Horowitz, the startup told Axios exclusively.

Axios Madison Mills

Context & Ripple Effects

Hilbert’s round follows a16z-backed investments in AI application companies aimed at distinct enterprise workflows: 11x targets sales tasks, while Hebbia focuses on working through documents. Hilbert is positioned around linking data across teams into a shared decision system.

The financing also extends a16z’s stated allocation toward AI, moving that capital into an enterprise-data application rather than a narrowly defined task tool.

First-order effects

  • Hilbert gains $28 million in Series A funding to build out its AI data-integration platform, while a16z becomes its lead institutional backer.
  • Companies evaluating a single cross-team decision layer gain another funded vendor in the enterprise AI software market.

Second-order effects

  • Hilbert’s funding raises competitive pressure on AI vendors focused on individual business functions, such as sales assistance or document analysis, to show how their tools fit into broader company data flows.
  • The value proposition shifts toward integrations and access to organizational data, because a cross-team system depends on connecting information already held by separate teams.

Third-order effects

  • If this category gains adoption, enterprise AI competition may increasingly center on control of the data and workflow layer that connects specialist tools, rather than on standalone assistants alone.
  • That would make distribution inside organizations and durable integrations more consequential than a single AI feature, though the corpus does not establish whether Hilbert can achieve that position.

The trend: This is part of the expansion of venture funding from AI infrastructure into enterprise applications that seek to turn fragmented company data into operational decision systems.