Hebbia complements enterprise search

Hebbia’s edge is not replacing enterprise search, it is becoming the system of record for high stakes document work after search. In practice, a team might use Glean to find the right folder, deck, contract, or Slack thread, then switch to Hebbia to compare clauses across hundreds of files, extract facts into a matrix, and generate a memo or pitchbook with citations and audit trails.

• The product split maps to two different budgets and rollout motions. Glean is sold for broad adoption across the company, while Hebbia is priced for a smaller group of power users in finance and legal, with seats starting at $3,000 to $10,000 per year because the buyer is paying for fewer users doing more valuable work.
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• The complementarity comes from workflow depth. Hebbia’s Matrix interface and agent layer are built to decompose a large diligence or contract review job into many smaller steps across full document sets, then synthesize the output. That is a different job from general enterprise search, even when both vendors show up in the same evaluation.
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• This also explains why Hebbia stays model agnostic. The durable layer is retrieval, orchestration, and configuration around a firm’s actual workflow, not a single fine tuned model. That same model optionality has already shown up in sales as a differentiator, with support for both closed and open models in enterprise deployments.
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The market is moving toward a two layer stack, a horizontal search layer that helps everyone find information, and a workflow layer that turns that information into finished work. As models improve, the advantage will shift even more toward products that can orchestrate multi step document processes, fit how bankers and lawyers already work, and prove every output back to source.