Hebbia

Hebbia is a New York-based AI company that reimagines knowledge work by turning every document in an organization into a structured, query-ready database. Its core product, the Matrix interface, lets analysts pose natural-language questions across entire deal rooms, data rooms, or internal archives and receive precise, source-highlighted answers within seconds. Instead of returning a list of links, Hebbia generates a spreadsheet-like grid where each row is an answer, each column is a requested variable, and every cell is anchored to the exact page, table, or paragraph that justifies it.

Key features include: (1) tabular extraction—users can ask for “purchase-price allocations” or “change-of-control clauses” and instantly populate a matrix with the relevant values; (2) sentence-level provenance—every extracted data point carries a one-click citation so teams can audit compliance or dive deeper without reopening the PDF; (3) multi-document reasoning—the engine simultaneously reasons across hundreds of contracts, pitch books, or 10-Ks, surfacing inconsistencies or hidden risks; (4) collaborative workspace—banks, funds, and consultancies can share live matrices, annotate cells, and export directly to Excel or PowerPoint; (5) private-cloud deployment—client data never leaves their VPC, and the underlying large language models can be fine-tuned on the firm’s own precedents. Hebbia’s customers report 10× faster diligence and 70 % fewer junior-hour hours on tasks such as covenant extraction, ESG clause review, or portfolio-company benchmarking.