Hebbia

Hebbia is a heavy-duty AI research tool designed for the most demanding document-centric workflows in finance. Used by firms managing trillions in assets, it specializes in synthesizing thousands of pages of filings, transcripts, and Virtual Data Rooms (VDRs).

  ### The Matrix Workflow
  Hebbia’s flagship feature, **Matrix**, allows analysts to map out complex queries across hundreds of documents simultaneously.
  * **Multi-Agent Reasoning**: Complex questions are broken down into verifiable steps performed by specialized AI agents.
  * **Full Source Citations**: Every claim is linked back to the specific page and paragraph in the source document, ensuring auditability.
  * **Zero Data Retention (ZDR)**: Meets strict institutional security standards for handling sensitive M&A data.
  
  | Feature | Standard AI | Hebbia Matrix |
  | :--- | :--- | :--- |
  | **Context Window** | Samples snippets | Analyzes entire document sets |
  | **Auditability** | High hallucination risk | 1:1 verified citations |
  | **Format** | Chat-based | Structured tabular output |
  
  **Use Case**: Perfect for investment bankers conducting due diligence or equity researchers needing to compare management commentary across five years of earnings calls in minutes.