Hebbia

Hebbia is a web-based enterprise AI platform (Matrix) for finance and legal teams that need to analyze large document sets for high-stakes decisions.

Key capabilities include:

• Multi-agent analysis that decomposes complex questions, routes tasks to specialized agents, and synthesizes outputs for workflows like M&A deal analysis, due diligence, contract review, and e-discovery
• Infinite effective context window to reason across large volumes of files (for example, earnings calls, filings, investor materials, and internal documents) without typical context limits
• Neural search and contextual retrieval to locate relevant passages across massive datasets and connect evidence to the answer
• Source citations to support auditability, provenance, and compliance requirements

Pricing: Paid, enterprise contracts, contact sales for pricing.

What makes it notable: Matrix is designed for complex, document-heavy finance and legal work where teams need transparent, cited answers and analysis across large corpora. It emphasizes enterprise security and compliance (SOC 2 Type II, end-to-end encryption, no training on user data), and it targets workflows that commonly break traditional RAG approaches at scale.