Hebbia AI

Hebbia is an AI platform designed to help professionals in finance, legal, and consulting fields automate complex analytical work. It's specifically built for deep research and document analysis rather than casual conversations or general chatbot tasks. The platform specializes in extracting insights from large volumes of unstructured data and breaking down complex, multi-step workflows into manageable tasks.

Matrix is Hebbia's main product and collaborative AI interface. It's an operating system powered by AI agents that lets you ask complex, multi-step questions spanning massive document libraries. Instead of relying on a single AI model, Matrix uses an "agent swarm" architecture where multiple AI agents work together to tackle different pieces of complex problems simultaneously.

Hebbia uses a distributed orchestration engine that orchestrates multiple AI agents in parallel, leveraging OpenAI's o3-mini, o1, and GPT-4o models. The platform features an "infinite effective context window," which overcomes the limitations of traditional retrieval-augmented generation (RAG) and allows the system to process practically unlimited amounts of data without typical AI memory constraints. The system breaks down complex queries into structured analytical steps, intelligently routes tasks to the best AI model for the job, processes full documents rather than just excerpts, and synthesizes answers with full citations for transparency.

Hebbia is primarily designed for professionals in the finance and asset management sectors, including private equity and investment banking, as well as legal and professional services, law firms, consulting firms, top-tier asset managers, and investment banks. The platform targets roles that require intensive data extraction and analysis from dense, specialized documents, not general business support or casual communication.

Hebbia can handle a wide range of professional tasks including finance and M&A activities such as due diligence analysis across dataroom materials, precedent transactions research, sourcing and company screening, and quarterly reporting streamlining. For legal work, it can perform contract review and analysis, e-discovery for litigation, regulatory analysis and assessment, litigation deposition summarization, and patent portfolio analysis. General professional tasks supported include expert call synthesis, sentiment analysis, knowledge library creation and search, and complex multi-step workflow automation.

Hebbia with OpenAI o1 achieves 92% accuracy on rigorous benchmarks spanning both quantitative and qualitative tasks across complex legal and financial documents—up from 68% with out-of-the-box RAG.

No, there is currently no free trial or self-serve option available. To access Hebbia or learn more about the platform, you must book a sales demo with the company.

There are currently no specific pricing details publicly available on Hebbia's website. You would need to contact the company directly through a demo to discuss pricing options.

Hebbia is deeply committed to security and compliance, maintaining strict guidelines and processes to ensure stability and security of the platform. The platform is trusted by the largest and most regulated global institutions and emphasizes enterprise security as a core feature. Data is not used for training AI models without explicit consent.

The main features of Hebbia include advanced search capabilities that understand meaning behind questions, not just keywords; complex multi-step workflows that turn prompts into actionable workflows; customizable insights that flag key terms and patterns across documents; total transparency that traces every action the AI takes; any data modality with an infinite effective context window; and enterprise security for regulated institutions.

Hebbia can reason over any amount and modality of data, including documents, contracts, depositions, emails, financial reports, patent portfolios, and other unstructured information. It can process full documents rather than just excerpts and handle practically unlimited amounts of offline data.

Unlike some competitors, Hebbia requires significant hand-holding through the sales process and doesn't offer quick self-serve implementation. Setup is not instantaneous and typically involves working with the Hebbia team through a demo and onboarding process.