Hebbia Matrix is a powerful autonomous AI designed to augment knowledge workers. It can ingest and analyze vast corpora of unstructured data – think hundreds of PDFs, contracts, transcripts, or research papers – and then answer questions or produce summaries that previously required teams of analysts. The Matrix system uses a collection of cooperating agents: it employs world-class task decomposition to break a complex query into manageable parts, then processes documents in parallel to gather relevant information (Introducing Matrix – The Interface to AGI). It handles not just text but also charts, tables, and even images within documents, using integrated vision capabilities. A standout feature is its transparent reasoning interface: users can see how Matrix derived an answer, with citations to source documents, fostering trust in the results. For example, an investment analyst can ask, “What are the fastest growing revenue segments of the top 5 gaming companies?” – Matrix will sift through financial filings and output a structured answer with supporting data (Introducing Matrix – The Interface to AGI) (Introducing Matrix – The Interface to AGI). In practice, Hebbia Matrix has dramatically accelerated tasks like due diligence, legal discovery, and academic research. Several top private equity and consulting firms reported that Matrix allowed them to analyze data that would have been infeasible manually, contributing to more informed decisions. Notably, Hebbia’s technology achieved significant market traction – by 2024 the company served 33% of top global asset managers and reached $13M ARR by solving data challenges for its clients () (). By providing a tireless AI research agent, Hebbia is transforming how organizations extract value from their information troves.