Rogo vs Hebbia: Which is Better in 2026?

• Finance-native model & platform
• Agentic workflow execution
• Firm & data integrations
• Institutional-grade outputs
• Bespoke deployment & partnership

• Matrix
• Max
• Deal team collaboration
• Connected data sources
• Document-grounded, cited outputs

Rogo is an enterprise AI platform built specifically for high-finance workflows, used by investment banks, private equity firms, and hedge funds to analyze market data, filings, and proprietary sources and produce institutional-grade outputs like Excel models, investment memos, diligence materials, and slide decks. Its agents don't just answer questions—they execute multi-step workflows the way a junior analyst would, and unlike generic AI chatbots it's built by ex-bankers and grounds its analysis in real, cited financial data. It's aimed at large financial institutions that need bespoke, security-vetted deployments embedded into their existing systems.

Hebbia is an AI platform built for institutional finance and professional-services work, used by investors, investment bankers, lawyers, consultants, and Fortune 500 firms to search, extract, and analyze information across huge collections of documents and financial data. Its signature Matrix interface lets teams run structured, cited analysis across thousands of files at once, while its Max agent automates analyst-level research tasks. What sets it apart is the depth of connected finance data sources (SEC filings, FactSet, S&P Capital IQ, PitchBook and more) combined with document-grounded, source-cited outputs aimed at deal and diligence workflows.