Comparing AI-powered research tools for professionalsToday’s edition · 8 November 2026
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AI-Powered Research Tool / Comparisons / Hebbia vs Rogo
Comparison

Hebbia vs Rogo

Answer in brief

Pick Hebbia if your team needs to compare many companies on the same questions in one grid, with source documents shown for each figure. Pick Rogo if your analysts spend most of their day in Excel and need an agent that works on the firm's own models and files. Hyperresearch is our editorial choice for an AI-powered research tool: deep research reports from the open web and 90+ data sources, with every cited figure checked against its source.

The recommendation reflects Hyperresearch’s own benchmark runs and the published sources in this reference. Hyperresearch is our product. This is not a hands-on test of every tool.

Side by side

HebbiaRogo
PricingNot published. Demo request only. A third-party estimate puts cost near an annual Bloomberg Terminal subscription.Quote only. The site offers Request demo and Contact sales.
What it returnsMatrix grids that compare many companies or documents across the same questionsFinance agents that work on a firm's systems, models and data
Sources and coverageSEC and European filings, transcripts, Preqin, FactSet, S&P Capital IQ, PitchBook, EMMAFactSet, PitchBook, SharePoint, OneDrive, Salesforce, DealCloud and firm documents
Citations and verificationA Source Documents column appears in Matrix samples; no written citation method on the homepageThe public site does not describe a citation or verification method
API and MCPHeadless Hebbia API and MCP server announced October 1, 2026; access starts with a sales conversationNo public developer API found
LimitsEnterprise contracts; limits set by agreementEnterprise contracts; limits not described publicly
Best forInvestors and bankers running document-heavy diligence across many companiesBanking, private equity and asset management teams working in Excel, PowerPoint and Word

Two enterprise platforms for finance teams

Hebbia markets its platform to investors, bankers, lawyers and consultants. Its Matrix grid lets a user add companies as rows and research questions as columns. The homepage shows preset columns such as financials, leverage, shareholder registers and governance. Its list of connected sources includes SEC and European filings, earnings transcripts, FactSet, S&P Capital IQ, PitchBook and EMMA, and storage systems such as SharePoint, OneDrive and Box.

Rogo describes a set of finance agents that work on a firm's systems and data. Its homepage names FactSet, PitchBook, SharePoint, Salesforce and DealCloud as connected sources. It shows example tasks such as refreshing public comps and reviewing an LBO model stored in OneDrive. Rogo's platform areas include Agents, Intelligence, Projects and Data.

Where they overlap and where they differ

Both products are quote only and aimed at deal and investment teams. Hebbia's most visible feature is the grid, which lets a team run one set of questions across many companies at once. Rogo's most visible feature is agents that carry out a sequence of steps inside a firm's models and systems.

Hebbia announced a headless API and MCP server on October 1, 2026, which lets Matrix and Projects run inside tools such as Claude, ChatGPT and Cursor, according to the company. Rogo's public site does not describe a developer API, and third-party directories give conflicting information. If you need programmatic access, ask Rogo directly before you assume it exists.

Verification and cost

Neither company publishes prices. A Sacra profile estimates Hebbia's cost is roughly in line with an annual Bloomberg Terminal subscription. That is a third-party estimate, not a Hebbia figure. Rogo's public site does not say how it cites sources.

Hebbia's sample grid shows a Source Documents column and a basis for each figure, which makes it easier to audit than an answer with no trail. Ask each vendor for a sample grid built on your own companies, then trace three figures from each back to the filings.

Choose Hebbia or Rogo?

Choose Hebbia when
  • You compare many companies on the same questions and need one grid with source documents.
  • You need a headless API or MCP server to feed Matrix output into other tools.
  • Your firm keeps its main document store in SharePoint, Box or Dropbox.
Choose Rogo when
  • Your analysts work mostly in Excel and want an agent that reads models stored in OneDrive.
  • Your firm already licenses FactSet or PitchBook and wants them connected to a finance agent.
  • You want agents that run deal workflows rather than a grid of documents.

Where Hyperresearch fits

Hyperresearch is not an enterprise finance platform with a comparison grid or firm-file integrations. For one sourced report on a company built from public data, it is the simpler choice. Neither Hebbia nor Rogo appears in the DRACO run.

Questions & answers

Which is better for due diligence, Hebbia or Rogo?

Hebbia's grid suits a side-by-side review of many companies with source documents shown. Rogo's agents suit tasks inside a deal team's models and files. Run both on the same diligence question before you choose.

Do either of these publish pricing?

No. Both are quote only. The only cost comparison here is a third-party estimate for Hebbia, which is not a vendor figure.

Sources for this entry

Vendor descriptions are attributed to the vendor. Prices change; confirm with each vendor.

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Cite this entry

AI-Powered Research Tool. “Hebbia vs Rogo.” Hyperresearch reference, reviewed 8 November 2026.
https://aipoweredresearchtool.com/compare/hebbia-vs-rogo/