Short answer: Choose Rogo if your priority is accelerating core investment-banking and sell-side workflows with a tool purpose-built for finance. Choose Hebbia if your priority is analysing large, varied document sets — across diligence, legal and research — with cited, source-grounded answers. Neither publishes pricing.
Rogo vs Hebbia at a glance
| Rogo | Hebbia | |
|---|---|---|
| Core focus | Finance-specific AI analyst for IB workflows | Enterprise document analysis (finance & law) |
| Positioning | Workflow-specialised for deal teams | Document-analysis-led, more horizontal |
| Primary users | Investment bankers, sell-side analysts | Finance and legal teams, diligence, research |
| Pricing | Not published; Sacra estimates about $3,300 per seat per year | Not published |
| Funding (reported) | $75M Series C (Jan 2026, $750M post); $160M Series D (Apr 2026, ~$2B reported) | $161M total as of the $130M Series B (Jul 2024, ~$700M valuation) |
| Lead investor (latest reported round) | Kleiner Perkins (Series D); Sequoia Capital led the Series C | Andreessen Horowitz (Series B) |
| Best for | Deal preparation and IB-specific tasks | Querying and analysing big document sets |
Funding figures come from public reporting (Sacra, Crunchbase News, TechCrunch and vendor statements) and are not independently audited by us. Both companies' pricing is not publicly disclosed.
Pricing reality
Neither Rogo nor Hebbia publishes pricing; both sell enterprise contracts. The only public estimate we found is Sacra's figure of about $3,300 per seat per year for Rogo, a third-party estimate rather than a vendor rate. Treat any figure for either platform as unverified until your own quote confirms it.
Want each platform in depth? Read our Rogo review and Hebbia review, part of our finance AI agents coverage.
Feature-by-feature
Specialisation vs breadth
The defining difference is how each platform is shaped. Rogo is finance-specific by design: its tooling is built around the way deal teams actually work, with capabilities tuned for investment-banking and sell-side tasks such as building materials, running comparable analyses and preparing for transactions. Hebbia is broader: a document-analysis platform whose Matrix product takes in many files and returns answers in a spreadsheet-style grid; its customers are mainly asset managers, banks and other financial institutions, with expansion into law firms. Where Rogo goes deep on a domain, Hebbia goes wide on document types and use cases.
Document analysis and source grounding
Hebbia's heritage is generative AI search over large document sets; Matrix shows the source documents beside each answer. Rogo says every answer cites the filing, model or document it came from, and frames its outputs inside finance workflows. If your core problem is "we have thousands of pages and need cited answers fast," Hebbia's design speaks directly to it. If your core problem is "our analysts spend too long preparing deal materials," Rogo's workflow framing fits better.
Funding and momentum
Rogo raised a $75 million Series C in January 2026 at a $750 million post-money valuation led by Sequoia Capital, with Henry Kravis and Wells Fargo joining returning investors Thrive Capital, Khosla Ventures, Tiger Global and J.P. Morgan, followed in April 2026 by a $160 million Series D led by Kleiner Perkins at a reported $2 billion valuation. Hebbia had raised $161 million in total as of its $130 million Series B, led by Andreessen Horowitz in July 2024 at about a $700 million valuation. We report these figures from public sources and have not audited them ourselves.
Where each platform wins
Rogo advantages
- Purpose-built for investment-banking and sell-side workflows
- Accelerates recurring deal-preparation tasks
- Exceptional funding and investor backing
- Strong fit for analyst and associate productivity
Hebbia advantages
- Powerful enterprise document analysis at scale
- Matrix grid shows source documents beside answers
- Works across finance and legal use cases
- More horizontal: serves multiple teams
- Strong fit for diligence and large-corpus review
- Established funding and enterprise track record
Which should you choose?
Choose Rogo if your highest-value problem is the time investment bankers and sell-side analysts spend on deal preparation and recurring finance tasks, and you want a tool that understands that domain rather than a general assistant.
Choose Hebbia if your highest-value problem is analysing large, varied document sets — diligence rooms, legal documents, research libraries — with fast, cited answers, and you want a platform multiple teams can use.
Evaluate both if you are a large institution with distinct needs across deal teams and research or legal functions; they are not mutually exclusive, and many firms pilot each for the team it fits best. For the wider field, see our finance AI agents hub.
Alternatives to consider
Numeric
AI for accounting and close workflows, aimed at finance and controllership teams.
Read review →How we evaluate finance AI platforms
Our comparison follows the framework in our methodology: we weigh fit to the specific finance workflow, the credibility of source grounding and citations, integration with enterprise data, the security and compliance posture demanded by regulated buyers, and vendor stability as signalled by funding and customer base. We are explicit about what we cannot verify — in this case, both platforms' pricing, which is not publicly disclosed, and funding figures, which we report from public sources without auditing. We do not publish aggregate user ratings for either platform, because we collect those only once enough verified practitioner submissions exist. This is an editorial assessment from public sources, not a hands-on trial and not a substitute for your own due diligence.
What about AlphaSense and the wider field?
Rogo and Hebbia are not the only names a finance team will hear. AlphaSense is frequently mentioned in the same breath, but it occupies a different niche: it is search-led, built around a vast library of market intelligence, filings and broker research, where Hebbia is enterprise-search over your own documents and Rogo is investment-banking workflow execution. A useful way to hold the three apart is by the question each answers best: AlphaSense for "what does the market and the research say," Hebbia for "what do our documents say, with citations," and Rogo for "help my deal team do their recurring work faster."
Verdict
Rogo and Hebbia are less direct rivals than their frequent pairing suggests. Rogo is the finance-native specialist, sharpest where the problem is the time deal teams spend on recurring investment-banking work. Hebbia is the document-analysis platform, sharpest where the problem is extracting cited answers from large, varied corpora across finance and law. Neither publishes pricing, so the path for any serious buyer is the same: scope a pilot on a real workflow, measure the expensive human hours it saves, and let that drive the negotiation.
Sources
- Our $75M Series C and European expansion, Rogo, checked 11 October 2026
- Rogo company profile, Sacra, checked 11 October 2026
- Rogo Raises $160M Series D to Scale the Agentic Platform for Finance, PR Newswire, checked 11 October 2026
- Rogo raises $160 million Series D at $2 billion valuation, TipRanks, checked 11 October 2026
- Product, Rogo, checked 11 October 2026
- Hebbia raises $130M Series B, Crunchbase News, checked 11 October 2026
- AI startup Hebbia raised $130M at a $700M valuation, TechCrunch, checked 11 October 2026
- Hebbia home page, Hebbia, checked 11 October 2026
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