Hebbia
Hebbia: A focused choice for cited financial-document research, diligence, and reporting. Ranked #21 of 25 in AI Enterprise Search Software by our editors (7.2/10); pricing: Pricing on request; best for financial and private-document research teams.
At a glance
- Editor score7.2 / 10
- PricingPricing on request
- Best forFinancial and private-document research teams
- Free planNo
- Founded2020 · New York, NY, United States
- Facts checked21 Sep 2026
Where it wins
- Matrix workflows analyze large volumes of documents or companies
- Reusable agents support repeatable diligence and reporting
- Source-linked citations and previews improve traceability
Where it doesn't
- No free plan for evaluating the platform
- Web-only access limits device flexibility
- Research focus is narrower than general enterprise search
Our verdict on Hebbia
Hebbia is an AI platform for investors, bankers, lawyers, consultants, and corporate finance teams. It brings together financial data, filings, private documents, and connected business sources for search, synthesis, analysis, and report generation. Max and Matrix products support multi-document research, reusable agents, collaborative projects, shared workflows, and outputs such as spreadsheets, presentations, and reports. Mobile access is available for saved agents, while the primary platform is web-based.
Its clearest strength is structured document research. Matrix workflows are designed for analyzing large volumes of documents or companies, and reusable AI agents can support repeatable diligence and reporting processes. Generated insights include source-linked citations and citation previews, which give research teams a way to trace answers back to their materials. Connections span SEC Filings, earnings transcripts, European Filings, UK Companies House, Australia and NZ Filings, FactSet, S&P Capital IQ, PitchBook, Preqin, Fitch, ICE Market Data, EMMA, SharePoint, OneDrive, and Box. This breadth fits teams that already work across financial and private-document repositories.
Hebbia is less suited to organizations seeking a broad, general-purpose enterprise-search layer across many departments and use cases. Its emphasis is financial and private-document research rather than everyday knowledge discovery, and the web-only platform may not fit teams that require broader native access patterns. There is no free plan, so evaluation follows a sales-led path. Choose Hebbia when cited analysis, matrix-based comparison, repeatable agents, and finance-oriented integrations matter most; consider a broader enterprise-search product when general workplace search is the priority.
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Hebbia pricing
Hebbia fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Source connectors | Not verified |
| Permission sync | Not verified |
| Answer citations | Yes |
| Deployment options | Cloud |
| Indexed content limit | Not verified |
| Admin controls | Yes |
| Deployment | Cloud, Mobile |
| Platforms | Web |
| Compliance & security | SOC 2, ISO 27001, GDPR, 2FA |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 20 integrations: SEC Filings, Earnings Transcripts, European Filings, UK Companies House, Australia and NZ Filings, FactSet … |
| Pricing | Pricing on request (source) |
| Website | hebbia.com |
| Facts checked | 21 Sep 2026 |
Hebbia integrations
Hebbia lists 20 integrations on its own site.
- SEC Filings
- Earnings Transcripts
- European Filings
- UK Companies House
- Australia and NZ Filings
- FactSet
- S&P Capital IQ
- PitchBook
- Preqin
- Fitch
- ICE Market Data
- EMMA
- SharePoint
- OneDrive
- Box
- Dropbox
- Egnyte
- AWS
- IntraLinks
- Web
Alternatives to Hebbia
- SinequaA governed search platform for large enterprises with complex information estates.9.4
- Mindbreeze InSpireA broad enterprise search platform for permission-aware answers across complex data estates.9.3
- CoveoA mature enterprise search platform with deep retrieval, personalization, and integration capabilities.9.2
Also Ranked In
Hebbia is ranked in 3 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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