Hebbia
AI built for the rigor of finance
By Hebbia · HQ New York City, US · 4.0/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Investment banks and M&A advisory teams running document-heavy buy-side and sell-side diligence
- Asset managers, hedge funds and credit funds synthesizing filings, transcripts and market data
- Law firms handling large-scale document review, diligence and matter research
- Fortune 500 strategy, consulting and corporate research teams that need grounded answers from their own documents
Ideal size: 100–5,000 people · Enterprise with large document estates and IT/security review capacity
Not for
- Small teams without a large document, data-room or market-data estate
- Buyers who require published per-seat pricing and instant self-serve trial signup
- Companies looking for a general-purpose business copilot rather than finance and legal research workflows
- Organizations unwilling to run enterprise security review and data-connection setup work
Value metrics scorecard
Time-to-Value
Roughly 1–2 months (not published)
~60 days to first production value
Total Cost of Ownership
On request
Enterprise contracts quoted per firm; no public price list or plan tiers are published
Implementation Friction
3/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not published; enterprise agreements
Add-on costs
- Some data sources (e.g. Guidepoint, Third Bridge expert networks) are available only with your own service subscription
Company & support
Who is behind Hebbia, and how your team gets help once it is live.
Company
- Founded
- 2020 · 6 yrs in business
- Headquarters
- New York City, US
How you get support
We haven’t recorded support channels for Hebbia yet. Nothing here means unverified — not absent.
Market position
Where Hebbia sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Hebbia
- Shelf
- Relevance AI
- Suralink
- Truewind
- QuotaPath
Add or change companies
Up to 10 companies including Hebbia. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Hebbia ships in AI, and what it asks of your ecosystem.
AI features shipped
Hebbia presents 'Max', an AI analyst that works over a firm's documents, filings and connected market data, and 'matrices' that populate structured tables from source documents (e.g. 10-Qs, proxies, transcripts). Integrations describe search-and-chat over content stores and plain-language querying of Snowflake and Databricks warehouses. No model providers, BYOK option or AI-specific audit export…
Your data & models
- Trains on your data
- Never trains on your data
- Runs on
- Not recorded
- AI pricing
- Not recorded
In your ecosystem
- AI connection
- Not supported
- Model key
- Not recorded
- AI usage audit
- Basic visibility
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Hebbia is an AI research platform for institutional finance and legal work. Firms connect document stores, data rooms, CRMs and market-data feeds, then use its 'Max' analyst and matrices to search, extract and synthesize answers across thousands of files into structured tables, memos and decks. Customers include banks, asset managers, law firms and Fortune 500 companies. Security posture covers SOC 2 Type 2, ISO 27001 and ISO 42001, and customer data is never used to train models. Pricing is enterprise-only and not published.
Frequently asked questions
What does Hebbia do, and who is it built for?
Hebbia is an AI platform for document-heavy research and diligence. Firms connect their own content (deal data rooms, SharePoint, Box, Dropbox, AWS S3, Egnyte, Office) plus market-data sources (SEC and other filings, earnings transcripts, FactSet, S&P Global, PitchBook, Fitch, Moody's, Preqin, ICE), then use its analyst ('Max') and matrix interfaces to search, extract and synthesize answers into structured tables, memos and slide decks. Its site describes purpose-built AI trusted by investors, bankers, lawyers, consultants and Fortune 500 companies.
How is Hebbia priced?
Hebbia does not publish pricing. Its pricing page carries no plan or rate information, and the site routes buyers to 'Request a demo'. Expect custom enterprise contracts rather than self-serve seats, so budget conversations happen with sales. Note that some data sources, such as Guidepoint and Third Bridge expert networks, are available only if your firm already has service access, so those carry separate cost.
Is our data used to train AI models?
No. Hebbia's security page states that your documents, prompts and outputs are never used to train Hebbia's models or any model provider it works with, and its privacy policy says customer data is not used to train or improve generalized or third-party AI/ML models. Data is stored in siloed environments isolated from other customers, and Hebbia staff do not have direct production access.
Which systems does Hebbia integrate with?
The integrations page lists Snowflake, Databricks, Salesforce, DealCloud, SharePoint, Microsoft Office, Box, Dropbox, Egnyte, AWS S3, Intralinks, FactSet, S&P Global, PitchBook, Preqin, Fitch, Moody's, ICE, Daloopa, Guidepoint, Third Bridge, SEC/European/Canadian/ASX/NZX filings, earnings transcripts and investor presentations.
How long does it take to get into production?
Hebbia does not publish an implementation timeline. Deployment generally involves connecting document stores and market-data feeds, a security and data-residency review (US or EU regional processing, dedicated tenant if required), and onboarding across deal or matter teams. The company's about page cites more than six years building for finance and five years deploying at top firms. Plan for a pilot running weeks to months before firm-wide rollout.
What security certifications does Hebbia hold?
Its security page lists ISO/IEC 42001:2023, SOC 2 Type 2, ISO 27001:2022 and GDPR, along with CCPA and encryption at rest and in transit. The same page describes zero-trust access control with just-in-time production access and full visibility into who accessed data and when. HIPAA, FedRAMP and CMMC are not claimed there, so regulated government or healthcare buyers should validate requirements directly.