Hebbia

Hebbia is an institutional AI platform for investors, bankers, lawyers, consultants, and Fortune 500 companies. Its Max assistant is designed for finance work such as deal analysis, financial modeling, and research. Max can produce financial models with citations in each cell, formatted to a firm’s style and prepared for review, as well as branded presentations from analysis. Users can also send requests over email, including questions, presentation requests, and meeting preparation. Matrix analyzes documents or companies at scale and connects findings to their supporting material. Skills and custom agents can turn firm processes into ongoing workflows that trigger automatically. Listed integrations include Snowflake, FactSet, PitchBook, S&P Global, Salesforce, SharePoint, Box, Dropbox, and Databricks; Guidepoint expert call transcripts require service access. Hebbia says customer documents, prompts, and outputs are not used to train its models or providers’ models, and customer data is kept in isolated environments. It offers US and EU regional processing and a dedicated tenant option. Pricing is custom and available by request; the service is listed for web, iOS, and API access.

Hebbia combines finance-oriented assistance, document analysis, and automatable firm workflows. Buyers should request pricing and consider its named-user license and service-access limits when evaluating deployment.

Hebbia is aimed at institutional teams in finance, law, consulting, and large companies that work with documents, analysis, or repeatable processes.

Hebbia is an institutional AI platform aimed at investors, bankers, lawyers, consultants, and large companies. It suits teams that need cited analysis across substantial document collections and want repeatable processes rather than a general-purpose chatbot. The trade-off is an enterprise buying process, custom pricing, and licensing and usage terms that require careful scoping.

Overview

Founded in 2020 and headquartered in New York, Hebbia centers on Max, an AI assistant for finance-oriented work, and Matrix, which analyzes documents or companies at scale while maintaining traceability to findings. The product combines analysis with workflow automation: a firm can turn its own processes into agents and run skills and agents continuously to trigger workflows.

That combination is most compelling for organizations where an answer must be reviewable and a process must be repeatable. It is less naturally suited to an individual seeking a low-cost writing or search assistant, since Hebbia is sold as a paid institutional platform with custom commercial terms.

Key features

Finance and document analysis

Max supports deal analysis, financial modeling, and research. Its models include citations in every cell, can follow a firm’s formatting style, and are prepared for review. That cell-level traceability is a meaningful advantage for investment and advisory teams that need to check assumptions instead of accepting an opaque output.

Max can also turn analysis into branded presentations for team sharing. Over email, users can ask questions, request a presentation, or ask for meeting preparation, extending the assistant into an existing communication workflow rather than requiring every task to start in a separate interface.

Agents, integrations, and controls

Custom agents let firms encode internal processes and run them independently. Listed integrations include Snowflake, FactSet, PitchBook, S&P Global, Salesforce, SharePoint, Box, Dropbox, and Databricks. Guidepoint expert call transcripts require service access, so that source is not automatically part of every deployment.

Hebbia says documents, prompts, and outputs are not used to train its models or its model providers’ models. Customer data is stored in isolated environments; production access uses just-in-time controls, and Hebbia says it does not have direct access to customer data. Processing runs across the US and EU, with regional storage and inference and dedicated-tenant deployment available. Security materials cite ISO/IEC 42001:2023, SOC 2 Type 2, ISO 27001:2022, GDPR, CCPA, AES-256 encryption at rest, and TLS 1.2 or newer in transit.

Pricing

Hebbia is paid software with custom pricing; the Hebbia plan is offered by demo request. There is no free plan. That structure fits organizations budgeting for a governed, integrated deployment, but it prevents a small team from judging cost through a self-serve checkout.

A Core User License is assigned to one named individual and is not intended to be shared or pooled. Usage outside the agreed business scope may lead to throttling, suspension, or a required move to a higher tier. Buyers should therefore define expected users, data sources, and workload volume before signing, rather than treating the license as unlimited team access.

Platforms

Hebbia is available through web, iOS, and an API. Its October 2025 product update says the mobile app became available to customers in November 2025. A September 2026 listing describes a new API and MCP server. Deployment is cloud-based, with regional processing and dedicated-tenant options for organizations with stricter placement requirements.

Who it's for

Hebbia is a strong fit for finance, legal, consulting, and enterprise teams that need evidence-backed document work, branded outputs, and automated internal procedures. It is particularly well matched to firms already using the listed market-data, storage, CRM, and data-platform integrations.

Look elsewhere if you need transparent, low-cost pricing, a free tier, pooled seats, or a lightweight personal assistant. The named-user model, custom sales process, and possible service-access and usage constraints make it a deliberate enterprise purchase.

Pros and cons

Pros

• Citations in financial models: Every cell can carry supporting references, making review more practical for transaction and research work.
• Process automation: Custom agents and continuously running workflows can turn recurring firm procedures into operational systems.
• Enterprise data posture: Isolation, restricted production access, regional processing, dedicated tenants, and broad compliance coverage address governance concerns.
• Useful source connectivity: Integrations span major financial, business, storage, and data platforms.

Cons

• Custom pricing only: Prospective buyers cannot compare a published rate or start on a free plan.
• Named-user licensing: A Core User License cannot be shared or pooled, which can raise costs for broad, occasional access.
• Scope enforcement: Usage beyond agreed business terms may trigger throttling, suspension, or an upgrade.
• Service-gated source: Guidepoint transcripts require service access rather than being universally included.

Alternatives

AI Enterprise Search Software is a broader category to consider when your priority is enterprise search rather than Hebbia’s finance-focused modeling and workflow approach.

Korra is the better starting point for a freemium product with a free 100MB plan and wider platform coverage, including Android, desktop, self-hosted, and web options.

Guru suits organizations seeking an enterprise AI knowledge solution with solution engineering and knowledge architecture under custom investment.

Moveworks offers custom, scalable packages tailored to business requirements.

Dropbox Dash is worth choosing when a published team price and a free trial matter; Dash for Teams is $19.00 per month for up to 100 users.

Elastic Search AI fits teams wanting a free, self-managed Elastic Stack or usage-based serverless deployment.

Fess is a free, open-source option for self-hosted search.

GoSearch Analytics offers a $20.00-per-user-per-month Pro plan with private connectors, unlimited searches, and private agents.

PipesHub is a free, open-source, self-hosted choice with Docker deployment and a no-code agent builder.

Verdict

Choose Hebbia if your organization needs finance-oriented analysis with citations, connected enterprise data, and automatable firm workflows under a governed deployment. Look elsewhere if predictable self-serve pricing, shared access, or a free starting tier is more important than reviewable institutional automation.