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Compare · Hebbia

Hebbia alternative: permission-aware search across every work app

Hebbia is one of the most capable AI tools in finance. Its Matrix product points teams at hundreds or thousands of long documents, credit agreements, filings, data rooms and premium financial datasets, and returns structured, fully traceable analysis in a spreadsheet-style grid. For investment, credit and legal diligence at scale, it is genuinely strong, and it is built, priced and sold as an enterprise, finance-desk tool.

or see the comparison ↓

One search · cited answers · permission-aware

Answer Console
Demo · sample data
Try
Sources

Ask your company anything

InSearch searches across Drive, Slack, Notion, Confluence, Gmail, Jira and Salesforce in one query and returns a written answer with citations, only ever from sources you're allowed to see.

Drive Slack Notion Confluence Gmail Jira Salesforce
↓ one clear, cited answer

Searching connected apps

Working

Answer

Only sources you have access to
Sources

Interactive demo · sample data, no app connected

Every answer cited to its source documents · permission-aware · never trains on your data

InSearch does a different job. Instead of deep analysis on one defined corpus, it is one permission-aware search across the everyday apps your whole company already works in: Drive, Slack, Notion, Confluence, Gmail, Jira and Salesforce. You ask a question in plain English and get a written answer with inline citations, scoped to exactly what each person is allowed to see, and never used to train a model. If most of your team simply needs to find the answer that is buried somewhere across your tools, that is the job InSearch is built for.

Hebbia is built for deep analysis over a defined document set, a different job from answering everyday questions across your stack, as deep document analysis versus enterprise search sets out. For the everyday case see enterprise search software and cited AI answers.

Hebbia is a deep document-analysis engine for finance and legal teams. InSearch is company-wide, permission-aware search that finds cited answers across the apps everyone already uses. They solve adjacent problems, so choose by whether you need heavyweight diligence on a corpus or fast answers across the whole workplace.

Side by side

Hebbia vs InSearch, honestly

A fair look at what each does well. Both are capable tools. Here is where they differ.

What matters InSearch Hebbia
Primary job One permission-aware search across every work app, for the whole company Deep multi-document analysis for finance and legal teams
What it searches Drive, Slack, Notion, Confluence, Gmail, Jira and Salesforce in one query Uploaded and synced documents, deal data rooms and premium financial datasets such as PitchBook, FactSet, S&P Capital IQ and ICE
Answer format A written answer with inline citations to the exact source Structured, fully traceable answers laid out in a spreadsheet-style grid
Depth vs breadth Breadth: fast answers across everyday knowledge, for everyone Depth: parallel agents reasoning across hundreds of long documents (a genuine strength)
Permission-aware Item-level source permissions enforced at query time, per person Enterprise access controls, built for defined project teams rather than org-wide self-serve
Pricing Transparent per seat, published on the site No published pricing; enterprise-only, custom, contact sales
Best suited for Any team that needs to find answers across its tools Investment, credit, private equity and legal teams doing heavy document diligence

Comparison reflects general, publicly understood positioning. Capabilities change, so check each product for the latest.

Why teams pick InSearch

One cited, permission-aware search across every app

Built for the whole company

Every employee can find cited answers across the apps they already use, not just a finance or legal desk running diligence on a document set.

Permission-aware by design

Item-level access controls inherited from each source and enforced at query time, so a company-wide rollout stays safe.

Never trains on your data

Your content answers your questions and is never used to train models, encrypted in transit and at rest under SOC 2 practices.

Good questions

Hebbia vs InSearch, answered

It depends on the job. Hebbia is built for deep, multi-document analysis in finance and legal. If instead you want one permission-aware search across everyday work apps like Drive, Slack, Notion, Confluence and Gmail that anyone in the company can use, InSearch is the better fit.
Hebbia is an AI document-analysis platform for finance and legal teams. Its Matrix product ingests large sets of documents, filings and financial datasets and returns structured, cited answers in a spreadsheet-style grid, aimed at diligence, credit and research workflows rather than everyday company-wide search.
Hebbia does not publish pricing. It is sold as an enterprise, sales-led product with custom contracts, so you request a quote. Any per-seat Hebbia price you find on a third-party site did not come from Hebbia, so treat those figures with care. InSearch publishes transparent per-seat pricing you can see up front.
Not quite. Enterprise search helps everyone in a company find answers across all their apps. Hebbia is closer to a deep analysis engine pointed at a specific document set, strongest in finance and legal. There is real overlap on cited answers over documents, but the jobs differ: breadth across the workplace versus depth on a corpus.

More comparisons

See how InSearch compares

vs GoSearch

GoSearch alternative

Cited, permission-aware answers across every app.

 vs Dust

Dust alternative

Search-first, with cited answers out of the box.

 vs Guru

Guru alternative

Live search across every app, not just a curated wiki.

 vs Amazon Kendra

Amazon Kendra alternative

Kendra is in maintenance mode. Here is where to land.

 vs Lucidworks

Lucidworks alternative

Workplace search without a Kubernetes cluster to run.

 vs Moveworks

Moveworks alternative

Now a ServiceNow product. Here is the independent option.

 vs Sinequa

Sinequa alternative

Built for the modern SaaS stack, not a two-year rollout.

 vs Atlassian Rovo

Atlassian Rovo alternative

For companies that are not only an Atlassian shop.

 vs Onyx

Onyx alternative

The same cited, permission-aware answers, fully managed and no-ops.

 vs Bloomfire

Bloomfire alternative

Search where work already lives, instead of curating a knowledge base.

 vs Amazon Q Business

Amazon Q Business alternative

Still open to new customers, and permission-aware by default.

 vs Gemini Enterprise

Gemini Enterprise alternative

Cross-app cited answers without a Google Cloud project to run.

 vs Google Agentspace

Google Agentspace alternative

Agentspace became Gemini Enterprise. Here is what that means for buyers.

 vs ServiceNow Otto

ServiceNow Otto alternative

Otto absorbed Now Assist and Moveworks. Here is the focused option.

 vs Microsoft Copilot Studio

Copilot Studio alternative

Build an agent, or just get the answer.

 vs SharePoint agents

SharePoint agents alternative

Twenty sources is a site bot. Company search is a different job.
See every use case

Find any answer at work with InSearch

One search across all your company apps, a clear cited answer, scoped to exactly what each person can see, and never trained on your data.

See pricing

One search across every app · cited answers · permission-aware · never trains on your data