Choose Hebbia if
You want an answer across a very large document set, you have analysts who drive the grid, and you would rather they keep driving it.
Starch vs Hebbia
Hebbia finds the answer.
We run the process that needed it.
Hebbia is the strongest cited-analysis product we have seen in finance: point it at a large document set, trace every answer to source, then run the process around it.
Facts about Hebbia checked
Choose Starch if
You want a recurring desk process built and running, you have your own precedent and approval rules, and you would rather we kept it current.
Analysis is one step. This is where each product sits.
| Axis | Starch | Hebbia |
|---|---|---|
| What it is | A finished, operated workflow for one named desk. | A document-analysis workspace. Its Matrix grid is one row per company, one column per analytical dimension. |
| The general workspace | Included. Agents, automations and apps, with a library and an inbox. | Is the product. Built for analysis over large document sets. |
| Built for | Coverage groups and deal teams: public finance, M&A, financial institutions. | Investment banks, asset managers, private credit and law firms. |
| The core job | Running a recurring desk process end to end. | Answering a question across a very large document set, with citations. |
| How a desk uses it | The workflow runs; the banker reviews and approves the output. | An analyst poses the questions and drives the grid. |
| Recurring execution | Is the product. Workflows run on a cadence. | Newer. Hebbia's March 2026 release announced Scheduled Agents. |
| Whose knowledge base | Ours to keep current, from your precedent and systems. | Yours to supply. Hebbia connects to FactSet, EDGAR and firm systems. |
| How it is priced | Scoped to the workflow and the desks it runs on. A build, then the running of it. | Not published. Hebbia's pricing page is a demo request. |
Deliberately absent: customer counts and named logos, because this table is about the shape of the work.
Where Hebbia is genuinely ahead.
Citations you can defend
Every claim resolves to the document it came from, which matters when work gets checked.
Scale of document sets
The grid is built for questions that span thousands of documents at once.
Depth of data integrations
It connects to FactSet, S&P Capital IQ, PitchBook, Preqin, EDGAR and firm systems.
After the answer
Four questions a comparison leaves open.
Buyers ask us the same four things once the reading is done. Here they are answered the way we answer them in a room, including the last one, where we point somewhere else.
What onboarding actually involves
Onboarding is done with you, not handed to you. We sit with the team, learn how the work is done today and which processes repeat, and work out whether there is a fit. If there is not one, we say so and stop.
Where there is a fit, we build the process against how the team already works, shape it to their formats, and put it live inside their own environment, with their security requirements met. The same engineers stay on it after go-live. Maintenance, changes and breakages are ours to handle, so the team's job is to use the result and approve it.
Where your data sits
Everything lives inside the customer's own tenant. Our access is narrow on purpose, limited to what the work needs, and it is granted case by case rather than held open.
A typical view for us is a redacted log, not the underlying file. Because nothing moves, the controls the firm already has keep applying: review, retention and permissions stay where they were set.
Does it differ from desk to desk?
Very little. The way we start, the way something goes live and the way we look after a customer are close to identical from one desk to the next.
The product is what changes. A public finance team and an M&A team do different work, so they get different builds. The service around those builds does not change.
When not to pick us
If the process you need is not one we already run, and it does not run on the same machinery as the ones we do, we will tell you it is not a fit. We would rather turn work down than take on something we would not stand behind.
The other case is a week that is mostly drafting documents and looking things up. A general AI subscription covers that, and that is what we will tell you. We run one inside the Workspace as well, and it is not where we are strongest. Where the work is retrieval and analysis across a document set you already hold, Hebbia is built for exactly that, so a Starch build would be the wrong call.
Asked about Hebbia
Is Starch a Hebbia alternative?
For some jobs. If you need questions asked across a large document set, Hebbia is built for that. If you need a recurring desk process run end to end, that is what Starch does.
Can Starch read and cite documents the way Hebbia does?
Yes. The AI Workspace covers document analysis with sourcing. The honest difference is scale: Hebbia is built for thousands of documents at once.
Does Hebbia run workflows on its own?
It has Scheduled Agents, announced in 2026, so recurring execution exists. As of Hebbia's March 2026 release notes, the rest of that release was analyst-driven. Confirm current details with Hebbia.
Which is better for an RFP or a data room?
If the question is what the document says, Hebbia's cited analysis is strong. If it is who owns the response, what is missing, and what needs approval before it goes out, that is a workflow Starch builds.
What does Hebbia cost?
Hebbia does not publish pricing. Their pricing page asks for a demo rather than listing tiers. Ask them directly.
See it run
The answer is the easy part.
The process around it is the work.
Show us the process your desk repeats monthly. We will show you the finished version, and who runs it.
Book a demoSources and methodChecked 2026-09-16
Everything stated about Hebbia on this page comes from the material below, checked on 2026-09-16. Pricing and product detail change; confirm on their site before deciding.
- Hebbiawhat Hebbia is and who it is built for
- Hebbia: productthe Matrix grid, integrations and citations
- Hebbia: Matrix 2.0current product shape and indexing support
- Hebbia: the disclosure, March 2026scheduled agents and the rest of that release
- Hebbia: pricingwhat Hebbia publishes about price
Hebbia is a trademark of its owner. Starch is not affiliated with, endorsed by or partnered with Hebbia. Statements about Hebbia on this page come from Hebbia's own public materials on the date shown and may since have changed; confirm on Hebbia's site before deciding. Nothing here describes what Hebbia cannot do.