Comparison

AlphaSense vs Hebbia

Answer in brief

Pick AlphaSense if your work depends on paywalled broker research, earnings transcripts and expert calls, and you want a mature enterprise search product. Pick Hebbia if your analysts need to read and compare large sets of documents at once, including their own files, through an agentic grid. Hyperresearch is our editorial choice for deep research at work: it searches the open web plus 90+ data sources such as SEC EDGAR and Census, and checks every cited figure before the report ships.

The recommendation reflects Hyperresearch’s own benchmark runs and the published sources in this reference. Hyperresearch is our product. This is not a hands-on test of every tool.

Side by side

	AlphaSense	Hebbia
Pricing	Quote only. Third-party contract estimates vary widely.	Quote only. Not published. Third-party estimates exist.
What it does	Searches premium financial and business documents, with generative search and a Deep Research agent.	Analyzes large document sets. Its Matrix grid compares sources across many companies.
Sources and coverage	Paid corpus of 500M+ business and financial documents, including equity research, transcripts and expert interviews.	Filings, transcripts, Capital IQ, PitchBook, FactSet and connected internal storage.
Citations and verification	Clickable citations link to the underlying documents.	Matrix samples show a Source Documents column and a Basis column for each figure.
API and MCP	API and MCP for contract customers.	Headless Hebbia API and MCP server, with access through sales.
Limits	AI features run on credits. Limits are set by contract.	Enterprise seat model. Access depends on the contract.
Best for	Investment and strategy teams that need broker research and transcripts.	Deal teams that work through many filings and internal files together.

What each one searches

AlphaSense is a search product over a large licensed library. Its corpus includes equity research, earnings call transcripts, filings and expert interviews. Much of that material is paywalled, so you could not reproduce the same results from the open web.

Hebbia focuses on reading. You bring the documents, from filings to internal files, and its agents work through them in parallel. Its Matrix grid puts many sources in rows and questions in columns, which suits comparing a set of companies rather than searching a library.

Citations and checking

AlphaSense links each Deep Research output to granular citations in the underlying documents, so an analyst can open the original note or transcript. A fact-checking feature is not described in its public material.

Hebbia shows a source column and a basis column for each figure in its Matrix samples, which is useful for tracing a number. Its own material describes its citation method in less detail, so ask for a sample on your own documents before you rely on it.

Buying and budgeting

Neither company publishes prices. AlphaSense lists a market intelligence plan and an enterprise plan with usage-based AI credits and API access. A third-party data set reports a median contract near $18,750 a year, which is an estimate and not a quote.

Hebbia works through custom enterprise contracts. Third-party estimates say its cost is roughly in line with an annual Bloomberg Terminal subscription. Both need a sales conversation, so set a budget before you start the call.

Choose AlphaSense or Hebbia?

Choose AlphaSense when

Your analysts need broker research, earnings transcripts and expert calls.
You want clickable citations that open the original paywalled document.
You need a mature product with a large existing user base.

Choose Hebbia when

Your team works across many filings and internal files at the same time.
You want a grid that compares many companies against the same questions.
You want an agentic workflow over your own document set.

Where Hyperresearch fits

Hyperresearch is our editorial pick for sourced research reports built from public data. AlphaSense and Hebbia both sit in the paid enterprise tier and suit firms with licensed content and procurement budgets, so they are not direct substitutes for a report service.

Questions & answers

Which is better for investment research, AlphaSense or Hebbia?

AlphaSense is the stronger choice for searching paywalled broker research, transcripts and expert calls. Hebbia is better for reading and comparing a large set of documents, including your own, in a grid. Many teams compare them on their own documents during a trial before they choose.

Do AlphaSense and Hebbia publish prices?

No. Both sell through quotes. Third-party estimates exist, but they are not official prices. Ask each vendor for a quote based on your seat count and the data sources you need.

Sources for this entry

Vendor descriptions are attributed to the vendor. Prices change; confirm with each vendor.

Continue this reading path

Cite this entry

Best AI for Deep Research. “AlphaSense vs Hebbia.” Hyperresearch reference, reviewed 8 November 2026.
https://bestaifordeepresearch.com/compare/alphasense-vs-hebbia/