Cap Orbit vs Hebbia: Full Deal Execution vs Document Research

The short answer

A research grid is not a deal team.

Hebbia’s core surface is the Matrix: documents down one side, questions across the top, a cited answer in every cell. It is built to read at scale, across CIMs, credit agreements, filings, data rooms, and expert call transcripts, for private equity, credit, and legal teams at once. The output is research: synthesized, sourced, fast.

A commercial real estate deal asks for something else. The team has to turn broker materials into a model the committee can interrogate, a memo in the house voice, a closing that ties to the contract, and a hold tracked against the original underwrite. Cap Orbit’s terminal has the run of the deal file. It reads across every file in the deal at once, the offering memo, the rent roll buried in a workbook tab, the T-12, the loan agreement, and it creates and edits the real work product: Excel workbooks with live formulas, Word memos in the house format, decks, bound PDFs. One instruction can read the documents, normalize the statement, build the model, and stage the memo, with the analyst approving each consequential step. It is the difference between asking a question and getting back the workbook, memo, and record.

Credit where due

Where Hebbia genuinely wins.

The scale is real. Hebbia has processed over 1.5 billion pages, handles around 200,000 prompts a day, and counts more than a third of the world’s largest asset managers by assets under management as customers, with KKR, MetLife, and Centerview Partners among its named customers. If the job is putting a vast corpus under one question and getting cited answers back, that is the job it does.

On data, the two start from different places. Cap Orbit works exactly like a real deal folder: drop any document in any format onto the deal, the broker materials, the lender’s PDF, a scanned exhibit, a workbook with the rent roll buried in a tab, and it is read, filed, and put to work. What it does not carry is a third-party data subscription. Hebbia connects to FactSet, S&P Capital IQ, PitchBook, Preqin, Bloomberg, Third Bridge expert transcripts, ICE, and Fitch Solutions, and pulls deal contents from SS&C Intralinks data rooms. A multi-strategy firm whose teams live on those feeds will weigh that.

• Scale: questions answered across thousands of documents in one pass
• Data reach: premium market data and expert call transcripts alongside your own documents
• Breadth: one research surface serving private equity, credit, hedge fund, banking, and legal teams
• Slide output: Matrix analysis converted directly into PowerPoint and Google Slides

The model

Cap Orbit shows the math.

Hebbia’s model generation produces an Excel export from the documents it has analyzed. The platform itself does not evaluate formulas; the model leaves the system the moment it exists, and everything after that happens by hand.

Cap Orbit’s model is the working object. The rent roll comes out of whatever the broker sent, unit by unit, every figure traced to file, sheet, and row and footed to the document’s own totals. The T-12 normalizes onto a standard expense set with an NOI bridge. Assumptions move one driver at a time, proposed against current with a one-line rationale, and nothing writes into the model until the analyst accepts. The result is a genuine Excel workbook with live formulas, Base, Upside, and Downside re-priced off one switch, and recalculation checks run before delivery.

Past the model, the lifecycle keeps going. The memo reads the model’s computed cells, so prose and workbook cannot drift. Closing reconciles the settlement statement against the contract, the loan, and the underwrite, and trues the going-in basis to what actually closed. Asset management closes each period on an append-only record against budget and the original underwrite. As of mid-2026, Hebbia’s public materials describe neither job: no closing reconciliation, no property-level record of the hold.

The audit chain

Claim to source, or claim to formula to source.

Hebbia links every cell in a Matrix back to the document that produced it, and for research that chain is what a reviewer needs: here is the claim, here is the page.

An underwrite asks a harder question. When the committee pushes on the 7.9% debt yield, which page is not an answer; the question is which formula, on which inputs, from which document. Cap Orbit keeps that chain whole: the figure in the memo comes from a computed cell, the cell’s formula runs on extracted inputs, and each input traces to the file, sheet, and row it came from. One chain has two links. The other shows the math in the middle.

The decision

Hebbia for the reading room, Cap Orbit for the deal team.

If your firm reads for a living, across strategies, across thousands of documents, with premium data and expert calls in the mix, Hebbia covers that reading work, and covers it well.

If your team underwrites, closes, and holds commercial real estate, buy the team that hands the work back done: the source-traced extract, the live model the committee can interrogate, the memo in the house voice, the reconciled closing, the period-by-period record of the hold, every consequential step approved by your analyst. That is Cap Orbit’s whole job, and it makes no pursue-or-pass call along the way; the decision stays with your committee.

Some firms will run both, and that is a reasonable answer: the credit and private equity teams reading in Hebbia while the real assets team executes in Cap Orbit. The wrong answer is expecting either one to do the other’s job.