Cap Orbit vs Google Gemini: The Deal vs the Suite

The short answer

Office work and deal work.

Gemini in 2026 is two products wearing one name. The one most firms mean is the AI woven through Gmail, Docs, Sheets, and Meet, included in paid Workspace plans since January 2025. The other is the Gemini Enterprise Agent Platform, a separate Google Cloud product for technology teams that build their own AI agents. Both are credible at what they do. Neither has a concept of a deal.

Keep the deal’s documents, model, memos, and history in one place. Your team and the terminal edit them there, building on the same record from first look through committee, closing, and ownership.

Credit where due

Where Gemini holds its ground.

If your firm already runs on Google, the line item is already paid. Google folded Gemini into the paid Workspace tiers in January 2025, so every employee has AI inside the tools they open every morning, with no rollout to plan.

It covers the suite’s own work: mail drafted and tidied, notes taken in Meet, a folder of documents read into a briefing in NotebookLM. Customer data is not used to train models outside your domain, and the Workspace controls have years of enterprise use behind them. That is Gemini’s lane, and it is a defined one: everyday office work inside Google’s own apps. None of it reaches the deal file.

• Bundled: included in paid Workspace plans since January 2025, no separate purchase to make
• Everyday strengths: mail drafting, meeting notes in Meet, multi-document reading in NotebookLM
• Reach: everyone in the firm gets it, inside tools they already know

The gaps

Where it stops for a deal team.

Institutional underwriting lives in Excel, and that is the first wall. Gemini’s spreadsheet work lives in Google Sheets, and on complex spreadsheet generation there, Google’s own launch material reports a 70.48% success rate: a candid number, and not one a team stakes an underwrite on. Cap Orbit works the firm’s existing Excel workbooks directly, every cell editable, formulas included.

The second wall is the shape of the work. Workspace plans have carried published usage limits, including a 500-use monthly cap on Help me write in Gmail and Docs and, on some plans, up to 100 prompts a day, a budget an active deal team can spend in one diligence week. And nothing in Google’s public materials describes a shared deal record: no file that carries from screening to closing, no memo in a house voice, no settlement reconciliation, no record of the asset after it closes. Every prompt meets the deal as a stranger.

The deal work

Your deal, built in your files.

Upload broker materials or link a SharePoint, OneDrive, Dropbox, or Box folder. File Outlook attachments into the deal. The terminal reads only the linked folders, with figures traced to file, sheet, and row. It carries no market-data subscription. Watch it browse when needed and step in for sign-ins or paywalls. One instruction can normalize statements, build the model, and prepare the memo, with approval at consequential steps. Use a house model or your template, with live formulas, scenario switching, and checks against house standards.

Change a rent assumption and watch returns move. Add a row and the formulas follow. Two analysts can edit together and undo terminal revisions. Draft screening, IC, or credit memos for the decision at hand, using model figures. Open the draft with changes tracked under your name.

Closing ties the settlement statement to what was contracted, financed, and underwritten, and trues the going-in basis. Each phase ends with a timestamped snapshot frozen in place, and the working model keeps moving. Asset management closes each period against budget and underwrite on a tracker from the house catalog. The portfolio read sums the book from locked deal summaries. Deal memory carries the facts, parties, and decisions to the next session and the next teammate. The investment decision stays with your analysts at every step.

Security posture

Compare the data controls.

Google’s posture deserves a straight read. Workspace data is covered by a commitment not to train on customer content outside your domain, and the controls have years of enterprise use behind them. For mail and documents, that is a defensible answer.

Each Cap Orbit firm has its own database and storage, with requests checked against the firm’s sign-in. Customer files, prompts, and outputs never train models. Enterprise runs in your AWS account with single sign-on and keys you hold. Your firm controls audit and revocation.