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Your firm already has the answers.Now your AI can find them.

DealDeploy reads every deck, model, data room and call note your firm has, before anyone asks. Claude spends its time on analysis instead of searching SharePoint.

The right answer in 34 seconds

Claude on its own took three and a half minutes, spent four times as much, and got it wrong. Same question from a portfolio review, same model. The timings are real. Only the names are changed.

Claude with DealDeploy answered correctly in 34 seconds, using 6 tool calls, 89 thousand tokens and 30 cents. Claude on its own took 3 minutes 35 seconds, 12 tool calls, 708 thousand tokens and 1 dollar 27, and missed the 2024 figure.

Claude with DealDeploy

Correct, matches the IC deck

Were the top 3 customers 50% of ARR when we invested in Halyard in 2024?

Search documents that mention Halyard

80 documents, newest first

1s

Search passages on Halyard customer concentration

30 passages, in both IC decks

<1s

Read Commercial IC vFinal.pdf

Page 18: top 3 customer tables

<1s

and 3 more steps

Roughly, yes. The top 3 were 46% of 2023 ARR and 53% of 2024 committed ARR, from page 18 of the final IC deck.

Claude on its own

Wrong, 2024 was 53%

Were the top 3 customers 50% of ARR when we invested in Halyard in 2024?

Walk folder Portfolio/Halyard

356 files listed

18s

Download Halyard Commercial IC vFinal.pdf

Saved as a binary file, no text

2s

Unzip and read Halyard Commercial IC vFinal.pptx

29 slides, customer table is an embedded chart

4s

and 9 more steps

No. The deal materials put the top 3 customers at about 45% of ARR, not 50%. The customer table is a chart I couldn’t read, so I haven’t checked it.

Context enables the full promise of AI

When Claude reads the right page first, it spends less to get there. Spending less means the answer comes back in seconds. And an answer that cites your own IC deck is one your team can act on.

Firms putting their collective knowledge to work with DealDeploy

Multi-billion dollar private equity firm

Portfolio questions get answered from the final IC deck, not a hunt through SharePoint. Asked whether a company’s top three customers were half of ARR, DealDeploy found both figures on page 18 in 34 seconds. Claude on its own took more than three minutes and missed the 2024 number. When a banker posts a data room update, revenue by segment is redrawn in about a minute.

Healthcare buyout fund I

One deal team ran a live process through DealDeploy, first call to IC, in a week: about thirty conversations from nearly the whole team. The advisor list, an NDA joinder drafted from a prior deal, every expert call on the company, even the ones with the name misspelled. A new IC slide built from this week’s expert calls, in the format of an earlier deck, takes about three minutes.

Available to every agent via MCP

There is no setup for the user. Every conversation with your AI is equipped with the firm’s collective knowledge. Manual context gathering is over.

Secure data sovereignty

DealDeploy is the secure way for AI to reach your firm’s most sensitive information. It stays encrypted, private to your firm, and entirely yours. Your files are never used to train models, and only your people can reach them.

Give Claude your whole firm.Then ask it why you passed.

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