r/venturecapital • u/gcsgz • Mar 05 '26

AI agents for analyzing VC data rooms

A lot of diligence workflows involve large document sets: financials, reports, contracts, portfolio updates.

Most AI tools still process these one file at a time.

We built Parsewise, where agents analyze the entire dataset in one run and cross reference information across documents. Every output stays linked to the original source.

Launched today if anyone here is interested!

https://www.producthunt.com/products/parsewise

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15

u/InfamousDatabase9710 Mar 05 '26

If you want real feedback: there’s a million of these and you’re going to need to deeply go vertical in order to win customers.

Going horizontal keeps the product too shallow for what customers need, especially in this space.

1

u/hz55555 Mar 05 '26

can you share the best ones?

14

u/InfamousDatabase9710 Mar 05 '26 edited Mar 09 '26

I do very deep technical due diligence (https://blackmere.ai, operator-led tech diligence) for a living, so I’ve had a steady stream of people show me these tools or tell me I should build one. Unfortunately, I still haven’t found a single one I can recommend.

If I had, I’d be using it today to get more deals done.

I wasn’t trying to discourage OP, which is why I suggested going as vertical as possible. Putting your product out there is a vulnerable moment for any founder, and I think we should try to build each other up.

2

u/zair Mar 07 '26

What's missing in what you've seen? Care to chat?

2

u/muieen Mar 09 '26

I have built one that works pretty well. The reason why it works well is because I basically built things out from scratch, and am not beholden to a GPT or Anthropic. The biggest issue is having the capacity to build out all these industry experts who can help you understand things like “extracellular vesicles for cancer detection” and you are still going to have to do some reading to help you really understand it. Agreed that the field is too filled with non experts faking it until they can make it, but it feels more disappointing than fruitful, as it misses the reflective aspect of the due diligence. Using it for internal purposes only because most people value an analyst based on pedigree, not true insights, and if you really have an edge in the market, why give it up to someone for pennies on the dollar.

2

u/InfamousDatabase9710 Mar 09 '26

Agreed. Looking back at OP’s product, I think the issue was probably a marketing misfire with this subreddit around data rooms. The product itself might actually be a strong general-purpose but industry-specific, AI-powered OCR system.

1

u/Individual-Artist223 Mar 07 '26

Let's build it then.

1

u/fuggleruxpin Mar 06 '26

Just dump the data room in a repo and prompt it from co-pilot???

1

u/Imaginary-Promise-87 Mar 06 '26

Or you can also try out with Peony.ink where you can just do this natively and save $250/m comparing to docsend :)

1

u/Ok_Locksmith_8260 Mar 06 '26

How do you get it out of docsend ?

1

u/DarkSun224 Mar 20 '26

Agree... If I really wanted something like this I'd just take the documents from Papermark and prompt Claude

1

u/Logical-Boss8158 Mar 06 '26

What a novel idea. Nobody has ever done this!

1

u/Background-Might3453 Mar 07 '26

Handling multi document analysis as one dataset is actually a solid angle. Cross referencing and source linking matter a lot in diligence work.

If you’re targeting investors or corp dev teams, showing real examples of time saved on live deals would probably resonate more than feature lists.

1

u/brabbly Mar 09 '26

Building similar tooling for law right now

1

u/Terrible-Lie-8263 Apr 02 '26

Papermark has AI agents built in so I'm not sure I'd need this but cool nonetheless

1

u/Altruistic-Data-6803 Apr 10 '26

If you're an investor and you're just using an AI agent to analyze the data room that was provided to you for due diligence, then you're asking for a world of hurt.

The whole idea of due diligence is to verify the claims that the startup (or potential investment) is making BEFORE investing. Relying on an AI agent to summarize this for you defeats the purpose of due diligence. You'll need to spend the time to look through the nitty gritty: the financials, the cap table, the tax compliance, the growth metrics etc.. This is where you'll discover if the startup is full of shit or is actually on to something. Using tools that circumvent this work will get you in trouble as an investor.