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Klypp
Building Decision Intelligence Layer for Private Equity Firm
PE firms run on 6+ disconnected systems. The CIM is in Datasite. The pipeline is in DealCloud. What the CFO said on last week's call is in someone's head. Klypp connects all of it, data rooms, CRMs, documents, portfolio systems and live conversations into one PE-specific knowledge graph, deployed in the firm's own cloud. Ask any question. Get one cited answer drawn from every source. Including the ones that were never written down.
We built this because I spent two years building AI systems for a US private equity firm and watched the same thing happen on every deal.
The firm had the answer. It was in the data room, in DealCloud, in the calls the partners had last month. But nobody could find it fast enough because the systems didn't talk to each other, and the most important context was never written down in the first place.
Associates were spending 12+ hours rebuilding timelines the firm had already generated organically. Partners walked into investment committee meetings with a fraction of what the firm actually knew.
So we built the layer that connects everything documents, CRMs, data rooms, portfolio systems and the one source nobody else captures: the firm's own conversations.
One question. One cited answer. Across every source. Deployed in the firm's own cloud.
Product is live. We're onboarding our first pilot firms now.
Would love your feedback and if you work in PE or know someone who does, I'd especially love to hear whether this matches the pain you've seen.
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About Klypp on Product Hunt
“Building Decision Intelligence Layer for Private Equity Firm”
Klypp was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #160 on the daily leaderboard. PE firms run on 6+ disconnected systems. The CIM is in Datasite. The pipeline is in DealCloud. What the CFO said on last week's call is in someone's head. Klypp connects all of it, data rooms, CRMs, documents, portfolio systems and live conversations into one PE-specific knowledge graph, deployed in the firm's own cloud. Ask any question. Get one cited answer drawn from every source. Including the ones that were never written down.
Klypp was featured in Venture Capital (49.5k followers), Artificial Intelligence (473.1k followers) and Tech (627.5k followers) on Product Hunt. Together, these topics include over 273.2k products, making this a competitive space to launch in.
Who hunted Klypp?
Klypp was hunted by Sourav Dhiman. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Sourav Dhiman
Hey PH 👋
I'm Sourav, co-founder of Klypp.
We built this because I spent two years building AI systems for a US private equity firm and watched the same thing happen on every deal.
The firm had the answer. It was in the data room, in DealCloud, in the calls the partners had last month. But nobody could find it fast enough because the systems didn't talk to each other, and the most important context was never written down in the first place.
Associates were spending 12+ hours rebuilding timelines the firm had already generated organically. Partners walked into investment committee meetings with a fraction of what the firm actually knew.
So we built the layer that connects everything documents, CRMs, data rooms, portfolio systems and the one source nobody else captures: the firm's own conversations.
One question. One cited answer. Across every source. Deployed in the firm's own cloud.
Product is live. We're onboarding our first pilot firms now.
Would love your feedback and if you work in PE or know someone who does, I'd especially love to hear whether this matches the pain you've seen.
Sourav
Co-founder & CTO