Klypp
Klypp turns fragmented private equity data into a unified queryable intelligence layer.
PaidProductivity
Visit website Free to browse · updated 2026-06-22
What is Klypp?
The platform captures interactions from calls, meetings, and documents while linking them to CRM entries from systems like DealCloud or Affinity. This creates a comprehensive graph of companies, bankers, and founders that grows over time with each new interaction. Users can query the combined data in plain language to retrieve context from past deals or related activities. Klypp connects accounts from email providers, CRM platforms, and data rooms through a single authentication process. It records both online and offline exchanges automatically where possible and allows manual notes for unrecorded meetings. The system maintains end-to-end encryption and ensures that firm data remains private without being used for model training. Over months of use the accumulated knowledge forms institutional memory that persists beyond individual team members. Pricing follows an AUM-based model with per-seat fees and design partner options for early adopters. This approach helps firms reduce time spent reconstructing deal context from scattered sources.
Key features
Conversation transcription and analysis from calls and meetings
Document querying from data rooms and internal storage
CRM integration with DealCloud and Affinity
Identity graphs for companies, bankers, and founders
Natural language search across all connected data
End-to-end encryption with data never used for model training
Integration with Google/Microsoft accounts and existing tools
What you can use Klypp for
Deal Intelligence Aggregation
Klypp captures conversations from calls and meetings, documents from data rooms, and CRM records to create a unified searchable layer for private equity firms.
Natural Language Data Querying
Users can perform natural language searches across connected conversations, documents, and CRM data to retrieve relevant deal insights without manual reconstruction.
Identity Graph Building
The platform constructs identity graphs for companies, bankers, and founders by linking interactions, documents, and CRM entries over time.
How to use Klypp
- 1Connect your Google or Microsoft account
- 2Authenticate your CRM such as DealCloud or Affinity
- 3Link data rooms and internal storage
- 4Enable automatic capture of calls and meetings
- 5Use natural language search to query the intelligence layer
Klypp pricing
Pricing model: Paid. Plan details are indicative — check the site for current prices.
AUM-tiered Platform
Custom
- AUM-tiered platform fee
- Per-seat pricing
- Design partner rates available
Editor's verdict
Pros
- +Connects scattered intelligence from CRM, documents, and conversations into one queryable layer
- +Compounds institutional memory over time without replacing existing stack
- +Captures online and offline interactions automatically
Cons
- –Targeted specifically at private equity firms
- –No public pricing details available
- –Manual notes required for unrecorded meetings
Our take: Klypp is a solid productivity choice. It's valued for connects scattered intelligence from crm, documents, and conversations into one queryable layer and compounds institutional memory over time without replacing existing stack. The main trade-off is targeted specifically at private equity firms. Best when you need reliable, professional output.
Frequently asked questions
Everything including calls across Zoom, Teams, GMeet, phone, and in-person; documents from data rooms and internal storage; CRM records from DealCloud or Affinity; emails; and market data, all in one graph.
Summary
Klypp is a solid productivity choice. It's valued for connects scattered intelligence from crm, documents, and conversations into one queryable layer and compounds institutional memory over time without replacing existing stack. The main trade-off is targeted specifically at private equity firms. Best when you need reliable, professional output.
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