AI Diligence Overlay for Growth Equity

This shows Velvet winning as an overlay, not a rip and replace. Growth equity and private equity firms already live inside CRM and pipeline tools like Affinity, where teams track companies, contacts, meetings, and deal stages. Velvet plugs into that system of record, pulls the existing deal stream into its own workspace, then does the heavier work, reading decks, data rooms, call notes, and market data to help teams screen, compare, and write memos faster.

• The practical workflow is simple. Affinity keeps the pipeline organized, who met whom, which company is in diligence, what the next step is. Velvet sits on top of that and turns raw deal materials into structured fields, diligence outputs, and decision support, which is why it also fits firms outside classic VC.
  1 sacra 2 velvet
• This is the same pattern showing up across finance AI. Hebbia and Rogo are also sold as AI associates for high stakes workflows like diligence, research, and memo creation. The key product line is no longer just search, it is taking messy internal files and producing work products that analysts and partners can use immediately.
  4 openai 5 hebbia 6 sequoiacap
• It also explains the buyer mix. Smaller venture funds may want a fuller operating system because they lack research staff, while larger growth and PE shops often keep their incumbent CRM and add AI only at the diligence layer. That lowers switching cost and makes adoption easier inside established investment teams.
  1 sacra 2 velvet 3 sacra

The next step is deeper embedding into the investment stack. As firms get comfortable letting AI draft memos, compare companies, and surface network connections from CRM data, the winning products will become the decision layer that sits between pipeline software on the front end and investment committee decisions on the back end.