Arch Brings Criteria-Driven Screening Into the Diligence Layer

VC diligence is becoming faster and more systematic as AI tools screen deals against firm-specific criteria while keeping every finding traceable to the source.

Updated

What is this trend?

AI tools are moving VC screening into the diligence layer by testing deals against a fund’s own criteria and linking every output back to source documents.

  • Screening is shifting from manual review to software-mediated, criteria-based checks.
  • Source-linked outputs preserve auditability while speeding up first-pass diligence.
  • Firms with crisp investment rules can operationalize them faster than peers.
  • The bottleneck is moving from document handling to yes/no decision quality.
  • Early users report up to 50% less diligence time per deal.

What’s the latest?

Arch launched an AI-powered Investment Research tool for pre-investment diligence that ingests offering materials, extracts key terms, links outputs back to source documents, and tests deals against a firm’s own investme

How it developed

  1. Software diligence, AI-native CRM, and blockbuster VC exits reshape career advantage

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