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.
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
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Curated long-form picks on this trend — podcasts, videos, and analysis, by seniority.
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