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Learn how AI-powered research that deepens at each pipeline stage can transform the way your VC firm evaluates deals.

Every deal that enters your pipeline needs research. The question is: how much, and when? Most VC firms either do too much research too early (wasting time on deals they'll pass on) or too little research too late (making investment decisions without adequate context). Progressive deal enrichment solves both problems.
Progressive deal enrichment is a research methodology where the depth of AI-powered analysis increases as a deal advances through your pipeline stages. Think of it as a funnel—not just for deals, but for the research effort applied to each one.
At the top of the funnel, when a deal first enters your pipeline, AI provides a lightweight but useful overview: what the company does, who the founders are, what stage they're at, and whether they broadly fit your thesis. This takes seconds, not hours, and gives you enough context to make a quick "worth investigating" or "clear pass" decision.
Initial Screen: AI extracts basic company information from the pitch email or deck. You get a structured snapshot: company name, founders, sector, stage, and a one-paragraph summary. This is enough to decide whether the deal merits a closer look.
Deep Dive: For deals that pass the initial screen, AI conducts more thorough research. This includes market sizing estimates, competitive landscape mapping (who else is in this space and how they're positioned), founder background analysis (previous companies, relevant experience, network), and recent press or funding activity.
IC Preparation: Deals heading to your investment committee get the full treatment. AI compiles a comprehensive research package including detailed competitive analysis, customer and market references, financial benchmarking against comparable companies, and a thesis alignment scorecard. This package would typically take an analyst 4-8 hours to assemble manually.
The "progressive" part is crucial. If you applied deep-dive research to every inbound deal, you'd spend your entire budget on research for companies you'll never invest in. If you skip research entirely until IC stage, you'll make poor screening decisions and waste time taking bad deals too far through the pipeline.
Progressive enrichment gives you the right amount of information at the right time. It's efficient without being superficial, and thorough without being wasteful.
What makes progressive enrichment practical is AI. A human analyst can't provide even a basic overview for 200 inbound deals per month—but AI can. And when those 200 deals get filtered down to 30 that deserve a deep dive, AI can handle that too, in a fraction of the time it would take a human researcher.
The result is a research process that scales with your deal volume without scaling your team. Your analysts spend their time on judgment calls and relationship building, not on Googling company backgrounds and counting competitors.

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