Success Story
How a VC evaluates twice as many deals without expanding the team
Sector:
Venture Capital
Category:
AI Automation
Location:
Madrid, Spain
Zubi Capital was receiving more pitch decks than its team could analyze. They were missing opportunities due to overload, not a lack of judgment. We built a system that automatically reads, evaluates, and classifies each deck, reducing due diligence time per deal from 118 hours to less than 35 hours, without sacrificing depth or adding headcount.
−70%
Screening time per deal (118 h → 35 h)
+200%
Response speed to received decks
+40%
More decks processed without expanding the team
Challenge
An average VC spends 118 hours over ~83 days to complete due diligence for each investment. When the inbound volume exceeds the team's capacity, the bottleneck isn't investment criteria: it's time.
The team received decks through three different channels—a dedicated form, emails to unmonitored inboxes, and unstructured shared documents—and none of these flows synced with the CRM. Each evaluation depended on who had the clearest schedule that day.
The result: promising deals discarded due to overload, inconsistent evaluations among analysts, and a growing volume that the team couldn't absorb without hiring. To review 10 deals per week with the depth required for a €50M ticket, they would have needed an additional 1.5 FTEs just to verify that each startup was truthful about its product.
Solution
We designed a modular system that integrates with the team's existing workflows, requiring no tool changes or learning curves.
Layer 1 – Ingestion and pre-filtering:
- Form with conditional logic (Typeform) that applies investment policy filters: European geography, SDG alignment, healthcare sector
- Direct data dump to CRM (Pipedrive) without manual steps
- Automatic classification into Google Drive folders: Accepted / Failed from the first filter
Layer 2 – Intelligent deck analysis:
- Detection of new documents in Drive via App Scripts and restructuring with PDF.co API
- OCR and content extraction with Google Document AI
- Scoring across six ESG categories—strategy, team, market, financial viability, competitive advantage, documentation—with a 0–5 evaluation per question and an acceptance threshold of 36 out of 75 points
- Automatic report per deck with risk alerts and weak points generated via OpenAI
Layer 3 – Visibility and traceability:
- Google Sheets dashboard with total scoring, category results, and details for each question
- Final classification into Pass or Failed folders and data transfer to CRM
- Exception tracking to manage process failures without manual intervention
Your next big deal shouldn't get lost in an inbox
Impact
The team stopped reading decks and started making decisions. Every incoming pitch now arrives with a score, risk summary, and classification before anyone even opens it. Investment criteria don't disappear; they're applied where they matter most.
Key results:
- 70% reduction in screening time: from 118 h to less than 35 h per deal
- More than double the speed in responding to received decks (+200%)
- 40% more deals processed without expanding the team or changing tools
- Consistent evaluations regardless of volume or analyst on duty
- Zero information loss between intake channels and CRM
Dealflow Intelligence
Most funds miss out on good deals due to capacity issues, not a lack of judgment. Too much volume, too many channels, too little time to get to what matters.
Dealflow Intelligence is the solution we built to solve this: a system that automatically captures, analyzes, and scores every opportunity, so your team only invests time in deals that truly deserve a call.
Want to see it working with your current workflow?
Let's talk.