AI Deal Flow Agent for VC Fund
How we built an AI-powered screening system that analyzes 300+ startup applications monthly, scores opportunities, and alerts the team to high-potential deals instantly.
About the Fund
Our client is an established venture capital fund investing in Pre-Seed through Series B rounds across multiple sectors. With a strong deal flow reputation, they receive hundreds of startup applications every month from founders worldwide.
Their investment team needed to balance thorough due diligence with speed - in a competitive market where the best deals close quickly, being slow meant missing out on portfolio-defining opportunities.
Drowning in applications, missing the best deals
The fund was receiving over 300 startup applications per month. Their small team simply couldn't process this volume fast enough - and the consequences were real.
- Manual screening took weeks, causing promising startups to close with competitors
- Inconsistent evaluation criteria across different team members
- High-potential deals buried in the backlog, discovered too late
- Team spending 80% of time on initial screening vs. actual due diligence
Never miss a deal
again
We built an AI-powered deal flow system that captures, analyzes, scores, and surfaces the best opportunities - automatically.
Comprehensive Intake Form
A detailed submission form capturing founder details, startup information, traction metrics, pitch deck uploads, and LinkedIn profiles.
AI-Powered Analysis
The AI automatically analyzes all submitted materials against the VC's specific screening criteria and investment thesis.
Founder Background Check
Deep analysis of founder backgrounds, previous ventures, LinkedIn profiles, and track record to assess team strength.
Red Flag Detection
Automated identification of potential concerns - unrealistic valuations, market size issues, competitive threats, or inconsistencies.
Startup Scoring System
Each application receives a comprehensive rating score based on team, market, traction, and fit with investment criteria.
Instant Team Alerts
When a strong match is identified, the investment team is automatically notified with a complete analysis summary.
Your investment thesis,
encoded in AI.
The system was trained on the fund's specific criteria - stage preferences, sector focus, check size, valuation expectations, and what makes a founding team stand out. Every application is evaluated through this lens.
Criteria Definition
We mapped out the VC's exact screening criteria, investment thesis, check sizes, and stage preferences to train the AI.
Intake System Build
Created a comprehensive application form that captures all data points needed for thorough evaluation.
AI Training
Trained the analysis engine on past deals, portfolio companies, and successful investment patterns.
Alert Integration
Built automated notification workflows to instantly alert the team when high-potential startups apply.
First to the best deals,
every time
"We went from losing deals because we were too slow, to being the first VC to reach out to high-potential founders. The AI saved us hundreds of hours and helped us close 3x more deals this year."
Every application is analyzed within minutes, not weeks - with comprehensive scoring and insights
No more deals falling through the cracks - every application gets thorough evaluation
Team now spends 80% of time on due diligence and founder meetings, not initial screening