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For VCs & Institutions

Build AI VC Judges Tailored to Your Thesis

Create custom AI VC agents with your investment criteria, evaluation priorities, and sector expertise. Build customizable VC avatars that screen pitches exactly how you would—at scale.

What Are AI VC Agents?

AI VC Agents are personalized AI judges that represent your unique investment philosophy. They're not generic evaluators—they're trained on your criteria, focus areas, and evaluation priorities to screen startups exactly how you would.

Think of them as AI VC simulators that embody your fund's personality. A fintech-focused VC builds an agent that prioritizes regulatory compliance and unit economics. A climate tech investor builds one focused on impact metrics and sustainability.

100%

Customizable to your thesis

24/7

Autonomous screening

Consistent

No bias or fatigue

What You Can Customize in Your AI Agent

Investment Thesis

Define what you look for: market size, traction, team, tech innovation, business model, defensibility, or growth potential. Prioritize what matters most to your fund.

Sector Focus

Set industry expertise: SaaS, fintech, climate tech, healthcare, deeptech, consumer, B2B, etc. Your AI will ask sector-specific questions.

Stage Preferences

Pre-seed, seed, Series A, or growth stage? Your AI will evaluate startups based on expectations appropriate for their stage.

Evaluation Criteria (Personality)

Customize scoring rubrics: market (30%), team (25%), traction (20%), tech (15%), pitch quality (10%). Weight what matters to you.

Question Style

Friendly and supportive, or tough and interrogative? Set the AI's questioning tone to match your approach.

Geographic Focus

Target specific regions or go global. Your AI can prioritize startups from your target markets.

Deal Flow Filters

Set automatic filters: minimum revenue, team size, funding raised, or customer count. Screen out non-fits automatically.

Special Priorities

Add unique priorities: diversity, impact metrics, profitability, or any custom factors that align with your fund's mission.

How to Build Your AI VC Agent

1

Define Your Investment Criteria

Start by defining what you look for in startups. Set your thesis, focus areas, stage preferences, and deal flow priorities.

2

Customize Evaluation Rubric

Set scoring weights for each evaluation dimension: market opportunity, team, traction, product, business model, pitch quality, etc.

3

Set Agent Personality

Choose the AI's tone and questioning style. Go supportive and encouraging, or tough and critical—whatever matches your style.

4

Deploy & Use

Your AI agent is ready. Use it in pitch competitions, investment programs, or for general deal flow screening. Startups pitch to your agent, and it evaluates them based on your criteria.

5

Refine Over Time

Continuously improve your AI agent based on results. Adjust weights, add new criteria, or change focus as your investment strategy evolves.

How VCs Use AI Agents

Screening Cold Inbound Pitches

Instead of manually reviewing every cold email pitch, let your AI agent do the initial screening. It scores every pitch and surfaces only the top 10%.

Running Accelerator Applications

Deploy your AI agent to evaluate accelerator or incubator applications. Let it score hundreds of applicants and rank them automatically.

Hosting Pitch Competitions

Your AI agent acts as the judge for virtual pitch competitions. Founders compete for top scores, and you see the winners on a leaderboard.

Sector-Specific Screening

Build multiple agents for different sectors. A healthcare-focused agent for medtech startups, a fintech agent for payment companies, etc.

Partner-Specific Evaluation

Different partners in your fund have different priorities. Each partner can build their own AI agent that reflects their unique perspective.

Why Build Custom AI VC Agents?

Your Thesis, Your Agent

Generic AI screening doesn't work. Your agent evaluates startups based on what matters to YOUR fund, not generic criteria.

Consistent Evaluation

Human evaluators get tired, biased, or inconsistent. AI agents apply the same criteria to every pitch, every time.

Scale Your Screening

Review 100x more startups without increasing team size. Your AI agent never sleeps, never gets overwhelmed.

Example AI Agent Personalities

The Fintech Focused Agent

Prioritizes regulatory compliance, unit economics, customer acquisition costs, and banking partnerships. Asks tough questions about fraud prevention and security.

Used by: Fintech-focused seed funds

The Impact-First Agent

Evaluates environmental impact, social ROI, and sustainability metrics alongside financials. Focuses on mission-driven founders and measurable impact.

Used by: Climate tech and impact investors

The Enterprise SaaS Agent

Looks for enterprise sales experience, long sales cycles, ARR growth, logo acquisition, and product-market fit in B2B markets.

Used by: B2B SaaS-focused VCs

The DeepTech Agent

Evaluates technical innovation, IP strength, research publications, PhD-level expertise, and time-to-market for hard tech startups.

Used by: DeepTech and hard-science investors

Build Your AI VC Agent

Create a custom AI judge that screens startups your way.

Create Your First AI Agent