Evaluating startups manually can be slow, inconsistent, and difficult to scale. Investment teams often spend hours reviewing application forms, pitch decks, financial information, and founder details before they can even decide which startups deserve a closer look.

Too much manual screening.
Inconsistent evaluation.
High-potential startups can easily get overlooked.

That’s why we built an AI-powered Startup Screening Automation using Typeform + Make + OpenAI + Notion to streamline the entire evaluation process—from startup submission to scoring and investor outreach.

As an Automation Expert, I created a system that automatically extracts startup information, evaluates it against six critical investment criteria, records the results, and triggers the appropriate next step based on the startup’s score.

Why Startup Screening Automation Matters

Startup screening comes with several operational challenges. Automation helps investors overcome the biggest bottlenecks:

Faster Evaluation: Startups can be reviewed and scored automatically without manually processing every submission.

Consistent Screening: Every startup is evaluated against the same investment criteria.

Less Manual Work: No more spending hours extracting information from pitch decks or manually transferring data.

Better Investor Focus: Investment teams can spend more time on promising opportunities instead of administrative screening tasks.

How the Startup Screening System Works

Here’s the step-by-step breakdown of the automation:

Automation — Smart Startup Screening

⏰ Runs automatically whenever a startup submits its application

Capture Startup Details with Typeform

The process starts when a startup submits its information through a Typeform application.

The system automatically captures the submitted details and prepares them for evaluation.

Extract Data from the Pitch Deck

If the startup uploads a pitch deck, the system uses AI to extract important information from the document.

This can include:

• Business model
• Revenue information
• Market opportunity
• Product details
• Traction
• Founder information
• Growth potential
• Exit strategy

This eliminates the need for investors to manually read through every pitch deck just to collect the basic information required for screening.

Evaluate the Startup Across Six Criteria

The AI evaluates each startup across six critical investment areas:

1. Tech & Innovation

Evaluates AI usage, proprietary intellectual property, technological differentiation, and innovation.

2. Financial Strength

Reviews the revenue model, traction, unit economics, and overall financial potential.

3. Scalability

Looks at market size, automation opportunities, growth potential, and the ability to scale efficiently.

4. Founders & Execution

Evaluates founder experience, industry expertise, leadership capabilities, and execution potential.

5. ESG & Ethics

Considers sustainability, transparency, ethical practices, and governance.

6. Exit Strategy

Reviews potential M&A opportunities, IPO feasibility, market trends, and valuation potential.

Each area contributes to the startup’s overall screening score.

Record Scores in Notion

Once the AI evaluation is complete, the startup’s information and scores are automatically recorded in Notion.

This creates a centralized screening database where investors can quickly review:

✅ Startup information
✅ Pitch deck insights
✅ Individual evaluation scores
✅ Overall score
✅ Screening status

The Notion database also acts as the trigger for the next stage of the workflow.

Automatically Trigger Investor Outreach

The system checks the startup’s overall score and determines what happens next.

If the startup scores above 70:

📧 A personalized email draft is automatically created for investor review.

This allows the investment team to quickly follow up with startups that meet the screening threshold.

If the startup scores below 70:

📧 An automated email is sent inviting the startup to schedule a 30-minute call to discuss their submission and explore potential areas for improvement.

This ensures that every applicant receives a consistent follow-up instead of being left waiting for a response.

The entire process runs automatically—from submission to evaluation, scoring, and outreach.

Promoting Startup Screening Automation

Website Section: “Evaluate Startups Faster with AI-Powered Screening.”

Investor Pitch: Position automated screening as a way to process more applications without increasing administrative workload.

Application Process: Use automation to create a faster and more consistent experience for startups submitting investment applications.

Benefits for Investment Teams

Faster Startup Evaluation

AI handles the initial information extraction and screening, allowing teams to process applications much faster.

Consistent Investment Criteria

Every startup is evaluated against the same six criteria, creating a standardized screening process.

Zero Manual Data Transfer

Information moves automatically from the application form to AI evaluation and then into Notion.

Scalable Screening

Whether you receive 20 applications or hundreds, the automated workflow can handle the initial screening process without requiring the same increase in manual effort.

Better Investor Productivity

Investors spend less time on repetitive screening tasks and more time reviewing promising opportunities and making informed decisions.

Real-Life Use Case

Problem:
An investment team receives a large number of startup applications. Manually reviewing forms, extracting pitch deck information, scoring startups, and sending follow-up emails takes significant time and can lead to inconsistent evaluations.

Solution:
We built an end-to-end automation using Typeform + Make + OpenAI + Notion to automatically collect startup information, extract key pitch deck data, evaluate startups across six investment criteria, record scores, and trigger personalized outreach based on the final score.

Result:

• ⚡ Faster initial startup screening
• 🤖 AI-assisted evaluation across six investment criteria
• 📊 Centralized startup scoring in Notion
• 📧 Automated and personalized follow-up
• 📈 Scalable screening without increasing manual workload

Ready to Transform Your Startup Screening Process?

Manual startup screening doesn’t have to slow down your investment pipeline. With AI and automation, investment teams can evaluate applications faster, standardize their screening process, and focus their attention where it matters most.

🚀 Start automating your startup screening workflow today!

For a demo or consultation, JUST CONTACT US.