---
title: "What Founders Need to Know in 2025"
description: "5 source-backed AI claims from What Founders Need to Know in 2025, with key statistics, context, and the original AI Adopters Club source."
url: "https://kbanc.com/claims-library/what-founders-need-to-know-in-2025"
source: "https://aiadopters.club/p/what-founders-need-to-know-in-2025"
date: "2025-03-11"
topics: ["strategy", "tools", "business"]
generated: "2026-08-31"
---

# What Founders Need to Know in 2025

By Kamil Banc | March 11, 2025

## Claims

1. **60+ VC Firms in Beta** (source summary): DeckMatch has over 60 VC firms in its closed beta across the US, Europe, and Asia.
2. **What AI Tools Evaluate** (source summary): AI pitch deck tools evaluate stage alignment, business model viability, market size, and founding team experience.
3. **Mirror VC Terminology** (Kamil's interpretation): Founders should mirror a VC's exact investment terminology, such as saying B2B SaaS instead of enterprise software.
4. **Humans Make Final Decisions** (source summary): Humans still make the final investment decisions while AI handles only initial screening of pitch decks.
5. **Front-Load Key Metrics** (Kamil's interpretation): Founders should front-load their strongest traction, team credentials, and market data in early pitch deck slides.

## Evidence

### Quote
> "Your carefully crafted deck—the one you stayed up until 3 AM perfecting—might be rejected by an algorithm before a human even glances at your logo." - Kamil Banc

### Key Statistics
- **60+ VC firms**: DeckMatch reports over 60 venture capital firms participating in its closed beta across the US, Europe, and Asia.
- **3 AM**: The author uses the illustrative image of a founder perfecting a deck until 3 AM, only for it to face algorithmic rejection before human review.

## Context
The article draws on documented information about AI screening platforms like DeckMatch and Pitchflow, which scan pitch decks against VC investment criteria before human reviewers engage. Kamil Banc, a practitioner writing for founders, translates this screening reality into actionable guidance: use clearly labeled sections, surface explicit metrics in charts and standalone figures, maintain consistent terminology, and align language with each VC's stated thesis. He balances caution with opportunity, noting that AI screening can deliver faster feedback loops and potentially reduce certain human biases, though algorithmic biases may emerge. The core practitioner takeaway is a two-audience approach: optimize structure and data for algorithmic first-pass screening while preserving story, vision, and chemistry for the human decision-makers who ultimately write checks.

## Source
- Original: [What Founders Need to Know in 2025](https://aiadopters.club/p/what-founders-need-to-know-in-2025)
- Cite: kbanc.com/claims-library/what-founders-need-to-know-in-2025

## Primary Evidence
- [DeckMatch](https://www.deckmatch.com/) (deckmatch.com; supports claims 1, 2)