VideoFire Logo

VideoFire

AI-native media network replacing talent overhead with algorithmic scale

The Problem

Platforms Rent Attention.
Creators Own It.

$200M

Spotify paid $200M for Rogan.

Bought temporary access, not permanent equity.

Joe Rogan

As creators scale, their rev-share demands grow –

cannibalizing platform margins forever.

$800M

Tucker Carlson leaving Fox News wiped out $800M in market value.

Ratings collapsed 50% and stock price fell 5%.

Tucker Carlson

When the talent leaves, the users (and valuation) follows.

… leaving the platform a digital graveyard.

Why Now?

A handful of personalities now rival entire media networks.

Media is controlled by ~100 gatekeepers

Influencers

Candace Owens
Candace Owens
Ben Shapiro
Ben Shapiro
Hasan Piker
Hasan Piker
Megyn Kelly
Megyn Kelly

Legacy Media

CNN
CNN
MSNBC
MSNBC
Fox News
Fox News
CBS/NBC
CBS
→
VideoFire
5,000

Virtual Creators Driven by AI

  • Synthetic video opens up media production
  • Algorithmic optimization at scale
    • ▸Able to focus on any niche
    • ▸Target exactly what the algorithm wants

The Tipping Point: As human talent monetization hits a ceiling of infinite rev-shares and friction, algorithmic creators cross the uncanny valley—unlocking zero-marginal-cost, 24/7 global media distribution.

The Solution

Replacing Talent Overhead
with Algorithmic Scale

0%

0% Flight risk

Complete elimination of Key-Man risk. Permanent corporate assets.

100%

100% IP Ownership

Zero talent tax, zero agents, zero structural liability.

Every language

1 identity → Every language

Disney margins

No talent tax, no agents, no liability

Human Creator

VideoFire Creator

Negotiation
Flight Risk
Permanent IP (Owned outright)
Output
1 language
Every language
Revenue
Rev-share
100% owned
Cost to Scale
Exponential (Requires rev-share + agents)
Near-Zero Marginal Cost
Throughput
Bi-weekly, 4–6 hrs/day
24/7

Product

Creators with a Soul

BEFORE
AFTER

VideoFire cuts high-quality viral video production
time from 3 hours to 10 minutes.

Claude Code for Video
from
3:00:00
18x faster
10 min
60x
Faster Research
AI-Driven
Script & Edit
1-Click
Publish Ready

Powered by our proprietary
AI agent for news:

Delta Research

Efficiency
60x faster research
Crawls and Analyzes
1000s of items per run
#ai_regulation
#potus_speech
#market_cash
Identifies
Topic Clusters
breaking
T
#potus
new
X
#potus
Automates Topic
& Trend Tracking

The Virality Loop: Compressed research latency means we don’t report on trends; we inherit the traffic wave as it forms. Speed to market is the algorithmic unfair advantage.

Roadmap

The path to industrialized media

Q2 ’26
Up Next

Launch Initial Creators

Launch our own content — powered by Delta Research

Q3 ’26
Engine

Delta Research v2

Better meme prediction & trend detection engine + TikTok realtime video analysis

Q4 ’26
GROWTH

Expansion

  • ▸ Focus on multiple languages
  • ▸ Automatic creator instantiation based on niche detection
2027

Traction

Velocity from Day One

15M

Views

Meme prediction engine

1.5M

Views

Satirical content

70,000+ subscribers in 3 weeks of publishing

70K 60K 50K 40K 30K 20K 10K 0
70,000+ subscribers
Mar 10 Mar 17 Mar 24 Mar 31 Apr 7 Apr 14 Apr 21 Apr 30
Subscriber count
3 weeks of publishing
~1,250 subs/day avg

We have achieved early distribution traction using our initial Delta Research system, demonstrating directional signal for AI-assisted content scaling.

Go-to-Market

The Content Flywheel

1

Persona Engineering & Launch

Deploy AI-generated creators with highly specific, data-optimized personas engineered for targeted audience niches.

2

Multi-Platform Arbitrage

Publish authoritative long-form content (15+ minutes) to YouTube to establish monetization baselines, simultaneously cross-distributing optimized short-form assets across TikTok, Instagram, and X to capture algorithmic discovery.

YouTube Ads — Primary Revenue TikTok Instagram Twitter / X

Competitive Advantages

Why We Win

Subscriber Data & Network Effects

Every subscriber deepens proprietary data loops, increasing targeted content precision.

Predictive Audience Modeling

  • ▸New creators are launched based on predictive demand
  • ▸Synthetic creators actually “listen” to their audience to mirror what they want based on comments.

AI-Driven Production Scale

By embedding AI directly into our content creation and research workflows, we produce media and analyze trends at a speed and volume that traditional media companies cannot match.

Market Size

Global video creation & content monetization

TAM SAM SOM TOTAL ADDRESSABLE MARKET SERVICEABLE ADDRESSABLE MARKET SERVICEABLE OBTAINABLE MARKET
TAM — $345B

Global Digital Video & Native Ad Market

SAM — 33B

English-speaking News, Information & Media Digital Spend

SOM — $333M

Realistic 3-year target (1% of SAM) based on our AI-scale content

50M+
Active Creators
23%
YoY Market Growth

Revenue Engine

Business Model

70%
20%
10%

Primary

Native Ads

  • Brand ads embedded directly in content

  • Mid-roll & dedicated sponsorship segments

  • Integrated inline AI-driven ads

  • Projected ~70% of total revenue

Core Revenue

Platforms

Platform Ads

YouTube
TikTok

  • Ad share revenue from platform algorithms

  • Scales automatically with view volume

  • Projected ~20% of total revenue

Algorithmic Ad-Share

Community

User Sponsorship

  • Users fund creators directly on our app

  • Launches with mobile app release

  • Builds loyal community flywheel

Upcoming

Leadership

Kevin Burton

Founder & CEO

Multi-exit founder

Track Record: Multi-exit founder; former Founder/CEO of Datastreamer, scaled to over $2M ARR and acquired by Media Sonar.
Data Scale Mastered: Architected a real-time analytics cluster indexing 10TB+ of data per day and 60 Billion documents.
Enterprise Validation: Datastreamer's platform explicitly powered IBM Watson's social data engine during Jeopardy and was cited in 350+ Ivy League academic papers.
Early AI & Vector Pioneer: Built vector-based search indices integrated with OpenAI's models as early as 2019 as Founder/CTO of Polar.
Community Validation: South Park Commons Fellow (F25 Batch).

Team

Zero Friction, Max Velocity

▸

The Polar DNA: Kevin, Abdelrahman, and Hassan have a proven historical shorthand from scaling systems together at Polar.

▸

Eliminating Team Risk: 100% operational trust is already established; we skip the “forming stage” to execute at peak velocity out of the gate.

Abdelrahman Eweda

Abdelrahman Eweda

Cloud Infra Engineer

Scales systems that don’t break. Infrastructure, CI/CD, AI inference pipelines.

Cloud Architecture AI Inference Platform Scalability
Hassan Kharouf

Hassan Kharouf

Full-Stack Developer

Builds what users actually touch. Web, video APIs, UI/UX implementation.

Web Development Video APIs UI/UX

The Ask

$4M

Seed Round

South Park Commons

F25 Batch

$600k committed

Raising to execute on
talent & marketing.

0% — Growth
0% — Talent
0% — Engineering
0% — Infra
0% — Ops

Key Hires: CTO & Chief AI Researcher

Appendix

Exceptional video output

tailored for virality

Multi-Format
Export

Vertical & Horizontal support

ZOOM TARGET
AI Tracking
240%
Smart
Zooms
AI-driven attention retention
Live Transcript
"Buckle up, because the story just took a turn..."

Auto
Captions

99% accuracy generation

Product

Delta
Research

Real-time intelligence dashboard for high-velocity creators.

Click to expand
Delta Research UI
Expand

Product

The
Editor

Scriptwriter meets studio. One-click from research to publish.

Click to expand
Editor UI
Expand

Output Preview

One Creator. Every Format.

Same content, optimized for every platform

Financial Model

TAM / SAM / SOM

Fetching live data…
01 / 17