The Rights Layer for the AI Economy

AI Covers Are
Worth Billions.
Claim Them.

Millions of AI-generated covers flood YouTube, TikTok, and Instagram daily. Instead of fighting takedowns, AREX detects, licenses, and monetizes — turning the AI music wave into transparent, recurring revenue for labels, publishers, and creators.

Market Opportunity
AI cover videos — YouTube alone
≈4–5B
TikTok videos containing music
85%
AI covers currently unmonetized
90%+
Per-label upside at alliance scale
$100M+
Watch the Overview

See AREX in Action

A two-minute overview of how AI Rights Exchange turns the AI cover economy into real, shared revenue.

AI Rights Exchange™
Official Overview · 2025
≈ 2 min
Our Vision

A new rights infrastructure
for a new creative era

AI music generation is not a threat to be litigated away — it’s an economic force to be channeled. AREX is building the platform that makes that possible.

“The labels and platforms that move first will set the industry standard — and capture the lion’s share of a $38.7B emerging market.”

AI music creation is growing at 28% annually. By 2033, the AI music market is projected to reach $38.7 billion. Yet over 90% of AI covers today generate zero revenue for original rights holders — not because monetization is impossible, but because no one has built the infrastructure to do it.

AREX is that infrastructure. We sit at the intersection of audio AI, rights management, and platform economics — enabling the shift from takedowns to transparent revenue sharing at scale.

💰

New Revenue, Not Litigation

Convert gray-area AI usage into licensed, trackable, monetized content — without legal battles.

🤝

Creator Collaboration

Empower fans and creators while ensuring rights holders receive their fair share automatically.

📐

Industry Standard-Setting

The first consortium to join shapes the rules. Early partners define the terms of the AI music economy.

$38.7B
Projected AI music market by 2033
28%
Annual AI music creation growth rate
90%+
AI covers generating zero royalties today
$100M+
Per-label annual upside at alliance scale
Competitive Landscape

Existing players like Vermillio (Sony-backed, $16M raised) validate the market — but focus on narrow detection for major labels only.

AREX is positioned as the open rights layer — platform-agnostic, creator-inclusive, and designed for the full breadth of labels, publishers, and independent distributors.

“We don’t believe in fighting the wave. We believe in building the infrastructure to ride it.”

AI Rights Exchange™ — Los Angeles · New York · London

Our Technology

Three phases.
One automated pipeline.

From first detection to final payout — AREX handles the full rights monetization lifecycle with no manual intervention required.

Currently in Development
01
Phase One
Detect

Our AI detection engine analyzes pitch, tempo, lyrics, and vocal signatures to recognize transformed works — even when audio has been remixed, pitch-shifted, or voice-cloned at scale.

02
Phase Two
License

Once a match is confirmed, we generate instant micro-licenses with transparent revenue splits between labels, publishers, and creators — automated and configurable per catalog.

03
Phase Three
Monetize

Revenue flows automatically from platforms through our API integrations. No manual claims, no disputes. Transparent statements exportable to any royalty management system.

Planned Technology Stack
🧠

AI Detection Models

Audio fingerprinting combined with transformer-based ML to identify covers through pitch, tempo, lyric NLP, and voiceprint transformations — even heavily modified content.

Automated Licensing Layer

Smart contract-style logic for instant rights clearance with configurable revenue splits. No blockchain complexity — just transparent, deterministic automation.

🔗

Platform API Integrations

Planned integrations with YouTube Content ID, TikTok, Instagram Reels, and emerging platforms for real-time detection and monetization at massive scale.

📊

Enterprise Label Dashboards

Real-time analytics showing cover activity, trending content, revenue by platform, and predictive insights — exportable to your existing royalty management stack.

🔒

Data Security & Compliance

SOC 2 compliant infrastructure with GDPR/CCPA adherence, encrypted catalog storage, and label-controlled access controls. Enterprise-grade from day one.

Strategic Partnerships

We’re inviting industry leaders to form the first consortium for responsible AI music monetization. Early partners define the standard.

🎵

Labels & Publishers

Pilot our detection technology on your catalog. Real-time dashboards show AI cover usage, revenue potential, and detection accuracy before full rollout.

🤖

AI Music Platforms

Integrate our API to enable instant licensing within AI creation tools — so users generate responsibly, you stay compliant, and rights holders get paid.

📱

Social Platforms

We’re developing partnerships with TikTok, Instagram, and YouTube to solve the AI cover problem at the platform level — reducing liability while keeping content live.

Revenue Calculator

Estimate your catalog’s
untapped potential

Adjust the inputs to model what AI Rights Exchange could generate for your label.

💸
Your Inputs
📈
Monthly Estimate
Monetized Covers
Gross Revenue
Label Share (50%)
Your Monthly Label Revenue
Estimates are illustrative models. Actual results vary based on catalog size, platform mix, and adoption rates.
♪ Join the Alliance

Labels — Let’s Build
the Future Together

Join the AI Rights Exchange Alliance™ to protect your catalog, empower creativity, and unlock nine-figure upside with ethical, automated monetization infrastructure.

≈4–5B
Videos on YouTube
85%
TikTok videos use music
$38.7B
Market size by 2033
90%+
Unclaimed AI covers
Data Sources
  • YouTube video count: Multiple 2025 industry reports estimate 4–5 billion public videos (SEO.AI, Photutorial, Global Media Insight)
  • TikTok music usage: 85% of videos contain music per Pex 2023 analysis; ~31% of tracks are pitch/tempo-modified
  • AI music market projection: $38.7B by 2033 at 28% CAGR per multiple 2024 market research reports
  • Revenue projections are illustrative models based on industry CPMs, platform policies, and adoption scenarios
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