RECORDSTACK

The AI Operating System for Music Creation & Distribution

Automating music workflows with agentic AI

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Sonic Data Waveform
02

The Problem

The Manual Chain of Pain

Current "AI workflows" still rely on human labor at every step. It’s unscalable.

1. Generate on Suno (1 hr) MANUAL
2. Download & Listen for Artifacts HUMAN EAR
3. Upload to Stem Separator FILE MGMT
4. Create Art in Midjourney PROMPTING
5. Data Entry (DistroKid/PRO) ADMIN

Result: Output is capped by human speed. Unit costs remain high.

03

The Shift

DEPRECATED

Human-Centric

  • Talent is Scarce
  • High Production Cost
  • Hits are Random
ONLINE

System-Centric

  • Infinite Talent
  • Marginal Cost = $0
  • Engineered Hits
04

The Insight

Wrapper vs. Workflow

System of Intelligence

"Chatbot" Model

  • Waits for prompt
  • Single output
  • Stateless (forgets context)

System of Work

"Agentic" Model

  • Perception (Analyzes market)
  • Planning (Create brief)
  • Tool Use (Suno + Cyanite + Distro)
  • Stateful (Remembers everything)
05

The Solution

RECORDSTACK is the "System of Work".

An autonomous mesh architecture that orchestrates the entire pipeline.

1. Strategist
2. Builder
3. Librarian
4. Manager

We don't just generate audio.
We manage the business.

06

The Agent Swarm

The Strategist (A&R)

Scrapes Spotify/Chartmetric for supply/demand gaps.

Trend Analysis Brief Gen

The Builder (Prod)

Orchestrates Suno/Udio & AudioShake for stems.

Generation Stem Separation Spectral QC

The Librarian

Cyanite analysis for DDEX-compliant metadata.

Auto-Tagging ISRC/ISWC

The "Moat": Integration Complexity + Proprietary QC Logic.

07

Proof of Concept

Lofi Frenchie

Proves the system works.

Automated Output

Fully AI-assisted Music Generated Visuals Automated Description Auto-Distribution Continuous schedule

Key point: Lofi Frenchie is not the business — it’s the demo.

08

Market Opportunity

TAM (Total Addressable)

$38.7B

AI Music Market by 2033

SAM (Service Addressable)

Functional Music

Sleep, Focus, Background, Sync

Why Focus/Lofi First?

  • High Volume: Listeners consume hours daily.
  • Low Complexity: AI excels at loops/ambience.
  • Metadata Driven: Success = Taxonomy (which we automate).
  • Faceless: No "Uncanny Valley" problem.
09

Business Model

Unit Economics Revolution

Why agentic automation changes the physics of the label business.

$1,300
Traditional Label
(Cost per Release)
VS
$6
RECORDSTACK
(Cost per Release)
1. Direct Streaming

Royalties from owned catalog (Lofi Frenchie).

2. B2B Workflows

SaaS fees for labels using the engine.

10

Why We Win

Wrapper vs. Workflow

Competitors (Wrappers)

Suno / Udio (Generators)
Cyanite (Taggers)
Single Function
Legal "Grey Area"

RECORDSTACK (Orchestrator)

The "Manager" of all tools
Model Agnostic (Safe)
End-to-End Pipeline
Indemnified Workflow
11

Plan of Action

Phase 1: Trojan Horse

Months 1-6

  • Scale "Lofi Frenchie"
  • Target: 1,000 Tracks
  • Prove Unit Economics

Phase 2: Expansion

Months 7-12

  • Launch 5 New Genres
  • Sleep, Synthwave, Phonk
  • Automate "Trend Watcher"

Phase 3: The Platform

Year 2

  • Pivot to "Reverse Label"
  • License engine to Majors
  • Enterprise SSO & APIs
12

Vision

The future of music is system-driven.

Artists focus on Taste
Systems handle Execution
Labels run at Software Margins

RECORDSTACK is the OS.

13

The Ask

deal_memo.sh

SEED ROUND

Seeking strategic capital to build the OS for music.

// USE OF FUNDS

Productization
Agent R&D
Key Engineering Hires
Go-to-Market
INVEST
Lofi Frenchie Midnight Grooves

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