From workflows to agents Your label runs itself.
The foundation is live. Through 2026, every workflow evolves into systems that understand your label — reducing manual work while increasing speed and control.
The Full Operating System
The platform powering label operations today. Distribution, royalties, analytics, and artist management — all white-labeled.
Distribution & Release Engine
Full release lifecycle. Upload via web or mobile, select DSPs and territories, schedule releases, run pre-save campaigns. Content validated at every stage before delivery.
Royalty & Payout Engine
Royalty calculations, split processing, and batch payouts — running monthly without manual intervention. Advance recoupment, expense management, and automated statement generation. Fraud detection across the full revenue chain.
Analytics & Signal Engine
Daily revenue per stream. 95%+ estimate accuracy. Social-to-streaming correlation across TikTok, YouTube Shorts, and Reels. Playlist attribution. Demographic breakdowns. The data layer every intelligence product is built on.
White-Label Infrastructure
Your domain, your brand, your artist portal — across web, mobile, and email. Role-based access. Nested sub-label support. Each partner gets a fully branded environment configurable down to translations and support ticketing.
What follows is the shift to agentic operations.
Intelligence Layer
Core intelligence products. No distribution relationship required.
Talk to Data
Natural language interface to your catalog data. Ask a question, get a precise answer with charts. Built on music-industry playbooks — the system understands weekly aggregation, release cycles, and how labels actually look at data. Not a generic chatbot.
Data Dashboards
Send a UPC list, receive a full dashboard in 48 hours. Revenue estimates from our proprietary rate-card calculations. Social-to-streaming correlation. Viral detection. No distribution relationship required — this is the entry point to Label OS.
Deal Modelling & Forecasting
Revenue forecasting for any artist. Deal scenario modelling with real-time recoupment timelines. Risk analysis. Comparison views. Term sheet export. Built on years of proprietary forecasting models. Evolves into conversational deal modelling — type an artist name, get a full proposal back. Sharpens with every deal modelled on the platform.
AI Quality Control
Metadata, audio, artwork, and DSP compliance — validated before delivery. Clean releases auto-approve without human review. Flagged releases surface for the team. Learns from every exception and reduces error rates with each cycle.
Release Planning
Planning engine for release rollouts. Scheduling, asset collection, budget tracking, approval workflows. Learns from every release on the platform. Evolves into autonomous planning: the system proposes timelines, assigns tasks, and flags risks. You review and approve.
Agentic Execution
Every tool shifts from passive intelligence to active execution.
Agent Workbench
The environment where your team turns standard operating procedures into agents. Encode how a workflow should run, test it, review its decisions, deploy it — no engineering required. The quality layer validates every agent before it touches production. This is what makes the shift from tools to agents scalable.
Marketing Intelligence
Campaign recommendations powered by cross-catalog benchmark data. Surfaces momentum, models spend allocation, and enables self-serve campaign booking. Marketing shifts from a service cost to a revenue engine embedded in the platform.
Rights & Royalties Foundation
The data model expands to support works, IP chains, publishing splits, and sync. First subsystems ship: rights management and usage tracking. The architecture that transforms Label OS from a distribution platform into a universal rights system.
System Convergence
The self-driving car for record labels is fully operational.
Universal Rights & Royalties
Master royalties, publishing splits, sync income, neighboring rights — processed through a single system. The Creators Portal gives every artist one place to see all their income. No competitor has unified this. A new category of product.
Agentic Operations
Deal modelling, release planning, QC, and marketing run through validated agents — monitored by humans. The operational team shifts from doing the work to training the agents that do it. Operational cost per release declines with every cycle.
Auto Experiments
Agents run thousands of experiments across the full dataset — hardening forecasts, discovering patterns manual analysis would never surface. New capabilities ship directly into Talk to Data and the Forecasting models. More partners bring more data. More data sharpens every model. The flywheel accelerates.
Beyond 2026: The advantage does not hold. It accelerates.
Every new agent is faster to build than the last. Every experiment sharpens the models. Going into 2027, the pieces that took quarters to build in 2026 will take weeks. The same infrastructure that runs a record label extends into publishing, sync, and music funds. Each new vertical adds data that makes every other vertical smarter.