SymphonyOS

Overview

SymphonyOS is an AI-powered operating system for the music business, purpose-built to handle everything that happens after a song is finished. It is not another generative music tool; it is the 'agent company of music' — a roster of named, specialized AI agents that execute the operational and promotional work of an artist's career. Drawing on a decade of hands-on music marketing and release strategy experience (including artists at the Billboard and Grammy level), SymphonyOS trains its agents on the business of music rather than audio content.

The platform is built around a team of accountable virtual staff. Maestro acts as the team conductor, devising strategy and delegating tasks to the rest of the roster. Simmy runs paid media campaigns across TikTok, YouTube, Instagram, and Facebook with daily pacing, creative rotation, kill rules, and an 8 a.m. recap of performance. Cue keeps releases on schedule, Echo provides fan intelligence down to individual listener behavior, Maude audits royalty statements and financial forecasts, and Sage turns fans and creators into campaign assets. These agents are not simple chatbots; they execute multi-step workflows that produce real business outcomes. Campaigns run as actual ads on the user's own connected accounts, with no bot playlists or guaranteed-stream schemes. Each agent is scoped to a single job, so there is no overlap or mission creep. All actions are logged, providing a transparent audit trail similar to a label meeting report.

Technically, SymphonyOS is memory-first and composable. Every agent maintains a persistent memory file containing roster details, splits, statements, fan data, brand voice, and more, which is shared across the entire roster. This eliminates repeated context-setting and lets the system improve with use. Agents write back to their own memory after every task, making the platform self-improving. The underlying architecture includes privacy safeguards: user data is encrypted, not used for training, and memory files can be exported at any time. The system supports multiple pricing tiers — a free tier with 200 startup credits and 75 monthly top-ups, a $49/month Pro plan, a $99/month Label plan, and custom Enterprise options. Larger or tailored configurations can include custom agents and integrations when needed.

SymphonyOS is designed for independent artists, professional managers, and record labels. It turns a one-person operation into a fully staffed label, or augments an existing team with AI agents that never sleep. Verification and control are central: campaigns run on the user's connected ad accounts, so every impression and dollar is verifiable. With over 100,000 artists reportedly using the platform — including major names such as 21 Savage, SZA, and Future — SymphonyOS positions itself as the operational layer for modern music careers, moving beyond song creation to the business of getting heard, sold, and paid.

Core capabilities

AI Agent Roster

A collection of named, specialized AI agents, each scoped to a single operational job in the music business.

Maestro (Team Conductor)

Plans release strategy, coordinates the rest of the agents, and maintains the high-level overview.

Simmy (Advertising)

Runs paid campaigns across TikTok, YouTube, Instagram, and Facebook with pacing, rotations, kill rules, and daily recaps.

Cue (Release Manager)

Keeps releases on schedule and prevents deadlines from slipping.

Echo (Fan Intelligence)

Knows fans individually, tracks engagement drivers, and provides data-backed audience insights.

Maude (Business Affairs)

Reviews royalty statements, flags discrepancies, and supports forecasting and projections.

Sage (Creator Campaigns)

Converts fans and creators into scalable promotional campaigns.

Memory-first architecture

Persistent memory files shared across all agents, eliminating the need to re-explain context.

Accountability and logging

Every agent action is logged for transparent, audit-ready review.

Composable hiring model

Hire one agent or the entire roster; plans scale from free to enterprise with credit-based metering.

Use cases

Automating release management for a single or catalogue of releases

Running verifiable paid media campaigns across social platforms

Gaining deep fan intelligence to guide creative and marketing choices

Auditing royalty statements and financial forecasts for accuracy

Deploying creator seeding campaigns to amplify new music

Scaling label operations without adding full-time staff

Building a complete AI-powered virtual label team