Every release is a bet. Stop betting blind.

Hears. Simulates. Predicts.

Know how your song lands. Before you release it.

SoundIntel predicts likely audience response before release using blind, multi-agent simulation from audio alone.

No artist identity. No streaming history. No campaign data. The music enters first.

Multi-agent simulation
Audio only
No metadata

0

Metadata inputs

100+

Listener perspectives

80%

Internal validation accuracy

Tested in public. Before the Eurovision Song Contest 2026, SoundIntel analysed all 30 semi-final entries from audio alone and published its predictions on 11 May 2026. See the full results →

Cold listening. No bias. Only sound.

How it works

Three steps. No metadata.

01

Send your music

Unreleased single, EP or album. Audio only. NDA available.

02

The swarm listens

A simulated listener population hears it cold across diverse listener profiles and response patterns.

03

You get the report

Who is likely to respond, how strongly, where attention drops — and what that means for the release.

Audience Intelligence

Do you know your audience?

SoundIntel does.

SoundIntel starts with the music, not the artist.

The simulation surfaces the listener profiles most likely to respond, how strongly they respond, and where attention begins to fall away — from audience fit and listener type to early skip risk.

So you can decide who to target, what to push and where to spend before release data exists.

Sonic DNA

Example profile, scale 0–100.

Test your song before release

Scenario 01

You made an album.

Which song deserves the push?

Compare track-level audience response before you commit the budget.

Scenario 02

You release often.

Which tracks are worth marketing?

Score each release before deciding which ones deserve the push.

Scenario 03

You know the track.

Who should you target first?

Use predicted audience fit to focus the campaign before you spend broadly.

What you receive

One private report. The whole release.

Track-level intelligence, with a release-level view for multi-track projects.

Audience engagement

Listener segment breakdown

Skip-risk signals

Sonic DNA profiles

Track-to-track comparison

Release strategy

Singles receive an individual track report. EPs and albums add track-by-track analysis and a comparative release overview.

Your material is safe

Your music stays yours.

Your audio is used only for your analysis. Never shared. Never used to train our models without your consent. Audio files are deleted after the analysis is completed, as agreed with you.
An NDA is available before you send anything.

Made by musicians, for musicians.

Our mission

AI in music is inevitable. We intend to help steer it in the right direction.

SoundIntel doesn't generate music. It listens. It evaluates music without names, followers, budgets or hype.

Our mission is to build transparent, responsible AI that strengthens creativity, protects artists and helps exceptional music find its audience.

Before you spend on marketing,
know what the audience hears.