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// sonic hub · render farm
~/sonic-hub
$ sonic render --voices 3000 --langs 60
✓ catalogue Million+ tracks indexed
✓ tts engine warm · gpu pool ready
✓ p95 latency 380ms
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Case study · amp sound branding

Sonic Hub - the world's first
AI audio operating system.

We designed and engineered the platform that lets global brands generate, manage, predict and deploy their entire sound identity - building an entirely new category of software from the ground up.

Sector
Sonic branding / AI media
Services
Product design, AI engineering, cloud
Timeline
Multi-phase, ongoing
Region
Global · EU-led
THE BRIEF

Audio, treated as a first-class brand asset

Brands invest heavily in how they look, yet their sound is scattered across agencies, files and one-off productions - impossible to govern, reuse or measure. amp set out to change that: to make audio a top strategic priority, managed as rigorously as any visual identity.

They needed more than a tool. They needed an operating system for sound - and a software partner who could invent it.

THE CHALLENGE

One platform for an entire discipline

Unify a Million+ track library, generative AI composition, thousands of synthetic voices across dozens of languages, audience prediction and live monitoring - inside a single, coherent product that a global brand team could actually operate. No reference existed to copy; every workflow had to be designed and proven from scratch.

OUR APPROACH

Architecture first, then relentless iteration

We started with the hardest questions - data model, media pipeline and the AI systems for generation and prediction - and locked the architecture before shipping a line of product UI. From there we released working software on a weekly cadence, tuning each capability against real brand use.

One senior team owned strategy, design, engineering and operations end to end, so decisions never got lost in a hand-off.

WHAT WE BUILT

An end-to-end AI audio OS

A production platform spanning a searchable Million+ track catalogue, generative AI music, 3,000 AI voices across 60 languages, predictive performance scoring and continuous monitoring - all deployable to a brand’s channels from one place. It is, to our knowledge, the first end-to-end AI audio operating system ever shipped.

Four pillars, one platform

The entire audio lifecycle - discover, create, prove and govern - inside a single operating system.

CURATE

Find the perfect track

Up to 30M pre-cleared tracks with an AI search that understands your brand, briefs, videos, audiences and moments.

CREATE

Generate music & voice

New music in any style via a GenAI agent, plus voiceovers in 3,000 voices across 60 languages that learn your brand.

PREDICT

Prove the impact

Forecast audio effectiveness by audience, market, brand fit and moment - shortlist the track that will actually perform.

MONITOR

Govern usage & spend

Track use, spend and savings across every market, with trends and stats that drive efficiency and consistency.

The problems it kills

01

Music search that drags

Finding the right track is slow and inefficient. An agentic AI assistant turns briefs, reference tracks and videos into the right music in seconds.

02

Licensing that tangles

Rights and legal hurdles slow everything down. 30M pre-cleared tracks and copyright-safe GenAI music remove the friction.

03

Impact you cannot measure

No data to prove what works. A prediction engine and cross-market monitoring turn audio from guesswork into a measured decision.

The results
Million+
TRACKS INDEXED
3,000
AI VOICES · 60 LANGUAGES
1st
END-TO-END AI AUDIO OS
∞
ONE SOUND, EVERY CHANNEL
BUILT WITH
ReactTypeScriptPythonPyTorchGenerative AudioVector SearchGCPTerraformReal-time Streaming
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