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80%
Up to 80% time & cost reduction
AudioApollo handles the listening, flagging, and tagging at scale. Your team only reviews and signs off.
90%+
Client-validated accuracy
Internal and independent validation on live catalog data.
Proprietary Technology

Built from the
Ground Up.

AudioApollo is not adapted from general-purpose AI. In a market flooded with one-size-fits-all tools, we build and control our own technology - purpose-built for music publishing QC. That specificity is what delivers better accuracy, faster turnaround, and real cost reduction for our clients.

Built from the Ground Up
Full control over model architecture, training data, and output format - optimized for the specific demands of music publishing.
Optimized for One Domain
General-purpose AI is trained to do many things adequately. Our models are trained to do one thing exceptionally - delivering accuracy and results that generic tools can't match.
Proprietary Core
Core models built and trained in-house, optimized for music publishing from the ground up.
The Problem

Manual QC
Doesn't Scale.

Music publishing is growing fast. Your team isn't. Manual QC is slow, fatiguing, and inconsistent - and it's costing you sync placements.

Hidden errors in every catalog
A typical manual QC pass misses ~15% of issues - glitches, broken stems, metadata mismatches that kill sync deals.
Up to 80% cost reduction on QC
Manual QC is expensive and doesn't get cheaper as your catalog grows. AudioApollo cuts the cost dramatically - without cutting accuracy.
Catalog growth = growing backlog
Adding tracks without adding QC headcount means errors compound. Taxonomy drift makes search and discovery worse over time.
Without AudioApollo
With AudioApollo
Daysper album QC pass
Minutessame coverage
~15%issues missed on average
90%+client-validated accuracy
Scaleswith headcount only
Scaleswithout new FTEs
Driftstags inconsistent over time
Consistenttags standardized at ingestion
The Platform

Five Modules.
One Pipeline.

Everything you need to QC audio, stems, and metadata - including generating stems that don't yet exist.

01
Glitch Sentinel
Automatically detects and timestamps common audible defects across your entire catalog. No more listening fatigue, no more missed errors.
Clicks & Pops Dropouts Clipping Noise Bursts Phase Issues Alternate Mixes Edit Points
Industry First
02
Stem Integrity Engine
Turns a fully manual stems review into a quick, assisted workflow. Flags missing stems and sync misalignment before they cost you a placement.
Missing Stems Sync Misalignment Master Deviation (V2) Alternate Mixes
Industry First
03
Tagging Intelligence
Multi-label tagging at mix and stem level. Consistent genre, mood, instrumentation, and keywords - built for catalog scale, with human-level performance.
Genre Mood Instrumentation BPM & Key Energy
04
Taxonomy TranslationUnder Development
Map tags directly to any partner taxonomy, or go further: we re-analyse the audio against the destination taxonomy, producing clean native metadata - not a translation of past errors.
Label-to-Label Label-to-Platform Label-to-DSP
05
Stem GenerationComing Soon
Most catalogs lack stems entirely - limiting sync potential before QC even begins. We're building a stem generation engine that creates professional-grade stems from mixed audio, with minimal artefacts, timeline-precise editing, and intuitive controls. It opens sync opportunities that didn't previously exist.
Stem Generation Timeline Editing Minimal Artefacts Intuitive Controls
How It Works

Three Steps.
Clean Catalog.

1
Submit Your Audio
Send us your tracks, stems, and metadata via your preferred method. We handle the rest.
2
Automated Analysis
AudioApollo runs glitch detection, stem validation, and tagging across your full catalog - in minutes, not days.
3
Receive Your QC Report
Get a structured report with timestamped detections, tagging results, and flagged issues - ready for your team to act on.
How to Access

Flexible
Delivery.

AudioApollo adapts to your setup. Choose the delivery method that fits your workflow and infrastructure.

Managed Service
Available Now
Send us your audio, stems, and metadata. We run the full QC pipeline and return a structured report - no setup, no integration required.
API Access
Available Soon
Integrate AudioApollo directly into your ingestion pipeline via API. Automate QC at the point of submission without manual intervention.
Remote QC
Available Soon
Run QC on your own infrastructure with enhanced privacy features. Your audio never leaves your environment - ideal for catalogs with strict data requirements.
Use Cases

Three Challenges.
One Platform.

Whether you're scaling a growing library or integrating a newly acquired catalog, AudioApollo fits the workflow.

Post-Acquisition
Catalog Health Check
Catalog Acquirers & Funds
Every acquired catalog carries hidden QC debt - missing stems, metadata gaps, inconsistent tags. It surfaces post-close as operational cost and client complaints. AudioApollo finds it before it becomes a problem.
  • Audit newly acquired tracks before they hit your licensing platform
  • Identify QC issues that affect sync readiness and discoverability
  • Standardize metadata across merged catalogs from day one
  • Flag audio quality issues before they surface as client complaints
Scaling Library
QC Operations
Publishers & Libraries
At 10,000+ tracks and growing, manual QC becomes the bottleneck. Inconsistent standards, taxonomy drift, and listener fatigue mean errors compound over time. AudioApollo scales with your catalog - not your headcount.
  • Run QC across large ingestion batches without adding staff
  • Enforce consistent tagging and metadata standards at scale
  • Clean up back-catalog errors that have accumulated over time
  • Free your team to focus on creative and commercial work
QC Cost
Reduction
All Publishers & Libraries
Manual QC is a recurring operational cost that scales with catalog size - more tracks means more hours, more budget. AudioApollo cuts that cost by up to 80% without reducing coverage or accuracy.
  • Up to 80% reduction in QC time and cost per album
  • Scale ingestion and catalog clean-up without new FTEs
  • Cost savings compound as your catalog grows
  • Free budget currently spent on manual listening for higher-value work
Free Test Run

See It Work
On Your Music.

Send us up to 100 tracks. We'll run AudioApollo across your audio, stems, and metadata, and return a full QC report. No commitment, no setup required.

Get a Free QC Report Book a Demo
Up to 100 tracks. Full report. Zero commitment.
Who It's For

Built for the
Music Industry.

AudioApollo serves any B2B organization that manages, ingests, or distributes music at scale.

Music Publishers
Music Libraries
Sync Platforms
Record Labels
Rights Holders
Music Supervisors
Distribution
Studio & Production
Music Marketplaces
Catalog Acquirers
Investment Funds
Testimonials

What Our Clients Are Saying

Martin Haene headshot

“We use this service to check our audio deliverables, including mixes and stems, for completeness, sync accuracy, and possible glitches. It has become a valuable part of our production workflow and has helped us further streamline our quality control process.

AudioApollo reduces the time required for the corresponding quality check by a factor of 5.”

- Martin Häne, Nuvotone Production Music

The Team

Creative DNA.
Technical Execution.

Nick Philippopoulos
Nick Philippopoulos
Founder — Product & Business
Founder of Synklisi, where he has helped R&D-heavy startups secure their first customers and revenue — including ventures backed by ESA and EIC. Composer and music producer with first-hand knowledge of publisher and supervisor workflows.
Max Hilsdorf
Max Hilsdorf
Lead Audio AI Architect — R&D
Leads model and pipeline development for tagging, glitch detection, and taxonomy translation. Background in Musicology & Data Science (JLU Giessen). Built production-grade systems for music-tech teams including Cyanite.
George Sakellariou
George Sakellariou
Fractional AI Expert — Data, Infrastructure & Security
Owns AI infrastructure and data strategy, from PoC to scaled deployment. Translates technical choices into measurable business outcomes. PhD in AI, Imperial College London. Mentor to startup board advisors.
Get in Touch

Let's Talk.

Questions about AudioApollo, pricing, or a free test run? Send us a message and we'll get back to you shortly.

We'll respond within one business day.