MetaForge AI
Audio intelligence for creators. With AI.
Music Intelligence Platform for Smart Releases.
Beta Version v1.0
WE ANALYZE YOUR FILES
Stop releasing blindly. We predict how listeners will respond, show you exactly where they are likely to skip, and tell you what to fix—before you spend a dollar on marketing.
Used by producers in 50+ countries
PROCESS
From Upload to Insight in Minutes
From Upload to Insight in Minutes
Three steps to know how your track will perform on platforms—before anyone hears it
STEP 1
STEP 2
STEP 3
01
Upload Your Track
Drop your MP3 or WAV. Our 9-step pipeline automatically separates stems, analyzes tempo/key/energy, measures loudness, generates fingerprints, and extracts 14+ acoustic features. Processing time: 2-3 minutes per track.
STEP 1
STEP 2
STEP 3
01
Upload Your Track
Drop your MP3 or WAV. Our 9-step pipeline automatically separates stems, analyzes tempo/key/energy, measures loudness, generates fingerprints, and extracts 14+ acoustic features. Processing time: 2-3 minutes per track.
STEP 1
STEP 2
STEP 3
01
Upload Your Track
Drop your MP3 or WAV. Our 9-step pipeline automatically separates stems, analyzes tempo/key/energy, measures loudness, generates fingerprints, and extracts 14+ acoustic features. Processing time: 2-3 minutes per track.
FEATURES
Complete Music Intelligence Stack all-in one place
Everything you need to release confidently, backed by data
Batch Processing
Upload 50 tracks at once. Get skip predictions, engagement heatmaps, and comparison reports in minutes
Batch Processing
Upload 50 tracks at once. Get skip predictions, engagement heatmaps, and comparison reports in minutes
Batch Processing
Upload 50 tracks at once. Get skip predictions, engagement heatmaps, and comparison reports in minutes
ML Skip Prediction
Our XGBoost model trained on real listener behavior predicts which tracks will hook and which will skip
ML Skip Prediction
Our XGBoost model trained on real listener behavior predicts which tracks will hook and which will skip
ML Skip Prediction
Our XGBoost model trained on real listener behavior predicts which tracks will hook and which will skip
AI Assistant
AI tells you exactly what to fix: 'Intro 15 seconds too long' or 'Hook delayed by 23 seconds'—actionable, not generic
AI Assistant
AI tells you exactly what to fix: 'Intro 15 seconds too long' or 'Hook delayed by 23 seconds'—actionable, not generic
AI Assistant
AI tells you exactly what to fix: 'Intro 15 seconds too long' or 'Hook delayed by 23 seconds'—actionable, not generic
A/B Track Comparison
Upload two versions. See which mix has better hook probability, energy arc, and skip resistance—before release
A/B Track Comparison
Upload two versions. See which mix has better hook probability, energy arc, and skip resistance—before release
A/B Track Comparison
Upload two versions. See which mix has better hook probability, energy arc, and skip resistance—before release
Engagement Heatmaps
Visual timeline showing exactly where listeners lose interest. See the 10-second window where your track bleeds engagement
Engagement Heatmaps
Visual timeline showing exactly where listeners lose interest. See the 10-second window where your track bleeds engagement
Engagement Heatmaps
Visual timeline showing exactly where listeners lose interest. See the 10-second window where your track bleeds engagement
Export Everything
PDF reports, CSV analytics, JSON manifests. Integrate with your distribution workflow or share with your team
Export Everything
PDF reports, CSV analytics, JSON manifests. Integrate with your distribution workflow or share with your team
Export Everything
PDF reports, CSV analytics, JSON manifests. Integrate with your distribution workflow or share with your team
OUR CLIENTS
Success Stories to Inspire
Success Stories to Inspire
Discover how businesses and creators achieve results
Producer Marcus Cuts Skip Rates by 45%
Marcus, an independent producer from Atlanta, used MetaForge to analyze his catalog before release. By fixing intro lengths and hook timing based on AI recommendations, he reduced average skip rates from 73% to 28% and increased playlist adds by 3x in his first quarter.
Emily's E-commerce Success
Emily, the CEO of BloomTech, transformed their marketing efforts using AI-powered tools. This shift resulted in a 60% increase in ROI and a 45% improvement in customer personalization, leading to a surge in brand loyalty
"Metaforge showed me my intros, were bleeding listeners at 35 seconds. I cut them to 25s, moved my hooks earlier, and my retention jumped immediately. This is like having a A&R in my laptop." — Brick J, Independent Producer
Producer Marcus Cuts Skip Rates by 45%
Marcus, an independent producer from Atlanta, used MetaForge to analyze his catalog before release. By fixing intro lengths and hook timing based on AI recommendations, he reduced average skip rates from 73% to 28% and increased playlist adds by 3x in his first quarter.
Emily's E-commerce Success
Emily, the CEO of BloomTech, transformed their marketing efforts using AI-powered tools. This shift resulted in a 60% increase in ROI and a 45% improvement in customer personalization, leading to a surge in brand loyalty
"Metaforge showed me my intros, were bleeding listeners at 35 seconds. I cut them to 25s, moved my hooks earlier, and my retention jumped immediately. This is like having a A&R in my laptop." — Brick J, Independent Producer
Producer Marcus Cuts Skip Rates by 45%
Marcus, an independent producer from Atlanta, used MetaForge to analyze his catalog before release. By fixing intro lengths and hook timing based on AI recommendations, he reduced average skip rates from 73% to 28% and increased playlist adds by 3x in his first quarter.
FAQ'S
Frequently Asked Questions
Everything you need to know about MetaForge
Still Have Questions?
Still have questions? Feel free to get in touch with us today!
How does MetaForge predict skip rates?
MetaForge uses a AI machine learning model trained on real listener behavior data. We analyze features including tempo, energy, timbre, hook timing, intro length, and loudness dynamics. Our algorithm identifies patterns that correlate with skip behavior and predicts whether listeners will stay engaged or skip within the first 30 seconds. Current accuracy: 60%+ on skip prediction.
Do I need technical knowledge to use MetaForge?
No! Simply drag and drop your MP3 or WAV file into the dashboard. MetaForge automatically processes your track through our 9-step pipeline and delivers a complete analysis report in 2-3 minutes. The interface is designed for artists and producers—no coding or audio engineering expertise required. If you can upload a file, you can use MetaForge.
What file formats do you support?
MetaForge accepts MP3, WAV, FLAC, and AIFF files up to 20MB. For best results, upload high-quality exports (320kbps MP3 or 44.1kHz WAV minimum). We recommend uploading your final mix or pre-master—the closer to your release version, the more accurate the predictions. Batch processing supports up to 50 tracks at once on Pro plans.
How long does analysis take?
Individual track analysis: 2-3 minutes. This includes stem separation, acoustic feature extraction, loudness normalization, fingerprinting, and ML skip prediction. Batch processing (10+ tracks): 5-10 minutes depending on file sizes. Results are delivered instantly to your dashboard with downloadable PDF, CSV, and JSON reports. No waiting, no queues—pure processing time.
Is my music secure? Do you own my rights?
Absolutely not. You retain 100% ownership of your music. MetaForge analyzes your audio but does NOT store, distribute, or claim any rights to your tracks. Files are processed in secure cloud infrastructure, encrypted in transit and at rest, and automatically deleted after 30 days. We never train our models on your proprietary music without explicit consent. Your IP is yours, always.
FAQ'S
Frequently Asked Questions
Everything you need to know about MetaForge
Still Have Questions?
Still have questions? Feel free to get in touch with us today!
How does MetaForge predict skip rates?
MetaForge uses a AI machine learning model trained on real listener behavior data. We analyze features including tempo, energy, timbre, hook timing, intro length, and loudness dynamics. Our algorithm identifies patterns that correlate with skip behavior and predicts whether listeners will stay engaged or skip within the first 30 seconds. Current accuracy: 60%+ on skip prediction.
Do I need technical knowledge to use MetaForge?
No! Simply drag and drop your MP3 or WAV file into the dashboard. MetaForge automatically processes your track through our 9-step pipeline and delivers a complete analysis report in 2-3 minutes. The interface is designed for artists and producers—no coding or audio engineering expertise required. If you can upload a file, you can use MetaForge.
What file formats do you support?
MetaForge accepts MP3, WAV, FLAC, and AIFF files up to 20MB. For best results, upload high-quality exports (320kbps MP3 or 44.1kHz WAV minimum). We recommend uploading your final mix or pre-master—the closer to your release version, the more accurate the predictions. Batch processing supports up to 50 tracks at once on Pro plans.
How long does analysis take?
Individual track analysis: 2-3 minutes. This includes stem separation, acoustic feature extraction, loudness normalization, fingerprinting, and ML skip prediction. Batch processing (10+ tracks): 5-10 minutes depending on file sizes. Results are delivered instantly to your dashboard with downloadable PDF, CSV, and JSON reports. No waiting, no queues—pure processing time.
Is my music secure? Do you own my rights?
Absolutely not. You retain 100% ownership of your music. MetaForge analyzes your audio but does NOT store, distribute, or claim any rights to your tracks. Files are processed in secure cloud infrastructure, encrypted in transit and at rest, and automatically deleted after 30 days. We never train our models on your proprietary music without explicit consent. Your IP is yours, always.
FAQ'S
Frequently Asked Questions
Everything you need to know about MetaForge
Still Have Questions?
Still have questions? Feel free to get in touch with us today!
How does MetaForge predict skip rates?
Do I need technical knowledge to use MetaForge?
What file formats do you support?
How long does analysis take?
Is my music secure? Do you own my rights?