AI-powered artist management platform for independent musicians, managers and labels
Intelligent sample manager for music producers with AI-powered auto-tagging and semantic search
Stage
MVP
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Founded
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Based in
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Pricing model
Freemium
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Pricing
Starter: $10/mo with 500 credits/month; Creator: $39/mo ($33/mo yearly) with 5,000 credits/month; Pro Label: $99/mo ($83/mo yearly) with 15,000 credits/month; Enterprise: $299/mo with 40,000 credits/month. Prices in USD, yearly plans include savings.
€69.99 excl. VAT (one-time purchase). Free trial available with full features capped at 150 samples and 1 library. 14-day money-back guarantee.
Key features
AI-powered mixing and mastering without booking a studio
AI-generated artwork and album covers with identity preservation
AI music video creation with lip sync and storyboarding
Distribution to 150+ streaming stores including Spotify and Apple Music
Photo-to-video with parallax, zoom, pan and pulse motion effects
Automatic lyrics transcription for music catalog
Social media content scheduling in artist's voice
Multi-artist workspaces with role-based permissions for teams and labels
Release campaign management with 8 campaign types
Custom AI agent creation for specific workflows
Intelligent auto-tagging with AI detection of instrument, genre, key, BPM
Galaxy visualization with similar sounds clustered together
Works fully offline after license activation
What makes it different
AI specialists integrated into release workflow, not generic chatbots, with knowledge of your catalog and story
All-in-one platform replacing multiple tools—Photoshop, Pro Tools, Premiere, Canva, DistroKid
AI video creation with identity preservation starring the artist, not generic templates
Switch from competitors like DistroKid without losing streams
One-time purchase with no subscription or recurring fees
AI tagging built specifically for sample libraries, not general-purpose AI
Samples stay on your device; no data uploaded to servers
Native desktop application for macOS, Windows and Linux
Combines audio content, filename and folder context for accurate tagging