AI rap generator to test full song ideas fast by comparing two complete takes
Expert data development for frontier AI
Stage
Not given
Established
Founded
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2019
Based in
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Pricing model
Freemium
Contact for pricing
Pricing
Free: three public song generations per day with seven days storage; Starter: $9.93/mo (annual charge $119.2, save 33%) with 600 monthly credits, V5.5 access, private songs, downloads, permanent storage, and commercial use; Plus: $14.95/mo (annual charge $179.4, save 50%) with 2100 monthly credits a
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Key features
Generate two complete rap songs from a single prompt or lyrics
AI Rap Lyrics Generator for creating editable lyric drafts
AI Cover Song Generator to create alternate versions of existing songs
Stem Splitter to separate audio into vocals, drums, bass, guitar, piano and more
Song extension tool to audition next sections
Audio to MIDI conversion for editable melody
Vocal Remover for isolating instrumental backing
Tempo and Key Finder tool for detecting musical parameters
Private song storage for paid subscribers
MP3 and WAV export for downloaded songs
Research-grade datasets with rubrics, reviewer guidance, difficulty tiers and eval slices
Custom data development for specific failure surfaces and use cases
Specialized agents built on expert data evaluated in real workflows
Benchmark-grade environments and evaluation harnesses
Provenance tracking with full audit trails for all labeled data
What makes it different
Compare two different interpretations of the same idea simultaneously to identify stronger creative choices
Change one variable at a time to understand exactly what creates your desired reaction
Test rap ideas audibly before planning every bar or committing to full production
Use generated lyrics as editable drafts that maintain your personal voice before adding music
Access multiple AI models including V5, V5.5, and V6 Pro across different plans
Research-driven data lab focused on quality and frontier-hardness rather than volume
Domain-specific benchmarks and evaluation environments built for real-world, high-stakes failures
Research methodology published and peer-reviewed with 200+ papers
Comprehensive data lifecycle from SFT to RL training to evaluation