Moises Systems
For musicians, producers, and students seeking to isolate tracks for practice, transcription, or remixing.
Known forMoises: The Musician's App
Moises: The Musician's AppFor musicians, producers, and students seeking to isolate tracks for practice, transcription, or remixing.
Moises: The Musician's AppEmpowering musicians to practice and create by providing AI-driven tools for audio isolation and manipulation.
Target audience
Portfolio
Free 2Last updated
Moises: The Musician's App
v2.121.0
2mo ago
Primary focus
AI-powered music utilities and practice tools
Scale
indie
Target audience
Musicians, producers, and students seeking to isolate tracks for practice, transcription, or remixing.
Maintains an intense development pace with 11 updates in the last 6 months for its flagship title, with the most recent release occurring within the last week.
2 apps analysed
Remove vocals and instruments to play with stems extracted from any music/audio.
Freemium gating aligns with musician practice workflows
Analysis in progress
1
Positive apps
0
Neutral / mixed
0
Negative apps
75/100
Avg sentiment score
Dominates the music utility space with massive cross-platform reach and a highly integrated ecosystem that captures the same casual-to-prosumer musician audience.
Strategic outlook coming soon.
What fed this analysis
The primary destination for chord and tab content, creating a massive content-based moat that complements stem-based practice.
Focuses on the audio-processing aspect of the music experience, serving as a utility-level competitor.
The platform-native standard for mobile music production, serving as a high-quality alternative for multi-track editing.
Adjacent music creation tool that targets the same creative musician audience but focuses on production rather than extraction.
Directly utilizes AI for music analysis, overlapping significantly with Moises' core value proposition.
Rapidly emerging in the AI music space with a focus on generation, signaling a shift toward creation-first tools.
Recent entrant focusing on AI-driven composition, representing a new wave of generative music threats.
