Cyanite
Cyanite, founded in 2020, is a Berlin-based AI company specializing in music analysis and metadata generation.
Profile
AI that listens to music and automatically describes what it hears in words.
Cyanite, founded in 2020, is a Berlin-based AI company specializing in music analysis and metadata generation. The company's neural network-based platform analyzes audio to automatically tag tracks with attributes like genre, mood, and instrumentation, addressing the challenge of organizing large music catalogs. In January 2026, Cyanite raised $150 million in Series A funding, signaling strong investor confidence in its technology.
The company serves music publishers, streaming platforms, and production libraries, with clients including Warner Chappell, BMG, and Epidemic Sound. Cyanite's approach focuses on analyzing the audio itself rather than relying on existing metadata, which sets it apart in a crowded market. Recent developments include expanded capabilities in natural language descriptions of music and free-text search functionality. The company faces competition from established players like Spotify's AI tools and startups such as Musiio, while also navigating industry debates around AI's role in music creation and labeling.
Who buys this
- Music publishers and rights organizations
- Streaming platforms and DSPs
- Production music libraries
- Film/TV/game music supervisors
- Record labels and catalog managers
Publicly disclosed clients
- Warner Chappell
- BMG
- Epidemic Sound
- APM Music
- Pond5
Strengths and what to watch
Strengths
- Proprietary neural networks trained specifically for music analysis rather than general audio
- Ability to process large catalogs quickly with consistent tagging
- Growing roster of enterprise clients in music publishing and production
- Recent $150M Series A provides runway for product development
Watch for
- Competition from streaming platforms developing in-house AI tools
- Industry debate around AI labeling requirements for music
- Dependence on music industry adoption as primary market
- Potential saturation in production music segment
Recent moves
Key Information
- Founded
- 2020
- Headquarters
- Berlin, Germany
Frequently Asked Questions
What does Cyanite's AI do for music?
Cyanite's AI analyzes audio to automatically generate descriptive metadata like genre, mood, and instrumentation. Its neural networks focus specifically on music analysis, helping publishers and streaming platforms organize large catalogs without relying on existing tags. The Berlin-based company serves clients including Warner Chappell and Epidemic Sound.
How does Cyanite's technology differ from other music AI?
Unlike general audio analysis tools, Cyanite specializes in music-specific neural networks that extract nuanced attributes directly from audio waveforms. This approach skips reliance on pre-existing metadata, providing fresh insights for catalog management. Competitors include Spotify's in-house tools and startups like Musiio.
Who uses Cyanite's music analysis platform?
Major clients include music publishers (Warner Chappell, BMG), streaming platforms, and production libraries (Epidemic Sound, APM Music). The platform helps these enterprises automatically tag large music catalogs, improve searchability, and manage rights—particularly valuable for film/TV supervisors and catalog managers.
How much funding has Cyanite raised?
Cyanite secured $150 million in Series A funding in January 2026, signaling strong investor confidence. The Berlin startup will use this to enhance its music analysis capabilities and expand its client base amid growing competition from streaming platforms' in-house AI tools.
What are the challenges for AI music tagging like Cyanite?
Key challenges include competition from platforms developing their own AI tools, industry debates about mandatory AI labeling for music, and market saturation in production music. Cyanite's focus on proprietary neural networks for audio analysis differentiates it in this evolving landscape.
Can Cyanite describe music in natural language?
Yes, recent developments include expanded natural language descriptions of music attributes and free-text search functionality. This allows users to query catalogs using descriptive phrases rather than rigid tags, benefiting music supervisors and publishers managing diverse collections.
Sources
- www.linkedin.com — $150M Series A funding round
- cyanite.ai — Product offerings and client logos
- cyanite.ai — Technical approach using neural networks
- cyanite.ai — Industry research on AI in music creation