Cyanite provides AI tagging and search for music catalogs via Web App and API, including auto-tagging, descriptions, similarity and free-text search.
Cyanite builds AI music tagging and search infrastructure for music teams and companies. It offers tagging, descriptions, similarity search, and free-text search to understand and organize large music catalogs, accessible through a Web App or API. The system helps music professionals manage metadata at scale and integrate with existing workflows.
The technology supports efficient workflows by providing clear tagging categories and an interface that focuses on consistent tagging and a common understanding of music perception across teams. It aims to enable efficient discovery, organization, and monetization of music catalogs using AI-powered tools.
Cyanite’s solutions include auto-tagging, natural-language descriptions, and a search engine designed for business use. The platform emphasizes data control, with in-house algorithms and strong data security standards to support reliable search and metadata for music libraries and catalogs.
It highlights integrations with catalog systems and an API to extend capabilities into customer workflows, while continuing to develop new tagging models and rest APIs to scale across larger catalogs.
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