We interpret music usage across real-world audio, handwritten records and fragmented metadata. By using audio intelligence, document digitization and rights-aware structuring, we transform raw inputs into reliable data that powers copyright workflows, reporting and distribution.
Our multimodal music understanding platform analyzes live, broadcast and platform audio to identify works, versions, covers and derivative signals even under noisy, mixed or short-clip conditions.
We transform paper and digital setlists, cue sheets and usage logs into structured, validated data enriched with metadata and prepared for downstream reporting, rights management and workflows.
At the heart of our platform lies our Music Recognition Engine. A Music Information Retrieval-driven system purpose-built to identify musical works, versions, covers, reinterpretations and derivative signals across real-world audio.
It interprets complex acoustic environments, handles noisy or mixed recordings, detects short excerpts and aligns recognized material with rights-relevant metadata such as ISWC, ISRC and repertoire information.
Whether embedded via SDK, deployed through API or used inside our whitelabel app, the engine provides consistent, rights-accurate music intelligence across every usage context.
Our technology supports diverse industry scenarios — from capture to compliance, from performances to platform uploads.
Automated recognition, document digitization and metadata alignment for fair and transparent royalty distribution.
Accurate cue sheet generation, program-level detection and verification across complex mixes and formats.
Copyright compliance, AI-similarity detection and structured metadata for large-scale audio ingestion workflows.
