Hsverify
HumanStandard provides AI detection technology that helps music platforms, labels, distributors, and rights teams verify human authorship and identify AI-generated, human, or hybrid audio. The company's enterprise API analyzes tracks through multiple detection models to deliver transparent, evidence-based signals with auditable confidence levels, supporting real-world moderation workflows where false positives are costly.
- Artificial Intelligence
- Enterprise Software
- Music Technology
- Regulatory & Compliance Technology
- Software Only
Funding
Founders
Product
Problem
Modern music production increasingly blends live performance, digital production, and generative AI tools, making it difficult for platforms and rights holders to distinguish between human-created and AI-generated content. Existing detection methods often rely on opaque, single-score outputs that fail to account for hybrid compositions, leading to costly false positives and enforcement errors that harm legitimate artists.
Solution
HumanStandard provides an enterprise-grade detection platform that identifies synthetic, human, and hybrid characteristics across audio tracks using multiple detection models. The system analyzes voice and instrumental components separately, delivering transparent, evidence-based signals with confidence levels that fit into policy, legal, and operational workflows. Designed for high-volume moderation, the platform supports rapid screening of large track volumes, routes uncertain cases to human review, and produces auditable reports that protect legitimate artists from accidental enforcement. Detection outputs are structured to be understandable and defensible, with clear summaries that meet RIAA standards for AI labeling.
Target Audience
Primary customers include music streaming platforms, record labels, distributors, rights management teams, and IP/music law firms that need to verify human authorship, detect unauthorized AI derivatives, and manage AI-related policy compliance. The platform also serves individual creators seeking to demonstrate provenance and defend the value of their human work.
Features
- Fully generative detection that identifies direct text-to-audio model outputs from systems like Suno, Lyria, and ElevenLabs
- Hybrid detection that separates voice and instrumental tracks to pinpoint where AI appears in a composition
- Enterprise API capable of processing 10M+ tracks per month with false positive rates averaging below 0.01% by style
- Certified AI derivative detection that generates reports for unauthorized use of copyrighted audio in audio-to-audio models
- Lyric detection in alpha testing through a certified text detection partner, with cover art detection in development
- Instagram bot for non-commercial track verification, allowing listeners to check if a song is AI-generated by direct message