{
  "slug": "acrcloud",
  "name": "ACRCloud",
  "description": "ACRCloud is an audio recognition platform for developers and media teams that need clear, machine-readable information about music, broadcasts, and rights-related workflows. It is a B2B automatic content recognition company that helps teams identify, enrich, and monitor audio content from files, streams, and live broadcasts.",
  "url": "https://optimly.ai/brand/acrcloud",
  "websiteUrl": "https://acrcloud.com/",
  "logoUrl": "https://logo.clearbit.com/acrcloud.com",
  "baiScore": 55,
  "bai_tier_status": "active",
  "bai_score_status": "active",
  "archetype": "Incumbent",
  "archetype_status": "active",
  "category": "Automatic Content Recognition (ACR)",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [],
  "competitorsProse": null,
  "inboundCompetitors": [],
  "aiAlternatives": [],
  "parentBrand": null,
  "subBrands": [],
  "updatedAt": "2026-08-09T00:02:35.325Z",
  "verifiedVitals": {
    "website": "https://acrcloud.com",
    "founded": "2015",
    "headquarters": "Beijing, China",
    "pricing_model": "Flexible, usage-based pricing models.",
    "core_products": "Music Recognition, Music Metadata, AI Music Detector, Broadcast Monitoring, Live Channel Detection, Second Screen Sync, Copyright Compliance, Data Deduplication, Audience Measurement, Humming Recognition, Offline Recognition, Speech to Text.",
    "key_differentiator": "World-leading automatic content recognition technology for developers with reliable, cost-effective, and fast recognition engines. Features include easy integration (API & SDK), top-tier audio fingerprinting algorithms, scalable enterprise-grade architecture, and worldwide low-latency infrastructure, backed by a music recognition catalog of over 150 million tracks.",
    "target_markets": "Music DSPs & Apps, PROs & Labels, Distributors & UGC Platforms, Broadcasters, Advertising & Big Data, Automotive, Brands (for copyright monitoring on social media).",
    "subcategory": "Audio Recognition Platform"
  },
  "intentTags": {
    "problemIntents": [
      "Manual Content Identification: Teams manually listen to or watch content to identify music, monitor broadcasts, or tag metadata, which is extremely labor-intensive, error-prone, and unscalable for lar",
      "Content Monitoring Agency: Outsourcing content identification, broadcast monitoring, or copyright compliance to a specialized agency. While offloading the task, it typically comes with higher costs, l",
      "Ignore Audio Content Monitoring: Choosing not to identify, monitor, or manage audio content, leading to potential copyright infringement, missed opportunities for content monetization/management, and ",
      "In-house Developed Basic Fingerprinting: Developing a basic audio fingerprinting system in-house. This requires significant investment in R&D, infrastructure, and ongoing maintenance, and would likely"
    ],
    "solutionIntents": [
      "ACRCloud music recognition API",
      "broadcast monitoring solutions ACRCloud",
      "ACRCloud AI music detector",
      "Generic Audio Analysis Software: Using general-purpose audio analysis tools or simple metadata extractors that lack specialized content recognition algorithms, large reference databases, or specific f"
    ],
    "evaluationIntents": []
  },
  "businessProfileClaims": [],
  "timestamp": 1786461609707
}