Keyword search choked on 500k files. Switching to vector embeddings now scales detection to 250M audio fingerprints in real time.
A global rights technology platform tracks billions of music snippets daily across YouTube, TikTok, and broadcast media to ensure accurate royalty attribution.
The company's legacy Elasticsearch stack was designed for text keywords, not the high-dimensional vector similarity needed to identify audio...
“We were operating at the edge of what was possible with our old system.”
Music rights management and licensing software for creators and publishers.
Vector database platform for building and scaling AI applications.
Related implementations across industries and use cases
Granular editing tools caused database costs to balloon. Zilliz Cloud cut expenses by 7x while retrieving cohesive audio loops.
Processing trillion-token datasets took months. A native vector engine cut deduplication costs 5x and doubled processing speed.
Legacy databases bottlenecked real-time knowledge for field techs. Serverless vector search cut AI response times from 24 to 14 seconds.
Query spikes choked the old matcher. Zilliz Cloud cut latency to 50ms for 2M daily searches, enabling growth to 100k users.
Attorneys lost 80% of their time sifting through files. AI now scans millions of documents to surface critical evidence in seconds.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
Keyword search choked on 500k files. Switching to vector embeddings now scales detection to 250M audio fingerprints in real time.
A global rights technology platform tracks billions of music snippets daily across YouTube, TikTok, and broadcast media to ensure accurate royalty attribution.
The company's legacy Elasticsearch stack was designed for text keywords, not the high-dimensional vector similarity needed to identify audio...
“We were operating at the edge of what was possible with our old system.”
Music rights management and licensing software for creators and publishers.
Vector database platform for building and scaling AI applications.
Related implementations across industries and use cases
Granular editing tools caused database costs to balloon. Zilliz Cloud cut expenses by 7x while retrieving cohesive audio loops.
Processing trillion-token datasets took months. A native vector engine cut deduplication costs 5x and doubled processing speed.
Legacy databases bottlenecked real-time knowledge for field techs. Serverless vector search cut AI response times from 24 to 14 seconds.
Query spikes choked the old matcher. Zilliz Cloud cut latency to 50ms for 2M daily searches, enabling growth to 100k users.
Attorneys lost 80% of their time sifting through files. AI now scans millions of documents to surface critical evidence in seconds.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.