Case Study
Spheretrax: Agentic AI Music Discovery Platform
Challenge
Music licensing is broken. Creators spend hours searching binary-tagged databases, negotiate weeks for licensing, artists wait months for payments. Legacy platforms lack contextual understanding of creative intent.
Solution
Agentic AI platform using AWS Bedrock, Anthropic Agentcore, and Strands vector database for intelligent music discovery in seconds, transparent 5-click licensing, and instant artist payments.
Key Features
Conversational Discovery - Claude 3.5 Sonnet understands creative intent naturally
Vector-Powered Search - Strands embeddings capture nuanced music similarity
Multi-Agent Orchestration - Discovery, Licensing, Compliance, Payment agents
Real-Time Collaboration - Team feedback on music selections before licensing
Instant Payouts - Artists get 50-75% royalties immediately
Tech Stack
AWS Bedrock | Anthropic Agentcore | Strands | Lambda | React | DynamoDB
Results
| Metric | Target |
|---|---|
| Recommendation Accuracy | 85% |
| Discovery Time | < 3 minutes |
| Licensing Conversion | 35% |
| Active Composers | 500+ |
Why It Matters
Streamlined workflows for creators
Transparent pricing eliminates negotiation
Fair royalty splits attract quality music
Enterprise API for bulk licensing
Ready for cinema, TV, gaming, VR/AR, metaverse