Project Sonata
AI-Native Media Production Pipeline — Professional Quality at Catalogue Scale
Challenge
A content studio identified a market opportunity in premium children's audiobooks but was constrained by unit economics: traditional studio production was cost-prohibitive at catalogue scale, while quality compromises had failed to gain traction.
AI Solution Applied
Designed an end-to-end AI audio production pipeline: voice synthesis (ElevenLabs) with custom child-appropriate profiles, script preprocessing (spaCy NLP), automated audio post-processing (FFmpeg), and QA layer with anomaly detection flagging synthesis issues for human review.
Business Outcome
Per-title production cost reduced by ~70–80% versus traditional studio production. Time to completed audiobook reduced from 6–8 weeks to 5–7 business days. Active catalogue scaled from single-digit titles to 30+ publications within the first production quarter.
Enterprise Relevance
Demonstrates pipeline thinking: the value is not in any single model call but in the orchestrated sequence of preprocessing, generation, post-processing, and validation. Applicable to legal document narration, multilingual corporate communications, and training material production.