Challenge

Built by our partner company, through our agreement with Ommega.io we can source this same talent to build your platform. Developing a reliable automated QC system that could detect both technical and contextual issues—like incorrect text overlays, missing frames, or visual artifacts—across diverse video formats and codecs.

Integrating OCR and AI-based validation to automatically flag incorrect frame content (e.g., mismatched AHHI values or typos) required precise text recognition and comparison logic.

Designing a scalable backend architecture capable of parallel video analysis and real-time report generation for large production pipelines.