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Allrites, Asia’s leading marketplace for Film, TV, and Sports content rights, partnered with Visum Labs to build an AI-powered dubbing and subtitling pipeline designed to accelerate global content distribution. The initiative focused on automating multilingual localization while maintaining broadcast-level quality and seamless integration with Allrites’ existing content infrastructure.
Through a combination of cutting-edge AI models, scalable infrastructure, and robust evaluation frameworks, Visum Labs delivered an end-to-end localization solution capable of handling high volumes of content efficiently and at a fraction of the traditional cost.
Impact highlights:
- +15–20% revenue uplift from multilingual catalog expansion and new market access (Spanish, German, English).
- Up to 60% cost reduction in localization through automation and API-based workflows.
- Faster time-to-market and improved global content discoverability.
- AI-ready infrastructure enabling next-gen capabilities like semantic search and automated rights tagging.
Allrites sought to:
- Streamline and automate content localization to reach international audiences faster.
- Improve the cost efficiency of dubbing and subtitling operations.
- Enhance accessibility and user experience with accurate, multi-language content.
Establish a scalable foundation for future AI-driven innovations such as semantic content search.
Allrites sought to:
- Streamline and automate content localization to reach international audiences faster.
- Improve the cost efficiency of dubbing and subtitling operations.
- Enhance accessibility and user experience with accurate, multi-language content.
Establish a scalable foundation for future AI-driven innovations such as semantic content search.
Allrites sought to:
- Streamline and automate content localization to reach international audiences faster.
- Improve the cost efficiency of dubbing and subtitling operations.
- Enhance accessibility and user experience with accurate, multi-language content.
Establish a scalable foundation for future AI-driven innovations such as semantic content search.
