New Way Now: Ateme reduces 15-hour video translation to two-click process with Google AI

*Featured in this video:* Remi Beaudouin, Chief Strategy Officer, Ateme *Executive summary:* The broadcast industry is shifting from traditional TV to OTT and global streaming, forcing broadcasters to do more with less while reaching new audiences. Video translation and subtitling traditionally requires support from external specialized companies, creating a financial barrier that prevents multilingual expansion. Ateme, a video streaming solutions provider for broadcasters and platforms that reach billions globally, integrated Google Kubernetes Engine, Vertex AI, and Gemini to orchestrate translation and transcoding. Now, customers select destination languages, click two buttons, and receive deployment-ready streams, turning a 15-hour specialized process into a seamless, scalable workflow. *Challenge:* The broadcast industry is in the midst of a cultural shift as traditional broadcasters lose audiences and revenue to OTT streaming platforms. To compete, they must do more with less by embracing immersive experiences and new content delivery methods. Video translation and dubbing creates a particular challenge: Companies typically have to engage external specialized firms, specify subtitle counts and target languages, then wait through a 15-hour process for each hour of content. This time-intensive, expensive workflow creates a financial barrier to global expansion, as broadcasters can’t afford the investment to reach all desired markets and language communities. *Solution:* Ateme partnered with Google Cloud to transform the video translation process by integrating Google Kubernetes Engine with Gemini and Vertex AI, enabling scale-up and scale-down across any Google data center. Vertex AI and Gemini handle language translation from source to destination languages. Then Ateme transcodes the video and adjusts the audio to produce deployment-ready streams. The entire workflow integrates seamlessly: Customers provide files, select destination languages, and receive loc