Ateme
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Ateme has 3 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 1 country.
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Hyperscaler mix
See whether Ateme's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How Ateme builds AI
Build / Buy / Compose across this company's documented cases
3 of 3 cases classified (100%) · Compare all use-case types
Use case portfolio
Use case types at Ateme
Accessible learning leads with 1 of 3 documented cases; 3 distinct types appear across the visible portfolio.
Technology snapshot
What Ateme uses across visible cases
6 named technologies are mentioned across 3 cases, led by Google Kubernetes Engine.
Capability mix
No capability flags are attached to these cases yet.
All Use Cases (3)
Ateme: automated multilingual subtitle generation using Vertex AI and Gemini
Ateme, a French company in video compression and delivery, automated multilingual subtitle generation with Google Cloud generative AI. After video transcoding, it triggers Vertex AI and Gemini to transcribe audio, spot timecodes, and generate subtitles, then reformats output into SRT for its Titan File platform and client workflows. The solution reduced subtitle production from hours of manual work to minutes, lowered per-hour subtitle cost to under a dollar, and improved scalability, accessibility, and profitability for video catalogs.
Ateme automated multilingual subtitle generation using Vertex AI and Gemini
Ateme is a French video technology company that automates large-scale multilingual subtitle generation for streaming and broadcast customers.The solution replaces a previously manual process that required transcription, translation, timecode spotting, and technical integration.Ateme integrated Google Cloud generative AI into its existing workflow so subtitles can be generated and delivered in minutes.
Ateme Automates Multilingual Subtitling with Google Cloud Generative AI
Ateme automated the complex and time-consuming process of multilingual subtitle generation using Google Cloud's generative AI services, reducing subtitle creation time from 15 hours to minutes.The integration with Google Cloud's Vertex AI and Gemini models enables automatic audio transcription, timecode spotting, and subtitle generation in multiple languages, meeting broadcasters' accuracy expectations.Ateme leveraged a cloud-native architecture on Google Kubernetes Engine and Cloud Storage to build a scalable, fully integrated subtitling workflow.This innovation significantly lowers costs, enhances content accessibility including for disabilities, and helps clients comply with regulatory requirements.
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