What challenges did Ateme face before AI implementation?

Manual subtitle generation was highly time-consuming (up to 15 hours per video hour) and costly, limiting multilingual coverage and content accessibility. Clients faced scalability issues relying on external providers, resulting in restricted audience reach and regulatory compliance challenges.

What was the impact of the AI solution?

Subtitle production time reduced from 15 hours to minutes, lowering costs to under one dollar per video hour for multiple languages. Clients achieve broader international distribution and improved accessibility for non-English and disabled audiences. The scalable cloud solution enables regulatory compliance and enriches user experience with efficient multilingual subtitling.

Source

GCPEvidence: Medium50/100

Ateme Automates Multilingual Subtitling with Google Cloud Generative AI

Use case typeLanguage translationUpdated Jun 13, 2026

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.

Organization: Ateme
Industry: Tech & Comms
Location: France

Reported outcomes

15 hours

timeTime & speed

Strategic outcomes

Speed & agilityAutomated multilingual subtitle generationNew product / capabilityEnabled automatic multi-language subtitlingScale & capacityBuilt a scalable subtitling workflowCustomer experience & trustImproved accessibility and compliance

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Time: 15 hours decrease

Google Cloud Customer StoriesCustomer storyInferred claimMedium evidence strength

Subtitle production time reduced from 15 hours to minutes, lowering costs to under one dollar per video hour for multiple languages.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Ateme
Provider: GCP
Maturity: Unknown
Linked source: Google Cloud Customer Stories

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 2 of 2

1Automated subtitle generation
2Multilingual content accessibility

Manual subtitle generation was highly time-consuming (up to 15 hours per video hour) and costly, limiting multilingual coverage and content accessibility.
Clients faced scalability issues relying on external providers, resulting in restricted audience reach and regulatory compliance challenges.

Ateme integrated Google Cloud's Vertex AI and Gemini models into their existing platform for automated subtitle generation.
The system automatically triggers transcription and subtitle generation post-video transcoding using managed Google Cloud services.
Used a microservices architecture on Google Kubernetes Engine with cloud storage for scalable processing.

Technologies

Vertex AI Gemini models Google Kubernetes Engine Cloud Storage

Subtitle production time reduced from 15 hours to minutes, lowering costs to under one dollar per video hour for multiple languages.
Clients achieve broader international distribution and improved accessibility for non-English and disabled audiences.
The scalable cloud solution enables regulatory compliance and enriches user experience with efficient multilingual subtitling.

Architecture

Architecture includes containerized file transcoding application deployed on Google Kubernetes Engine, using Cloud Storage for media and Vertex AI with Gemini models for transcription and subtitle generation.

Sources & evidence1

Evidence: Medium50/100Evidence strength