Models missed plot twists hidden in dialogue. Fusing text and video data now automates narrative summaries in four languages.
A content intelligence provider serves the global media industry by using AI to extract deep metadata like moods and emotions from audio and video assets.
Proprietary audio-visual models failed to detect plot twists revealed only in dialogue, such as a character admitting they are a ghost. Developing a...
“Audio-visual models alone couldn’t detect crucial plot details—for instance, that a character is a ghost, if that fact is only revealed in dialogue within the transcript.”
AI-powered video metadata and discovery platform for streaming and media services.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Processing test batches dragged for 30 hours. Vertex AI now runs the pipeline 23x faster, querying billions of nature images in seconds.
Memory limits blocked pro-grade video. Using A100 GPUs and Gemini, Mago cut render times by 40% and boosted resolution by 60%.
Manual dubbing held back global reach. AI now automates voice and frame-level lip-sync in 30 languages, removing technical barriers.
Processing test batches dragged for 30 hours. Vertex AI now runs the pipeline 23x faster, querying billions of nature images in seconds.
Reporters lost hours scrubbing tape. AI now tags visual details—like a cricketer with zinc—surfacing clips from 90 years of history.
Manually illustrating vintage assets would have tripled production time. Now, a 3-person team uses AI to generate and animate the visuals.
Custom analytics required months of full-stack development. Now, self-serve AI apps connect analysts directly to data models.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Models missed plot twists hidden in dialogue. Fusing text and video data now automates narrative summaries in four languages.
A content intelligence provider serves the global media industry by using AI to extract deep metadata like moods and emotions from audio and video assets.
Proprietary audio-visual models failed to detect plot twists revealed only in dialogue, such as a character admitting they are a ghost. Developing a...
“Audio-visual models alone couldn’t detect crucial plot details—for instance, that a character is a ghost, if that fact is only revealed in dialogue within the transcript.”
AI-powered video metadata and discovery platform for streaming and media services.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Processing test batches dragged for 30 hours. Vertex AI now runs the pipeline 23x faster, querying billions of nature images in seconds.
Memory limits blocked pro-grade video. Using A100 GPUs and Gemini, Mago cut render times by 40% and boosted resolution by 60%.
Manual dubbing held back global reach. AI now automates voice and frame-level lip-sync in 30 languages, removing technical barriers.
Processing test batches dragged for 30 hours. Vertex AI now runs the pipeline 23x faster, querying billions of nature images in seconds.
Reporters lost hours scrubbing tape. AI now tags visual details—like a cricketer with zinc—surfacing clips from 90 years of history.
Manually illustrating vintage assets would have tripled production time. Now, a 3-person team uses AI to generate and animate the visuals.
Custom analytics required months of full-stack development. Now, self-serve AI apps connect analysts directly to data models.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.