Pitch prep took days of manual searching. AI retrieves clips from 10M assets in <300ms, cutting proposal timelines from 7 days to 2.
An AI-powered creative platform serving over 2,000 teams supports directors and agencies by managing a library of nearly 10 million video assets.
Preparing commercial concepts took days due to manual searches through folders, while the platform's self-managed database struggled with memory...
“We tested every mainstream vector database, and Milvus delivered the best overall performance.”
AI-powered video reference search and storyboard platform for creators.
Vector database platform for building and scaling AI applications.
Related implementations across industries and use cases
One-hour videos took 20 minutes to transcribe. A new inference engine processes them in 15 seconds.
Cloud negotiations took weeks while usage tripled. Migrating to optimized H100s cut costs 60% and sped up inference 3x.
Legacy tools choked on billions of records. A central vector store now unifies fragmented apps for 5x faster, context-aware search.
Reporters lost hours scrubbing tape. AI now tags visual details—like a cricketer with zinc—surfacing clips from 90 years of history.
Models missed plot twists hidden in dialogue. Fusing text and video data now automates narrative summaries in four languages.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Data scattered across systems forced generic content. Now, AI agents surface personalized stats and videos via chat during live matches.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Pitch prep took days of manual searching. AI retrieves clips from 10M assets in <300ms, cutting proposal timelines from 7 days to 2.
An AI-powered creative platform serving over 2,000 teams supports directors and agencies by managing a library of nearly 10 million video assets.
Preparing commercial concepts took days due to manual searches through folders, while the platform's self-managed database struggled with memory...
“We tested every mainstream vector database, and Milvus delivered the best overall performance.”
AI-powered video reference search and storyboard platform for creators.
Vector database platform for building and scaling AI applications.
Related implementations across industries and use cases
One-hour videos took 20 minutes to transcribe. A new inference engine processes them in 15 seconds.
Cloud negotiations took weeks while usage tripled. Migrating to optimized H100s cut costs 60% and sped up inference 3x.
Legacy tools choked on billions of records. A central vector store now unifies fragmented apps for 5x faster, context-aware search.
Reporters lost hours scrubbing tape. AI now tags visual details—like a cricketer with zinc—surfacing clips from 90 years of history.
Models missed plot twists hidden in dialogue. Fusing text and video data now automates narrative summaries in four languages.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Data scattered across systems forced generic content. Now, AI agents surface personalized stats and videos via chat during live matches.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.