Granular editing tools caused database costs to balloon. Zilliz Cloud cut expenses by 7x while retrieving cohesive audio loops.
An AI-driven music platform serving 1.5 million creators and generating over 6 million royalty-free tracks for filmmakers, podcasters, and game developers.
As the platform added fine-grained editing capabilities, frequent queries caused costs to balloon on their previous managed database service. Network...
“When we realized we could do better and couldn't store everything on disk as we scaled, we started looking at alternatives. We needed something that would allow us to clean up our code base by removing all the functions doing similarity operations and replacing them with simple queries.”
Beatoven.ai's Music generation is part of this use case:
Generative AI platform for creating royalty-free background music and sound effects.
Vector database platform for building and scaling AI applications.
Related implementations across industries and use cases
Pitch prep took days of manual searching. AI retrieves clips from 10M assets in <300ms, cutting proposal timelines from 7 days to 2.
Keyword search choked on 500k files. Switching to vector embeddings now scales detection to 250M audio fingerprints in real time.
Cloud negotiations took weeks while usage tripled. Migrating to optimized H100s cut costs 60% and sped up inference 3x.
Automated videos sounded robotic. Voice cloning now generates thousands of unique messages that mimic the sender's natural tone.
Stitching disjointed clips limited realism. Now, conversational AI generates fluid dialogue flows, boosting subscriptions 20%.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Granular editing tools caused database costs to balloon. Zilliz Cloud cut expenses by 7x while retrieving cohesive audio loops.
An AI-driven music platform serving 1.5 million creators and generating over 6 million royalty-free tracks for filmmakers, podcasters, and game developers.
As the platform added fine-grained editing capabilities, frequent queries caused costs to balloon on their previous managed database service. Network...
“When we realized we could do better and couldn't store everything on disk as we scaled, we started looking at alternatives. We needed something that would allow us to clean up our code base by removing all the functions doing similarity operations and replacing them with simple queries.”
Beatoven.ai's Music generation is part of this use case:
Generative AI platform for creating royalty-free background music and sound effects.
Vector database platform for building and scaling AI applications.
Related implementations across industries and use cases
Pitch prep took days of manual searching. AI retrieves clips from 10M assets in <300ms, cutting proposal timelines from 7 days to 2.
Keyword search choked on 500k files. Switching to vector embeddings now scales detection to 250M audio fingerprints in real time.
Cloud negotiations took weeks while usage tripled. Migrating to optimized H100s cut costs 60% and sped up inference 3x.
Automated videos sounded robotic. Voice cloning now generates thousands of unique messages that mimic the sender's natural tone.
Stitching disjointed clips limited realism. Now, conversational AI generates fluid dialogue flows, boosting subscriptions 20%.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.