Sieve

The platform is designed to make state-of-the-art video AI accessible to development teams that want to build video-powered products without becoming video AI researchers.

The API's composable architecture allows developers to chain multiple video processing capabilities together into custom pipelines for example, transcribing a video, identifying the speaker for each segment, extracting key topics from the transcript, and generating a chapter structure with descriptive titles all within a single workflow executed through sequential API calls.

This composability enables the rapid prototyping of complex video intelligence applications that would require extensive custom engineering to build from individual model components.

Sieve's scalable cloud infrastructure handles the GPU compute required to process video at the frame rates and resolutions modern media production demands without requiring clients to provision and manage their own GPU infrastructure.

Sieve is used across media and entertainment for content analysis and searchability, in e-commerce for automated product video processing and visual search, in security for video surveillance intelligence, and in developer tooling for building AI-native video applications.

Its pricing model is consumption-based, with costs tied to minutes of video processed and API calls made allowing early-stage projects to start at low cost and scale cost proportionally as usage grows.

Comprehensive documentation, example notebooks, and a responsive developer support team accelerate the path from API access to working video AI application.