Sieve is a San Francisco-based data infrastructure company focused on building the systems that power advanced video artificial intelligence. The firm combines exabyte-scale video infrastructure with video understanding techniques to develop and deliver high-quality datasets for video modeling. Its technology handles sourcing, filtering, indexing, and annotating video, audio, image, and interaction data at massive scale, indexing billions of such assets.
The company operates at Series A stage and has achieved significant revenue. Its technical work spans video data infrastructure, multimodal data processing, and data annotation, serving clients in AI research and video modeling industries.
Sieve maintains a team of 15 people working in person from its San Francisco headquarters. The engineering culture emphasizes direct project ownership from end to end, with an expectation of writing clean, maintainable code and moving quickly without creating brittle systems. The company values strong communication, a bias to action, and a deep passion for video, media technologies, and frontier AI applications.
