Sieve

Sieve is a web-based video data research lab for AI research teams, frontier labs, and enterprises that need high-quality curated video datasets for training and evaluating video models.

Key capabilities include:

• Video sourcing at scale, combining videos recorded from scratch with aggregation from many sources to build a large raw pool
• Quality filtering, scoring candidates for artifacts, resolution, motion, and aesthetics to keep only high-quality clips
• Indexing and search, using detectors and embeddings to make billions of videos searchable for dataset construction
• Dense annotation and pairings, produced with expert models plus human checks to deliver training-ready datasets

Pricing: Paid, via purchase agreements based on dataset volume and characteristics; free data samples are available by request.

What makes it notable is its end-to-end process for delivering training-ready video datasets (source, filter, index, annotate, query) and its ability to deliver pre-packaged data within 1–2 days or custom datasets on an SLA via S3-compatible transfer, with security controls including end-to-end encryption and SOC 2 Type 2 security.