Sieve

Sieve is a data provider that sources, filters, annotates, and delivers multimodal datasets for training AI models. It addresses the challenge of obtaining high-quality video, audio, image, and interaction data, which is a bottleneck for developing advanced multimodal systems that need to understand how the world looks, sounds, and moves.

The platform processes multimodal data through a pipeline that includes sourcing from real-world, digital, and simulated environments, filtering for quality and compliance, indexing with purpose-built detectors, and adding dense annotations like captions, transcripts, and action metadata. It offers capabilities for coherent video scenes, editing pairs, and synchronized audio-visual data, and can deliver custom datasets or environments based on specific research needs.

Sieve is built for research teams at AI labs, large enterprises, and startups working on generative media, robotics, computer use, and world models. It provides ready-to-use datasets and custom collection services, with access structured through a purchase agreement based on data volume, task complexity, and annotations.