Packaged training datasets, evaluation sets, and environments delivered for AI research workflows.
Sieve works with AI research teams to create training datasets, evaluation sets, and environments for multimodal systems. Its offerings include video, audio-visual, editing-pair, and interaction data, collected across real-world, digital, and simulated settings. The company describes a workflow of sourcing, filtering, indexing, annotating, and delivering data, with annotations such as transcripts, labels, action metadata, and temporal alignment. Teams can request samples and scope dataset volume, metadata, licensing, quality assurance, and delivery format with Sieve.
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