Sieve

Founded by Mokshith Voodarla in 2021

Source and curate multimodal video, audio, and image datasets for training frontier models

Pricing model

Demo

Rating

★ Mixed Reviews

Time to value

Moderate Setup (1-3 hours)

You can use Sieve to source, filter, and license high-quality multimodal training data for machine learning models. The service curates large-scale video, audio, image, and interaction datasets tailored to specific research team requirements. Sieve scores media assets for visual quality, semantics, artifacts, and compliance, while attaching dense annotations such as temporal alignments, transcripts, and action metadata. You can explore ready-to-use collections or commission custom real-world and synthetic data captures, receiving training-ready packages through secure, encrypted transfer backed by enterprise data licensing.

What Sieve does

Request multimodal dataset samples for model evaluationDefine custom annotation schemas and temporal alignment labelsFilter raw video datasets for specific camera motions and lighting conditionsIndex billions of media clips using embedding searchLicense verified training data with legal consent trackingDownload training-ready media packages with encrypted transfersMultimodal dataset sourcing across video, audio, image, and digital interactionsAutomated semantic, artifact, and rights filteringDense annotation including transcripts, temporal alignment, and action metadataCurated editing pairs showing before-and-after media statesCustom collection workflows for physical, digital, and simulated environmentsPurpose-built detectors and embedding search for indexing billions of clipsSOC 2 Type 2 compliant delivery with end-to-end encryption