Sieve – Multimodal Data Lab for Frontier AI, Video & Audio Annotation | Quasa.io

#Quasa #QUA #Sieve

Sieve is a multimodal data lab for frontier AI. It sources, filters, indexes, and annotates video, audio, image, and interaction data, then delivers training-ready sets. The pipeline is Source, Filter, Index, Annotate, and Deliver. Filters score semantics, rights, artifacts, and task quality. Indexing covers billions of clips with detectors and embeddings. Annotations add captions, transcripts, object labels, action metadata, camera signals, and UI events. Delivery includes packaged datasets, evaluation sets, and environments, with licensing and SOC 2 Type II controls. A separate developer path on Sieve Data still sells video and audio apps, including transcription, dubbing, lipsync, and background removal, on usage pricing with a small free credit. The data-lab sale is a purchase agreement, not a self-serve seat.

𝐂𝗢𝗥𝗘 𝗦𝗧𝗥𝗘𝗡𝗚𝗧𝗛S
• Built for model training, not a consumer editor
• Rights and artifact filters sit in the pipeline
• Editing pairs and audio-visual sync, not raw dumps
• Custom collection across real, digital, and simulated scenes
• Secure delivery with retention controls  

𝗜𝗗𝗘𝗔𝗟 𝗙𝗢𝗥
AI labs and product teams that need licensed, annotated multimodal data and cannot scrape it themselves.

𝗛𝗜𝗚𝗛𝗟𝗜𝗚𝗛𝗧𝗦
• Hundreds of petabytes claimed, with human QA
• Samples before a full buy
• Dense labels and temporal alignment
• Interaction traces for computer-use tasks
• Usage APIs if you only need one video job  

𝗣𝗢𝗧𝗘𝗡𝗧𝗜𝗔𝗟 𝗖𝗢𝗡𝗦𝗜𝗗𝗘𝗥𝗔𝗧𝗜𝗢𝗡𝗦
• Dataset price is quoted, not published
• Petabyte claims are company figures
• A clean set is not a better model by itself
• Rights filters still need your legal review
• The API catalog and the data lab are different products  

𝗢𝗩𝗘𝗥𝗔𝗟𝗟 𝗩𝗘𝗥𝗗𝗜𝗖𝗧
4.2/5 stars. Use Sieve when the bottleneck is data, not another model wrapper. Ask for a sample in your failure mode before you sign the volume. Earn 1 QUA reward by reviewing on Quasa.io too!

𝗚𝗘𝗧 𝗦𝗧𝗔𝗥𝗧𝗘𝗗: https://quasa.io/projects/sieve