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Sieve

Sieve

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Tagline:High-quality video, audio, image, and interaction data for frontier AI
Updated:October 22, 2026
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56Domain Rating by Ahrefs
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Sieve
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What is Sieve?

Sieve is a multimodal data lab providing research-grade video, audio, image, and interaction data for frontier AI systems. The platform captures, filters, indexes, and annotates petabytes of multimodal data with purpose-built detectors, temporal alignment, and human QA. Datasets and evaluation environments are packaged for training next-generation AI foundation models.
Sieve screenshot 1

How to use Sieve?

Explore catalog capabilities, request sample datasets across target modalities, scope volume and custom annotations with the team, and receive secure delivery.

Sieve Core Features

01

Multimodal Data Sourcing & Indexing

Aggregates and indexes billions of videos, images, audio clips, and interaction traces across real-world, digital, and simulated environments.

02

Dense Annotations & Temporal Alignment

Adds captions, transcripts, object labels, action metadata, camera signals, and human QA at scale.

03

Research-Grade Filtering & Quality Scoring

Scores data for semantics, rights, visual and audio artifacts, and task quality tailored to model training requirements.

04

Secure Enterprise Delivery

Delivers training-ready datasets and evaluation environments with end-to-end encryption, custom retention, and SOC 2 Type 2 controls.

Sieve Use Cases

High Quality Video training for clean motion, physics, and composition

Editing Pairs for controlled media generation and transformation

Audio-Visual Data alignment with synchronized speech, music, and sound

Frontier Multimodal Foundation Model pre-training and evaluation

Sieve Frequently Asked Questions

What types of multimodal data does Sieve provide?

Sieve provides high-quality video, audio, image, and interaction data, including coherent video scenes, editing pairs, synchronized audio-visual clips, and interaction traces.

How does Sieve ensure data quality and compliance?

Data is filtered and scored for semantics, rights, artifacts, and task quality, accompanied by strict licensing, consent, retention protocols, and SOC 2 Type 2 controls.

How do teams start working with Sieve?

Teams explore catalog capabilities, request sample datasets across required modalities, scope custom volume and metadata with Sieve, and enter a purchase agreement for delivery.

Sieve Product Background & Official Links

Sieve Support Email & Customer service contact & Refund contact etc.

Sieve Support Email: support@sievedata.com

More Contact, visit the about us page(https://www.sievedata.com/about)

Sieve Company Info

Sieve Company name: Sieve, Inc.

Sieve Developer Type: company

More about Sieve, Please visit the about us page(https://www.sievedata.com/about)

Sieve Pricing

Sieve Pricing Link: https://www.sievedata.com/contact

Sieve Twitter

Sieve Twitter Link: https://twitter.com/sievedata

Sieve LinkedIn

Sieve LinkedIn Link: https://linkedin.com/company/sievedata

Sieve Pricing & Plans

Enterprise Data Licensing

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  • Custom dataset scoping based on volume and distribution needs
  • Targeted data collection across physical, digital, and simulation workflows
  • Dense labeling, temporal alignment, and specialized metadata schemas
  • Dedicated SLA, SOC 2 Type 2 compliance, and secure delivery transfer
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Sieve Tags

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Software DevelopersData ScientistsExecutives & Decision Makers

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