N
About
Sieve is a specialized video data research lab built to power the next generation of AI applications. The platform aggregates and curates hundreds of petabytes of video across multiple categories — general-purpose clips, cleanly licensed cinematic content, and paired media with dense annotations — making it an essential resource for teams training video and multimodal AI models. Sieve's end-to-end pipeline covers sourcing, quality filtering (artifacts, resolution, motion, aesthetics), indexing via billions of detector embeddings for instant searchability, and dense annotation using expert models with human QA at scale. Customers can browse ready-to-use datasets, request custom datasets, receive free samples, and then enter purchase agreements for full access — with delivery via S3-compatible transfer in 1–2 days or on a custom SLA. Designed for serious AI research teams, Sieve offers a scalable API capable of processing millions of hours of video concurrently, end-to-end encryption, SOC 2 Type 2 compliance, custom data retention policies, and a dedicated partnership model. It is trusted by leading AI labs, Fortune 100 enterprises, and fast-growing generative AI startups seeking compliant, high-quality training data to build better video understanding, generation, and simulation models.
Key Features
- Hundreds of Petabytes of Curated Video: Access general clips, cleanly licensed cinematic content, and paired media with cohesive storytelling for diverse AI training needs.
- Multi-Stage Data Pipeline: Video is sourced, quality-filtered (resolution, motion, aesthetics, artifacts), indexed with embeddings, and annotated with dense labels before delivery.
- Instant Search via Billion-Scale Index: Billions of videos are indexed with detectors and embeddings, enabling the research team to query and retrieve training-ready datasets instantly.
- Scalable, Secure API: A purpose-built API processes millions of hours of video concurrently with end-to-end encryption and SOC 2 Type 2 certification.
- Custom Dataset Delivery: Receive pre-packaged datasets within 1–2 days or request fully custom datasets delivered via S3-compatible transfer on an agreed SLA.
Use Cases
- Training video generation and video-to-video AI models with large-scale, high-quality curated datasets.
- Building video understanding and computer vision systems using densely annotated paired media.
- Accelerating generative AI research by sourcing compliant, licensed cinematic video content.
- Powering enterprise AI applications that require petabyte-scale video data with strict security and compliance guarantees.
- Developing world simulation models for autonomous systems using diverse, high-fidelity video data.
Pros
- Enterprise-Grade Compliance & Security: SOC 2 Type 2 certification, end-to-end encryption, and custom data retention make it suitable for highly regulated AI research environments.
- Massive Scale with Quality Control: Hundreds of petabytes of video undergo rigorous quality scoring and human QA, ensuring only the best data reaches training pipelines.
- Dedicated Research Partnership: Sieve partners deeply with every team to understand their specific needs and develop tailored data solutions with the same rigor used in model development.
- Free Data Samples Available: Teams can request data samples at no cost before committing to a purchase agreement, reducing procurement risk.
Cons
- Enterprise-Focused Pricing: Access requires a formal purchase agreement, making it less accessible to independent researchers or small teams with limited budgets.
- Not a Self-Serve Platform: Data delivery and custom dataset requests involve manual coordination with Sieve's team, which may slow down fast-moving research cycles.
- Video Data Only: The platform is narrowly focused on video data; teams needing image, text, or audio training data must look elsewhere.
Frequently Asked Questions
What types of video data does Sieve offer?
Sieve offers three primary categories: general video clips covering a wide variety of settings and subjects, cleanly licensed cinematic content with continuous storytelling, and paired media with dense annotations for conditioned AI capabilities.
How does Sieve ensure data quality?
Each video in the Sieve pipeline is scored across multiple quality dimensions — including artifacts, resolution, motion, and aesthetics — and only the best candidates are retained. Dense annotations are then added using expert models and validated with human quality checks at scale.
Can I try Sieve data before purchasing?
Yes. Sieve offers free data samples. You can fill out a form on their website to receive sample data at no cost before entering a purchase agreement.
How is data delivered after purchase?
Pre-packaged datasets are delivered within 1–2 days. Custom datasets are delivered via S3-compatible transfer on a mutually agreed SLA.
Is Sieve compliant with data licensing and security requirements?
Yes. Sieve supports specific filtering and licensing requests to ensure full permission compliance for training data. The platform is also SOC 2 Type 2 certified and offers end-to-end encryption with custom data retention policies.
