Sieve

How can your AI truly understand the world without the right data?

NicheSieve is a specialized provider of high-quality, multimodal data and annotation services, essential for developing cutting-edge AI models that require rich, diverse, and compliant training data.

Sieve provides high-quality video, audio, image, and interaction data for training advanced AI models. They offer curated datasets, custom data collection, and dense annotations to meet the specific needs of leading AI labs and enterprises.

Visit Sieve

Visit Sieve

Key Features:

Hundreds of petabytes of curated multimodal data (video, audio, image, interaction)
Dense annotations including captions, transcripts, object labels, and action metadata
Custom data collection from real-world, digital, and simulated environments
Compliance-first approach with filtering, licensing, consent, and secure delivery
Purpose-built detectors and embeddings for indexing billions of data points

Pros

AI research teams needing high-quality, multimodal training data
Companies developing embodied AI or generative media models
Organizations requiring custom data collection and annotation services

Cons

Pricing model is likely enterprise-focused and not transparently listed
Requires direct engagement for scoping and purchasing datasets
Primarily serves large AI labs and enterprises, potentially less accessible for smaller projects

Pricing

enterprise

Categories:

AI Infrastructure Data & Analytics

Tags:

multimodal data video data audio data image data data annotation AI training data generative AI embodied AI

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Quick Decision

Try if: You are an AI lab or enterprise working on advanced multimodal AI models (e.g., generative media, embodied AI) and require high-quality, custom, and densely annotated datasets.

Skip if: You are looking for a self-service platform for basic data needs or have a limited budget for data acquisition.

Not for: Individuals or small teams with basic data needs; Users looking for off-the-shelf, generic datasets without specific requirements

Trust Signals

Team Size
small

Compliance

SOC 2 Type 2 controls

Notable Customers

leading AI labsFortune 100fast-growing AI startups

Tech Details

Platforms

web

Open Source

Support

Channels

emailcontact form

Company

Name
Sieve, Inc.

Sieve is a multimodal data lab providing high-quality video, audio, image, and interaction data for frontier AI development.

FAQ

What kind of data does Sieve provide?

Sieve provides high-quality multimodal data including video, audio, image, and interaction data for frontier AI development.

How does Sieve ensure data quality and compliance?

Sieve scores data for semantics, rights, artifacts, and task quality, and employs a compliance-first approach covering filtering, licensing, consent, retention, and secure delivery with SOC 2 Type 2 controls.

Can Sieve collect custom datasets for specific AI research needs?

Yes, Sieve offers custom collection capabilities to capture targeted real-world, digital, and simulated workflows based on the exact capabilities a research team wants to improve.

Use Cases

AI research teams needing high-quality, multimodal training data
Companies developing embodied AI or generative media models
Organizations requiring custom data collection and annotation services