Overview
Sieve is a multimodal data platform that sources, filters, indexes, annotates, and delivers high-quality video, audio, image, and interaction data for frontier AI. It provides research-grade curation with dense annotations, rights and quality filtering, and secure delivery.
Our take
Sieve handles multimodal data processing — video, audio and image pipelines — for teams building AI applications on media at scale. Pricing is quoted against volume and complexity, which is appropriate for infrastructure of this kind. This is a developer product, and evaluating it means testing a pipeline rather than reading a feature list.
Worth it if
Engineering teams processing video or audio at volume who do not want to operate the pipeline.
Look elsewhere if
Individual or occasional media processing, where a desktop tool is far simpler and cheaper.
✨ Features
Multimodal Data
Delivers synchronized video, audio, image, and interaction datasets for AI training.
Dense Annotations
Provides captions, transcripts, metadata, and before-and-after editing pairs.
Research-Grade Filtering
Filters data for semantics, rights, and quality assurance.
Secure Delivery
Delivers datasets with encryption and compliance controls.
⚖️ Pros & Cons
Pros
Cons
💰 Pricing
Custom
Custom
- Contact sales for a quote
- Pricing based on data volume, task complexity and annotations
- Request a data sample
- AI data processing pipelines
Categories
❓ Frequently Asked Questions
What drives the cost in media processing pipelines?
Compute time, which scales with duration, resolution and the number of models in the pipeline. Video is the expensive case because every frame is processed. Estimating from a representative sample of your actual media, rather than from a short test clip, is the only way to get a usable number.
Build the pipeline or buy it?
Buy while you are still learning the shape of the workload — operating GPU pipelines, handling failures and managing queues is real engineering effort. Building becomes worthwhile at steady high volume, or where media cannot leave your environment for privacy or contractual reasons.