Overview
SieveData offers a cloud platform to build and deploy custom AI-powered video and audio features, providing ready-made models and the deployment infrastructure needed by product teams. Developers integrate capabilities via APIs to add functions such as automatic video cropping, translation, speech transcription, and noise removal, with each app including an auto-generated playground for testing and collaboration; the platform auto-scales with demand and uses a compute-based pricing model. It differentiates itself by pairing ready-to-use models with end-to-end infrastructure and a per-app playground, emphasizing ownership and straightforward collaboration. The goal is to help product teams quickly create, test, and deploy scalable AI video and audio features while maintaining cost visibility and control.
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Simplify's take
What believers are saying
- Sieve said on March 4, 2026 it collects millions of hours monthly.
- Its July 24, 2026 engineering post signals heavy technical credibility and shipping velocity.
- Homepage updates through November 5, 2026 show active operation and product expansion.
What critics are saying
- Sieve’s developer video API disappeared by July 2026, erasing its original buyer base.
- The pivot to datasets narrows demand to a few frontier labs and procurement cycles.
- If labs internalize data pipelines, Sieve loses the entire category it now sells.
What makes Sieve unique
- Sieve rebuilt in 2026 from APIs into a multimodal data lab for frontier AI labs.
- Sieve embedded one billion videos and queried 41 billion vectors, showing rare scale.
- Sieve controls collection, licensing, annotation, and delivery, giving labs end-to-end sourcing.
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Funding
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