Mixpeek reads and understands multimodal data. It processes video, images, audio and documents stored in object storage and exposes extracted features through an API for search, classification and moderation. The tool targets teams building AI agents and applications that need to index and query large, diverse media collections without moving data. It emphasizes a pipeline approach that works with existing storage and infrastructure.
Mixpeek provides a guided path from data to searchable knowledge. It offers templates and pipelines that connect to buckets, extract features, and expose multi-stage retrievers. The platform supports managed indexing and the option to bring your own models or vectors, facilitating production-grade retrieval and customization for enterprise needs.
Mixpeek presents multiple modalities in a unified retrieval layer. It can extract faces, scenes, transcripts, OCR, and document layouts, then search across these features. The system supports clustering, cross-modal joins, and hierarchical organization to enable searches that combine what is seen, heard and read.
Mixpeek lists plans, platforms, integrations and limits explicitly. It labels products (MVS and Managed), describes hosting options, and notes integrations with storage providers and tooling. The site discusses security, access, and enterprise capabilities as part of its offerings.
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