MixPeek: Multimodal Data Warehouse API for Developers

MixPeek acts as an intelligence layer sitting on top of object stores like S3, transforming raw unstructured data into searchable, structured intelligence. Instead of building separate pipelines for every media type, developers can use a single GET /search call to apply NLP and feature extraction across text, images, video, audio, and PDFs at massive scale. This unified approach removes the friction of stitching together multiple vision, audio, and language models just to make sense of a diverse asset library. Beyond simple extraction, MixPeek is designed to help teams discover patterns and relationships between different media formats, enabling cross-modal search and richer analytics. Whether it's tagging product images for retail search, scanning surveillance footage for security alerts, or organizing multi-format learning content for EdTech platforms, MixPeek gives engineering teams a flexible, scalable backend for multimodal AI applications without reinventing the infrastructure each time. Setup is intentionally lightweight — teams can connect existing S3 buckets or other sources and get automatic content-type detection, feature extraction, enrichment, and retriever building, all through composable pipeline tools rather than a rigid, one-size-fits-all workflow.

1. Sign up and initialize MixPeek with a single line of code. 2. Connect your data source, such as an AWS S3 bucket, or upload objects directly. 3. Let MixPeek automatically detect content types across text, image, video, audio, and PDF files. 4. Configure feature extractors and enrichment steps for your specific use case. 5. Build retrievers to power search and querying. 6. Use the unified GET /search API to query across all media types from one interface.