Mixpeek

Mixpeek is a multimodal data warehouse designed to handle unstructured content such as video, images, audio, and documents. The platform transforms raw, unstructured data into searchable features by decomposing media into components like faces, scenes, transcripts, and domain-specific attributes. These features are then reassembled through multi-stage retrieval pipelines, enabling users to query and analyze content that traditional databases cannot process. Mixpeek operates directly on the user’s existing storage infrastructure, eliminating the need to migrate data to a separate vendor system. This approach reduces complexity and cost, as users no longer have to integrate multiple point solutions for different data types. The core functionality of Mixpeek revolves around its managed retrieval pipelines. These pipelines automate the extraction of meaningful features from unstructured files. For example, a video file can be processed to detect individual people (face recognition), identify scenes (scene detection), generate transcriptions (speech-to-text), and extract objects or text overlays. These features are stored as high-dimensional vectors, which can be searched using similarity or semantic queries. The platform supports multi-modal searches, meaning a user could search for a specific spoken phrase in a video, or find images containing a particular object, all from a single interface. Mixpeek also includes a vector store component, which allows developers building AI agents or retrieval-augmented generation (RAG) systems to store and retrieve embeddings directly. The platform provides a free tier for experimentation, and a Studio interface for visually constructing and testing retrieval pipelines. The pipelines are end-to-end auditable, meaning every step from inge