Mixpeek

Mixpeek is a multimodal data warehouse that decomposes video, image, and audio files into structured, searchable features. It provides a complete system for ingestion, extraction, tiered storage, multi-stage retrieval, and audit trails, all behind a single set of primitives.

Key Features

• Feature Extractors: Turn every file into a hierarchy of typed features: faces, scenes, transcripts, logos, and fingerprints. Versioned pipelines with composable extractors.
• Multi-stage Retrievers: Compose search, filter, join, and rerank stages in one call with deterministic execution and full audit traces, typically under 100ms.
• Taxonomies & Ontologies: Encode domain knowledge as versioned reference collections enforced at query time, ingest time, or retroactively.
• Tiered Feature Store: Hot, warm, cold, and archive tiers that automatically manage storage based on access patterns, reducing costs by 60-80%.
• Clusters: Discover structure with 8 algorithms, auto-label with LLMs, and promote stable clusters to taxonomy nodes.
• Agent-ready: MCP server, LangChain retriever, OpenAI function calling, and REST API allow agents to reason over structured features with lineage.

Use Cases

• Talent search: Find faces across video libraries with exclusivity checks.
• IP & Copyright detection: Scan creative assets against protected face, logo, and audio databases.
• Visual taste recommendations: Scene-similarity ranked recommendations using reinforcement learning.
• Brand safety: Pre-publish content screening at bid-time speeds.

Who It’s For

Mixpeek is built for developers, media operations, and compliance teams in advertising, entertainment, e-commerce, and education who need to query unstructured media at scale.