Give your agents eyes and ears.
Mixpeek breaks every video, image, and audio file into structured features your agents can search, reason over, and trust.
Connect any object store. Every file becomes a hierarchy of typed, versioned features.
Multi-stage pipelines: search, filter, join, rerank. Deterministic, auditable traces.
Not a vector database. A warehouse.
A vector database stores embeddings. Mixpeek is a complete system: ingestion, extraction, tiered storage, multi-stage retrieval, and audit trails, behind one set of primitives.
Feature Extractors
Turn every file into a hierarchy of searchable features: faces, scenes, transcripts, logos, fingerprints. Versioned pipelines, composable extractors, feature URIs that pin every embedding to a model contract.
Multi-stage Retrievers
Answer any query through multi-stage pipelines: search, filter, join, rerank, and agentic navigation. Deterministic execution with full audit traces. One call, <100ms.
Taxonomies & Ontologies
Flat or hierarchical reference collections with similarity-based joins. Encode your domain once. Retrievers enforce it at query time, ingest time, or retroactively when taxonomies improve.
Tiered Feature Store
Hot, warm, cold, archive. Features tier automatically by access pattern. Same feature URI resolves across all levels. 60-80% lower cost.
Clusters
Discover structure with 8 algorithms, auto-label with LLMs, then promote stable clusters to taxonomy nodes. The bridge from unsupervised discovery to structured reference data.
Agent-ready
MCP server, LangChain retriever, OpenAI function calling, REST. Agents reason over structured features with lineage, not hallucinated summaries.
Plugs into your existing stack.
Connect your storage, point Mixpeek at it, and every file becomes searchable by what's inside it. No migration, no code changes.
Mux
Every Mux upload becomes searchable by face, scene, transcript, and on-screen text — no manual tagging.
View integration →
Backblaze B2
S3-compatible extraction at 1/5th the cost. Store on B2, extract with Mixpeek, zero egress fees.
View integration →
Iconik
Every asset in your DAM becomes findable by what's inside it — scenes, faces, spoken words, on-screen text.
View integration →Decompose. Reassemble. Enrich. Audit.
Gets smarter the more
you use it.
Reference collections, annotations, and interaction signals compound into better retrieval automatically.
Try it today →Bring your ground truth.
Connect your storage. Mixpeek decomposes every file into searchable features. Import your reference data. Agents can query in an hour.
The system learns structure.
Clusters discover patterns. LLM labeling names them. Promote to taxonomy nodes. Every annotation becomes ground truth for the next iteration.
The flywheel compounds.
Taxonomies retroactively reclassify old data. Interaction signals train the index. The more you use it, the sharper every result gets.
Simple, transparent pricing.
Pay for ingestion and extraction. Searches and retrievals are always free so agents can query without metering anxiety.
Hi, I'm Ethan.
I built Mixpeek because 80% of enterprise data is unstructured and effectively unqueryable. Teams duct-tape five vendors together just to search their own media. The answer is a warehouse: one system that decomposes, stores, and reassembles understanding from any file.