What Mixedbread does
Mixedbread is a managed retrieval and search platform for AI agents. It lets developers run multimodal search across text, PDFs, images, video, and audio in 100+ languages without managing embeddings or complex pipelines. The stack includes a search engine returning results in sub-200ms, an in-house omnimodal embedding model (Wholembed), and a listwise reranker (mxbai-rerank), plus automatic document parsing that ingests and understands uploaded files. Developers can use a dashboard, Python/TypeScript SDKs, a CLI, and APIs to add production-grade search quickly.
Models, scale, and backing
Mixedbread is known for popular open-source embedding and reranking models widely used across the ecosystem (including via Qdrant and other vector stores). The platform runs at production scale, citing billions of indexed documents and thousands of queries per second, and is SOC 2 Type II and ISO 27001 certified. Founded in 2023 in Berlin by Aamir Shakir and Julius Lipp, Mixedbread raised seed funding and counts customers such as Vercel and Deepset, positioning itself as an end-to-end alternative to assembling embeddings, vector DBs, and rerankers yourself.