Mixedbread
Mixedbread provides an AI-powered multimodal semantic search API that processes text, PDFs, images, video, and audio across 100+ languages, targeting AI developers, enterprise teams, and coding agent platforms building RAG, document intelligence, and agentic applications.
- Company typePrivate
- Founded2024
- HeadquartersBerlin, Germany
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Mixedbread does
Mixedbread (legally mixedbread ai inc., Delaware-incorporated) provides an AI-powered multimodal semantic search API platform that lets developers upload text, PDFs, images, video, audio, and code and search across 100+ languages without managing embedding models, vector databases, or document parsing infrastructure. The platform is built on proprietary in-house retrieval IP including the Wholembed v3 unified omnimodal multilingual model, mxbai-rerank-v3-listwise listwise reranker, and the deepset-mxbai-embed-de-large-v1 German/English embedding model, with benchmark leadership on BrowseComp-Plus (#1), MADQA (93.4%), and OfficeQA-Pro. The product surface spans core semantic search, agentic multi-round search with planning and multi-hop reasoning, question answering with citations, metadata filtering, and Grep exact/regex matching, exposed through Python and TypeScript SDKs, a CLI, and an MCP server.
Mixedbread operates an API-first, product-led growth model with a free tier plus usage-based pay-as-you-go scaling and Scale plan subscriptions, targeting AI/ML developers, enterprise teams building document intelligence and RAG pipelines, and AI coding agent platforms. Distribution runs through direct API onboarding, the Vercel marketplace (unified billing, auto-injected MXBAI_API_KEY and MXBAI_STORE_ID environment variables), and MCP server integrations with Claude Code, Claude Desktop, Cursor, VS Code, Windsurf, Codex CLI, Gemini CLI, OpenCode, and Zed. The company maintains a community-led open-source footprint (mgrep, baguetter, batched, openbread, Agent Skills) and holds SOC 2 Type II and ISO 27001:2022 certifications, with named customers including Vercel, TinyFish, AnkiHub, and Deepset.
The company is privately held, has raised approximately $6.36 million across two funding rounds ($855K in January 2024, $5.5M in February 2025), and operates with a 1-10 employee headcount under co-founders Aamir Shakir and Julius Lipp, implying a capital-efficient founder-led operating model.
Mixedbread firmographics
Firmographics- Name
- Mixedbread
- Legal name
- mixedbread ai inc.
- Website
- https://mixedbread.com
- Company type
- Private
- Founded year
- 2024
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Mixedbread provides an AI-powered multimodal semantic search API that processes text, PDFs, images, video, and audio across 100+ languages, targeting AI developers, enterprise teams, and coding agent platforms building RAG, document intelligence, and agentic applications.
- Ownership category
- akta.pro rank
Mixedbread industry classification
Industry- Product category
- AI Semantic Search & Retrieval Infrastructure
- NAICS
- Software Publishers (5132), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Question Answering & Retrieval-Augmented Generation (RAG) (HDAAADAC)
- akta.pro secondary industries
- Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH), Model Hosting, Serving & Inference Platforms (HDAAACAB), Multimodal Generation (Text-Image-Video-Audio) & Creative Toolchains (HDAAACAG), Generative AI & LLM Solutions Services (RAG, Agents, Copilots) (BPAEAHAG)
Keywords
Where Mixedbread is headquartered
LocationHeadquarters
- HQ city
- Berlin
- HQ country
- Germany
- HQ region
- Europe
Offices1 record
Markets served
Mixedbread business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Infrastructure, Personnel, Marketing or Sales, Operations
Revenue model
- API Usage-based Pricing: Pay-as-you-go model where users consume credits for ingestion, queries, and parsing. Usage beyond free tier allocations is charged based on consumption volume.
- Subscription Plans: Scale plan with subscription fee plus usage-based charges for consumption beyond subscription allocations. Enterprise services may include additional features, support, and usage quotas.
- Free Tier: Free tier with monthly allocations for ingestion, queries, and parsing. Free tier data is used for service improvement and model training per the terms of service.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free tier with monthly allocations for evaluation |
| Usage-based | Pay-as-you-go | Pay-as-you-go usage-based scaling |
Go-to-market motion3 records
Distribution channels4 records
Marketing channels6 records
Mixedbread product offering
Product offeringCore offering
Mixedbread provides an AI-powered semantic search API that automatically processes text, PDFs, images, video, audio, and code across 100+ languages, returning ranked, AI-ready context without requiring customers to manage embedding models, vector databases, or parsing pipelines. The platform is differentiated by its proprietary Wholembed v3 omnimodal retrieval model, the mxbai-rerank-v3-listwise reranker, and native integrations into AI coding agents (Claude Code, Cursor, VS Code, Windsurf) via Model Context Protocol.
Product overview
Mixedbread is an AI-powered retrieval platform offering a unified product portfolio centered on Mixedbread Search, an AI-native semantic search API. The core offering combines Mixedbread Search (for semantic retrieval across text, images, PDFs, video, audio, and code in 100+ languages) with specialized reranking models (mxbai-rerank-v3-listwise) and the Mixedbread Wholembed v3 omnimodal retrieval model. Developer access is enabled through Python and TypeScript SDKs, an MCP Server for IDE integrations (VS Code, Cursor, Claude Code, Claude Desktop, Codex CLI, Gemini CLI, OpenCode, Zed, Windsurf), and the mxbai CLI for command-line workflows. Agent Skills packages provide coding agent guidance. The platform supports enterprise deployment via Vercel integration and offers open-source tools including mgrep, baguetter, and batched.
Differentiator
Problem solved
Functional benefit
Products and services
- Mixedbread Search AI-powered semantic search API that automatically understands PDFs, images, documents, code, videos, and audio and provides ranked, AI-ready context for downstream applications. Supports semantic search, agentic search, question answering, reranking, and metadata filtering across 100+ languages without requiring embedding management or vector database setup. Target users are developers and enterprise teams building AI applications and RAG systems.
- Mixedbread Wholembed v3 Unified omnimodal multilingual retrieval model setting state-of-the-art performance for search across text, images, audio, video, PDFs, and 100+ languages. Single-stage retriever that delivers best-in-class search quality for AI applications.
- mxbai-rerank-v3-listwise Listwise reranking model that reads the entire candidate set, resolves conflicts, and ranks results by natural language directives such as recency, source priority, and multi-step rules. Delivers +11% NDCG@10 improvement on average across domains and modalities.
- deepset-mxbai-embed-de-large-v1 Open-source German/English embedding model co-developed with Deepset, based on intfloat/multilingual-e5-large and fine-tuned on 30M+ German data pairs. Achieves NDCG@10 of 51.7, outperforming other open-source German embedding models, and includes Matryoshka Representation Learning and Binary Quantization optimizations.
- mgrep Open-source CLI tool for semantic grep across code, images, PDFs, and more. Provides CLI-native semantic search for developers.
- baguetter Flexible, efficient, hackable search engine library in Python for benchmarking, implementing, and testing new search methods.
- batched Batch processing API providing a flexible and efficient way to process multiple requests with dynamic batching of inference workloads.
- Mixedbread Search v3 Agentic retrieval system that narrows the oracle gap for agentic retrieval, topping BrowseComp-Plus (deep-research eval) and setting leading results on MADQA and OfficeQA-Pro benchmarks.
Quantifiable outcome
- Topped BrowseComp-Plus (deep-research retrieval) with fewest search calls
- +2 more outcomes
Companies that use Mixedbread
Customer profileNamed customers4 records
Segments3 records
Ideal customer profiles2 records
Mixedbread technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration14 records
AI capability11 records
Feature5 records
Mixedbread partnerships and signals
Strategic signalPartnerships
Six partnerships are on record, tiered core and major.
- DeepsetcoreDeepset and Mixedbread co-developed deepset-mxbai-embed-de-large-v1, an open-source German/English embedding model based on intfloat/multilingual-e5-large, fine-tuned on 30M+ German data pairs. Integration available through the Haystack framework.
- VercelmajorVercel marketplace integration enabling team installation of Mixedbread, automatic environment variable injection for connected projects, and unified billing through Vercel accounts.
- Anthropic (Claude)coreMCP server integration with Claude Desktop and Claude Code, enabling AI assistants to access Mixedbread search capabilities directly from the coding environment.
- CursormajorMCP server integration with Cursor IDE, providing AI coding assistance with Mixedbread search capabilities.
- WindsurfmajorMCP server integration with Windsurf IDE, enabling AI pair programming with Mixedbread search.
- WholembedcoreCo-designed mxbai-rerank-v3-listwise listwise reranker with Wholembed v3, improving results on every benchmark with state-of-the-art instruction following.
Scale indicators5 records
Recent moves6 records
Expansion highlights7 records
Mixedbread competitors and assessment
Company assessmentDirect peers
- Pinecone: Managed vector database purpose-built for RAG and semantic search. Competes for the same enterprise retrieval budget with a serverless vector store rather than a unified omnimodal retrieval API.
- Weaviate: Open-source vector database with hybrid search, modular embedding integrations, and an enterprise cloud offering. Competes in the same retrieval stack with comparable multimodal and hybrid retrieval capabilities.
- Marqo: End-to-end vector and multimodal search platform with built-in models for text, image, and video. Direct overlap with Mixedbread's unified omnimodal approach and developer API.
- Cohere: Enterprise-focused AI platform offering Embed and Rerank APIs alongside foundation models. Most direct commercial competitor in the embed/rerank category with similar RAG positioning and enterprise GTM.
- Vespa.ai: Yahoo-spun search and serving engine for big-data, AI-driven applications including RAG and retrieval at scale. Comparable on production-grade retrieval infrastructure and multimodal vector search.
- Qdrant: Open-source vector search engine with managed cloud offering for RAG and semantic search. Comparable on developer-first GTM, multimodal support, and infrastructure positioning against Mixedbread's hosted stack.
- Voyage AI: Provides state-of-the-art embedding and reranking APIs targeted at RAG and enterprise search. Direct overlap with Mixedbread Search and mxbai-rerank on product, customer (AI builders), and benchmark-driven positioning.
- Jina AI: Berlin-based AI company offering open-source embedding and reranker models plus a developer search API. Closely comparable to Mixedbread on product (embeddings, reranking, reader API), GTM (open source + API), and geography.
Broad incumbents
- Elastic: Elasticsearch platform with vector search, ELSER reranker, and AI-powered relevance. Broad incumbent in enterprise search that increasingly overlaps with RAG and semantic retrieval workloads.
- OpenAI: Provides embeddings, Assistants/file search, and GPT context APIs that increasingly subsume third-party retrieval. Much larger and broader portfolio, but a direct competitor for the RAG retrieval budget.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat6 records
Key risks6 records
Key highlights6 records
Customer concentration
Mixedbread social profiles
Digital presenceMixedbread compliance and trust
Trust signalCompliance2 records
Mixedbread financial estimates
Financial estimateRevenue estimate
Valuation estimate
Mixedbread leadership team
Management profileNumber of profiles
Profiles2 records
Mixedbread funding detail
Funding detailFunding overview
Funding rounds2 records
Investors2 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Mixedbread M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Mixedbread
What does Mixedbread do?
Mixedbread provides an AI-powered semantic search API that automatically processes text, PDFs, images, video, audio, and code across 100+ languages, returning ranked, AI-ready context without requiring customers to manage embedding models, vector databases, or parsing pipelines. The platform is differentiated by its proprietary Wholembed v3 omnimodal retrieval model, the mxbai-rerank-v3-listwise reranker, and native integrations into AI coding agents (Claude Code, Cursor, VS Code, Windsurf) via Model Context Protocol.
Is Mixedbread a public or private company?
Mixedbread is a private company. It is classified as venture growth investor backed and is currently operating.
When was Mixedbread founded?
Mixedbread was founded in 2024. It employs 11 to 50 people.
Where is Mixedbread based?
Mixedbread is headquartered in Berlin, Germany, in the Europe region.
How does Mixedbread make money?
Three revenue lines are on record. API Usage-based Pricing is the primary driver. The others are subscription Plans and free Tier.
Who are Mixedbread's main competitors?
Direct peers on record are Pinecone, Weaviate, Marqo, Cohere, Vespa.ai, Qdrant, Voyage AI and Jina AI. Broad incumbents are Elastic and OpenAI.
Does Mixedbread have an API?
Yes. Mixedbread Search API provides AI-powered semantic search capabilities across text, images, PDFs, videos, and audio in 100+ languages. The REST API supports store management, file uploads, semantic search, agentic search, question answering, reranking, and metadata filtering. SDKs available in Python and TypeScript. Rate limits: Read (1,200/min), List (600/min), Write (360/min), Update (480/min), Delete (240/min). Developer documentation is at www.mixedbread.com/api-reference.
What industry is Mixedbread in?
Mixedbread's product category is AI Semantic Search & Retrieval Infrastructure. Its primary akta.pro industry code is HDAAADAC, Question Answering & Retrieval-Augmented Generation (RAG), with a secondary code of HDAEANAH, Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs). Its NAICS code is 5132 and its SIC code is 7372.