Mixedbread
Mixedbread turns documents into discoverable and understandable context for AI using proprietary multimodal retrieval models and a fully-managed search engine.
At a Glance
- AI Developers
- Search-intensive Startups
- Enterprise Document Teams
AI Tools by Mixedbread
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Mixedbread
Multimodal Search API for AI
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Latest News
Introducing Mixedbread Wholembed v3: SOTA Retrieval Model for Text, Audio, and Video
Mixedbread Raises $5.5M in Seed Funding to Power the Future of AI Search
Mixedbread Search API Launch: Fully Managed RAG Platform
Mixedbread for Vercel: Instantly add world class, scalable search to Vercel apps
Products & Services
A fully-managed semantic search engine platform for document retrieval and RAG.
State-of-the-art open-source reranking model for enhancing search relevance.
Unified omnimodal retrieval model supporting text, audio, and video across 100+ languages.
CLI-native tool for semantic search across code, images, and PDFs.
Market Position
Differentiated by in-house multimodal models (Wholembed) and a focus on both open-source excellence and a robust managed platform with superior latency and accuracy compared to generic embedding providers.
Leadership
Founders
Aamir Shakir
Co-founder at Mixedbread. Previously at EPFL and various AI research initiatives. Expert in information retrieval.
Julius Lipp
Co-founder at Mixedbread. Previously software developer at Crossnative. Background in AI and search.
Rui Huang
Co-founder/Member at Mixedbread. Background in data processing pipelines (Spark/Scala) and IMDB datasets.
Executive Team
Aamir Shakir
Co-Founder
AI research and retrieval expert.
Julius Lipp
Co-Founder
AI and search systems engineer.
Board of Directors
Founding Story
Mixedbread was started by Aamir Shakir and Julius Lipp with the vision of building 'the AI bakers' for information retrieval, creating high-performance, open-source and proprietary models that simplify document intelligence for the AI era.
Business Model
Revenue Model
SaaS subscription (Pricing tiers) and API usage fees.
Pricing Tiers
Up to 1000 store files, access to core platform and models.
Standard features with higher usage limits and support.
Unlimited files, SOC2 compliance, on-premise options, and dedicated support.
Target Markets
- AI Developers
- Search-intensive Startups
- Enterprise Document Teams
- Retrieval-Augmented Generation (RAG)
- Semantic Search for Enterprises
- Document Intelligence and Extraction
- Multimodal Search (Audio/Video search)
- Vercel
- Claude Code users
- AI startups building RAG