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With AI, Everyone is a Dev. EveryDev.ai ©
    1. Home
    2. Developers
    3. Mixedbread

    Mixedbread

    Mixedbread is an applied research lab and retrieval-infrastructure company building the memory for AI. Its API and search stack ingest multimodal, multilingual data and return precise, auditable evidence for AI agents and applications.

    Visit Website

    At a Glance

    2Tools Listed
    10Products
    44Tool Views
    11Capabilities
    Discussions
    San Francisco, CaliforniaHeadquarters
    2023Est.
    10Employees
    $5.5MRaised
    Focus Areas
    Search and Discovery
    AI Infrastructure
    Retrieval-Augmented Generation
    AI Development Libraries
    Connect
    Latest News
    How PlanetScale Powers the Mixedbread Control PlaneAug 14, 2026
    Introducing Toast 1, Mixedbread’s specialized search agentAug 13, 2026
    Markets
    • AI application and agent developers
    • Enterprise software and knowledge-management teams
    • Research and information-retrieval teams
    • Companies with multimodal or multilingual data
    • +2 more

    AI Tools by Mixedbread

    (2)
    View mxbai-rerank
    mxbai-rerank tool icon

    mxbai-rerank

    Open Source Reranking Models for RAG

    RAGAI Dev LibrariesSearch & Discovery
    View Mixedbread
    Mixedbread tool icon

    Mixedbread

    Multimodal Search API for AI

    Search & DiscoveryRAGAI Infrastructure

    Discussions

    No discussions yet

    Be the first to start a discussion about Mixedbread

    Latest News

    08/14/2026

    How PlanetScale Powers the Mixedbread Control Plane

    mixedbread.com
    08/13/2026

    Introducing Toast 1, Mixedbread’s specialized search agent

    mixedbread.com
    07/27/2026

    mxbai-rerank-v3.1-listwise released as the default reranker

    mixedbread.com
    07/14/2026

    Building a robust ingestion system for any file of any size

    mixedbread.com

    Products & Services

    10
    Mixedbread Search / Stores API
    October 1, 2025

    Managed multimodal, multilingual search API: upload PDFs, images, documents, code, audio and video into Stores, automatically process them, and retrieve AI-ready evidence with natural-language search, semantic search, reranking and agentic search.

    Toast 1
    August 13, 2026

    Specialized search agent that decomposes queries, gathers evidence, inspects sources and curates context; can run standalone or as a subagent.

    mxbai-rerank-v3.1-listwise
    July 27, 2026

    Default listwise reranker designed for complex instructions, recency-aware ranking and source-priority resolution.

    mxbai-rerank-v3-listwise
    May 8, 2026

    Listwise reranking model co-designed with Wholembed v3, with natural-language instruction following.

    Market Position

    Mixedbread positions itself as a research-led, end-to-end alternative to assembled retrieval stacks: it trains its own retrieval models, operates the search/indexing infrastructure and exposes a managed multimodal API. It competes with vector-database/RAG platforms and managed search providers such as Pinecone, Weaviate, Elasticsearch/OpenSearch, Vespa, Cohere Rerank and Voyage AI, differentiating on native multimodality, late-interaction retrieval, multilingual coverage, agentic search, evidence provenance and low latency.

    Leadership

    Founders

    AS

    Aamir Shakir

    Co-founder; studied at EPFL (École polytechnique fédérale de Lausanne) and has worked on information retrieval, embeddings and reranking research at Mixedbread.

    JL

    Julius Lipp

    Co-founder and former CTO of Mixedbread (October 2023–June 2025); software developer with prior experience at Google.

    Executive Team

    AS

    Aamir Shakir

    Co-Founder

    AI research and retrieval expert.

    JL

    Julius Lipp

    Co-Founder

    AI and search systems engineer.

    Board of Directors

    BC
    Benjamin Clavié
    Advisor (Scaling AI Startups)
    KL
    Kevin Laws
    Investor/Advisor
    SC
    Sunflower Capital
    Venture Investor

    Founding Story

    Mixedbread was set up as a research lab to pursue ‘Perfect Search’: the founders believed information retrieval is a cornerstone of intelligence and that useful research should feed directly into a real product. The initial vision was to build a unified engine that gives AI systems the right context across the world’s knowledge, rather than expecting models to memorize changing, specialized information.

    Business Model

    Revenue Model

    Usage-based managed API/search infrastructure: customers pay for indexing, search queries, storage and Toast 1 LLM-token usage; paid plans add credits, higher limits, backups and support. Enterprise contracts add volume discounts and dedicated infrastructure/support.

    Pricing Tiers

    Starter
    Free

    $5 one-time credits; 3 workspace users; 3 stores; 100 queries/min and 6,000 uploads/min; community Slack support.

    Scale
    $20/month

    $20 monthly credits then pay-as-you-go; unlimited users; 10,000 stores; 2,400 queries/min and 12,000 uploads/min; automatic backups and priority Slack support.

    Enterprise
    Custom

    Volume discounts, unlimited users/stores, custom rate limits and SLA, automatic backups, point-in-time recovery, BYOB/BYOC and dedicated support.

    Privately held; no IPO announcement found.

    Target Markets

    Industries & Segments
    • AI application and agent developers
    • Enterprise software and knowledge-management teams
    • Research and information-retrieval teams
    • Companies with multimodal or multilingual data
    • Developers needing managed RAG/search infrastructure
    • Startups and venture-backed companies (startup credits program)
    Use Cases
    • Retrieval-augmented generation and AI assistants
    • Knowledge-intensive research and question answering over enterprise corpora
    • Coding agents and search over code/SQL repositories
    • Search across PDFs, decks, tables, images, audio and video
    • Enterprise knowledge bases connected to Slack and Google Drive
    • Auditable agent workflows requiring citations and evidence provenance
    Notable Customers
    • Vercel
    • AnkiHub
    • TinyFish
    • Prime Intellect

    Quick Facts

    Headquarters
    San Francisco, California, United States
    Founded
    2023
    Entity Type
    Delaware corporation
    Employees
    10
    Total Funding
    $5.5 million reported raised
    Investors
    Accomplice VC, Sunflower Capital
    Office Locations
    San Francisco
    Remote

    Funding History

    Seed$5.5 million
    August 18, 2024
    Accomplice VC
    Sunflower Capital

    History & Milestones

    August 13, 2026

    Launched Toast 1, a specialized search agent for knowledge-intensive tasks.

    July 27, 2026

    Released mxbai-rerank-v3.1-listwise as the default reranker.

    May 8, 2026

    Released mxbai-rerank-v3-listwise in preview as part of Mixedbread Search.

    March 12, 2026

    Released Wholembed v3, a unified omnimodal multilingual late-interaction retrieval model, as the default for new stores.

    January 21, 2026

    Published its billion-scale multimodal late-interaction architecture; reported 1B+ indexed documents, 500+ QPS per store and approximately 80 ms end-to-end search latency.

    Key Capabilities

    11
    Multimodal ingestion of text, PDFs, images, tables, code, audio and video
    Automatic parsing, OCR, transcription, chunking, embedding and indexing
    Natural-language semantic, exact/regex (grep), reranked and agentic search
    Multilingual understanding across 100+ languages
    AI-ready evidence with source file, page, bounding box and exact chunk provenance
    Late-interaction retrieval at billion-document scale

    Integrations & Partnerships

    Platform Integrations

    • Claude Code
    • Codex CLI
    • OpenCode
    • Model Context Protocol (MCP)
    • Claude Desktop
    • Cursor
    • Mixedbread Skills via skills.sh
    • Mixedbread CLI

    Key Partnerships

    Vercel Marketplace integration (October 2025)
    PlanetScale, used for the Mixedbread control plane and described in a technical case study
    deepset collaboration on deepset-mxbai-embed-large-v1

    Connect

    Website
    mixedbread.com
    GitHub
    mixedbread-ai

    AI Topics

    4

    Mixedbread focuses on these topics:

    Search and Discovery(2)
    AI Infrastructure(1)
    Retrieval-Augmented Generation(2)
    AI Development Libraries(1)
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