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    Developers

    2,178+ AI companies

    • Radar
    • Trending
    1. Home
    2. Developers
    3. Zilliz Tech

    Zilliz Tech

    Democratize AI access by providing high-performance, cost-effective vector database solutions for unstructured data.

    Visit Website

    At a Glance

    1Tool Listed
    2Products
    14Tool Views
    8Capabilities
    Discussions
    Redwood City, CaliforniaHeadquarters
    2017Est.
    200Employees
    $513MRaised
    Focus Areas
    MCP Servers
    Agent Memory
    Vector Databases
    Connect
    Latest News
    Zilliz raises $400 million in landmark funding round for AI infrastructureSep 30, 2025
    Zilliz and Pliops Partner to Scale Vector Search for Enterprise AIOct 15, 2024
    Markets
    • Enterprise AI
    • Cloud Infrastructure
    • Legal Tech
    • FinTech
    • +1 more

    AI Tools by Zilliz Tech

    (1)
    View Claude Context
    Claude Context tool icon

    Claude Context

    MCP Server for Claude Memory

    MCP ServersAgent MemoryVector Databases

    Discussions

    No discussions yet

    Be the first to start a discussion about Zilliz Tech

    Latest News

    09/30/2025

    Zilliz raises $400 million in landmark funding round for AI infrastructure

    PR Newswire
    10/15/2024

    Zilliz and Pliops Partner to Scale Vector Search for Enterprise AI

    PR Newswire
    08/24/2022

    Vector Database Company Zilliz Raises $60 Million Series B Extension

    Business Wire
    11/16/2020

    Zilliz Raises $43 Million as Investors Rush to Open-Source AI Infrastructure

    TechCrunch

    Products & Services

    2
    Milvus
    2019

    The world's most popular open-source vector database designed for high-performance similarity search and AI applications.

    Zilliz Cloud
    2023

    A fully managed, enterprise-grade vector database service built on Milvus, offering serverless and dedicated deployment options.

    Market Position

    Leader in the vector database market; differentiated by the massive adoption of its open-source project Milvus and the enterprise-grade robustness of Zilliz Cloud compared to general-purpose databases with vector extensions.

    Leadership

    Founders

    CX

    Charles Xie

    Founder and CEO of Zilliz. Former Senior Software Engineer at Oracle (worked on Oracle 12c). Creator of the Milvus open-source vector database. Chairperson of the Governing Board at LF AI & Data Foundation. Education: University of Wisconsin-Madison.

    Executive Team

    CX

    Charles Xie

    Founder & CEO

    Over 15 years of experience in database systems; former Senior Software Engineer at Oracle; Chair of LF AI & Data Foundation.

    JL

    James Luan

    Chief Technology Officer (CTO)

    Former Senior Architect at Alibaba and Baidu, focusing on search and recommendation platforms. Leading technical strategy and R&D at Zilliz.

    Board of Directors

    CX
    Charles Xie
    Chairman
    RF
    Representatives from 5Y Capital
    Board Member
    RF
    Representatives from Hillhouse Capital
    Board Member

    Founding Story

    Zilliz was founded by Charles Xie, a former Oracle engineer, who recognized that traditional databases were ill-equipped for the explosion of unstructured data. He created Milvus to bridge this gap, focusing on vector similarity search as the core of modern AI applications.

    Business Model

    Revenue
    Estimated annual revenue of approximately $2.2M+ (based on 2023-2024 reports).

    Revenue Model

    SaaS and Managed Services (Subscription and Usage-based pricing for Zilliz Cloud).

    Pricing Tiers

    Free
    $0/month

    5 GB storage, 2.5 M vCUs/month, up to 5 collections.

    Standard
    Serverless from $0; Dedicated from $99/GB/mo

    Managed vector DB, backup/restore, basic monitoring, encryption.

    Enterprise
    Dedicated from $155/month

    99.95% SLA, audit logs, SSO, granular RBAC, elastic scaling, private endpoint.

    Business Critical
    Custom Quote

    Global clusters, disaster recovery, CMEK, HIPAA eligible, priority support.

    Private; no immediate IPO plans announced.

    Target Markets

    Industries & Segments
    • Enterprise AI
    • Cloud Infrastructure
    • Legal Tech
    • FinTech
    • E-commerce
    Use Cases
    • Computer vision
    • Natural Language Processing (NLP)
    • Recommendation Engines
    • Drug Discovery
    • Fraud Detection
    • Retrieval-Augmented Generation (RAG)
    Notable Customers
    • Filevine
    • Airtable
    • Bosch
    • Lenovo

    Quick Facts

    Headquarters
    Redwood City, California
    Founded
    2017
    Entity Type
    Inc.
    Employees
    200
    Total Funding
    $513M+
    Investors
    Prosperity7 Ventures, Pavilion Capital
    Office Locations
    New York
    Shanghai
    London
    Berlin
    +1 more

    Funding History

    Series C / Other$400M
    September 2025
    Not publicly disclosed valuation
    Series B Extension$60M
    August 2022
    Not publicly disclosed valuation
    Prosperity7 Ventures
    Series B$43M
    November 2020
    Not publicly disclosed valuation
    Hillhouse Capital
    Trustbridge Partners

    History & Milestones

    2025

    Raised $400M in a new funding round to accelerate AI infrastructure development.

    2024

    Collaborated with Pliops to enable billion-scale vector search; Celebrated major customer milestones.

    2023

    Launched major updates to Zilliz Cloud, the managed version of Milvus.

    2022

    Raised $60M in Series B extension funding to expand Silicon Valley operations.

    2021

    Milvus graduated as a top-level project in LF AI & Data Foundation.

    Key Capabilities

    8
    Vector search
    Hybrid search
    Filtered search
    Elastic scaling
    Multi-replica support
    RBAC

    Integrations & Partnerships

    Platform Integrations

    • AWS Marketplace
    • GCP Marketplace
    • Azure Marketplace
    • LangChain
    • LlamaIndex

    Key Partnerships

    OpenAI
    Nvidia
    Microsoft Azure

    Connect

    Website
    zilliz.com
    GitHub
    zilliztech

    AI Topics

    3

    Zilliz Tech focuses on these topics:

    MCP Servers(1)
    Agent Memory(1)
    Vector Databases(1)
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