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    3. Marqo

    Marqo

    Marqo is an end-to-end multimodal vector search engine that helps businesses create AI-powered search and discovery applications with a single API.

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    At a Glance

    1Tool Listed
    5Products
    9Tool Views
    5Capabilities
    Discussions
    San Francisco, CaliforniaHeadquarters
    2022Est.
    41Employees
    $18.5MRaised
    Focus Areas
    Search and Discovery
    E-commerce Personalization
    Product Recommendations
    Connect
    Latest News
    Marqo Raises $12.5M to Make AI-powered Vector Search SeamlessFeb 13, 2024
    Former Amazon duo bank $8.1 million Seed round for MarqoAug 9, 2023
    Markets
    • Mid-market and enterprise retailers
    • Ecommerce platforms
    • Marketplaces

    AI Tools by Marqo

    (1)
    View Marqo
    Marqo tool icon

    Marqo

    AI Product Search for Ecommerce

    Search & DiscoveryE-comm PersonalizationProduct Recs

    Discussions

    No discussions yet

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    Latest News

    02/13/2024

    Marqo Raises $12.5M to Make AI-powered Vector Search Seamless

    GlobeNewswire
    08/09/2023

    Former Amazon duo bank $8.1 million Seed round for Marqo

    Startup Daily
    01/01/2025

    Marqo presents AI-native search framework at eTail West 2025

    Marqo Blog
    01/01/2026

    Release of the State of AI in Consumer & Retail 2026 Report

    Marqo Website

    Products & Services

    5
    Ecommerce Search
    2022

    AI-native search engine that understands shopper intent and delivers personalized results using click-stream and purchase data.

    Merchandising
    2023

    Automated ranking, boosts, and filters to reduce manual merchandising effort and optimize for business KPIs.

    Smart Category & Listing Pages
    2023

    Dynamic, AI-driven category pages that adapt in real-time to shopper intent.

    Recommendations
    2023

    AI-powered product recommendations based on visual similarity and customer profiles.

    Market Position

    Marqo differentiates itself from legacy search (Algolia, Elasticsearch) by providing an 'end-to-end' vector search stack that includes the vector generation models, eliminating the need for separate ML pipelines.

    Leadership

    Founders

    TH

    Tom Hamer

    Co-Founder & CEO. Previously a software engineer at Amazon and AWS. Taught himself to code at age 14.

    JC

    Jesse Clark

    Co-Founder & CTO. Former Lead Machine Learning Scientist at Amazon Robotics AI, Principal Scientist at Stitch Fix, and Peter-Paul Ewald Research Fellow in Physics at Stanford University.

    RS

    Rob Skillington

    Co-founder. Previously Co-founder and CTO of Chronosphere (acquired by Palo Alto Networks), and a software engineer at Uber where he was the creator of the M3 observability platform.

    Executive Team

    TH

    Tom Hamer

    Co-Founder & CEO

    Ex-Amazon/AWS software engineer.

    JC

    Jesse Clark

    Co-Founder & CTO

    Ex-Amazon Lead Scientist, Stitch Fix Principal Scientist.

    Board of Directors

    NC
    Nick Crocker
    Board Member / Partner at Blackbird Ventures
    NI
    Nnamdi Iregbulem
    Board Member / Partner at Lightspeed Venture Partners
    JH
    Jonathan Hodson
    Board Member / Partner at Creator Fund

    Founding Story

    Marqo was founded by ex-Amazon employees Jesse Clark and Tom Hamer who recognized that existing vector databases were too complex for developers. They set out to build an 'AI-native' search engine that combines vector generation, storage, and retrieval in one seamless platform.

    Business Model

    Revenue
    $4.5M ARR (estimated)

    Revenue Model

    SaaS and usage-based subscriptions for cloud services.

    Pricing Tiers

    Marqo Cloud
    Usage-based

    Standard offering for developers and mid-market companies.

    Enterprise / Professional Services
    Custom

    Tailored solutions for large retailers with custom LLM training and integration support.

    Privately held

    Target Markets

    Industries & Segments
    • Mid-market and enterprise retailers
    • Ecommerce platforms
    • Marketplaces
    Use Cases
    • Ecommerce product discovery
    • Personalized recommendations
    • Visual search
    • Automated merchandising
    Notable Customers
    • Mejuri
    • Redbubble
    • Kicks Crew
    • Shutterstock

    Quick Facts

    Headquarters
    San Francisco, California, USA
    Founded
    2022
    Entity Type
    Inc.
    Employees
    41
    Total Funding
    $18.5 million+
    Investors
    Blackbird Ventures, Lightspeed Venture Partners
    Office Locations
    San Francisco
    Melbourne
    London

    Funding History

    Series A$12.5 million
    Feb 13, 2024
    Not disclosed valuation
    Lightspeed Venture Partners
    Seed$8.1 million
    Aug 9, 2023
    Not disclosed valuation
    Blackbird Ventures
    Pre-Seed£660,000
    Oct 2022
    Not disclosed valuation
    Creator Fund

    History & Milestones

    2025

    Expanded enterprise presence with significant customers like Mejuri, Redbubble, and Shutterstock.

    February 2024

    Raised $12.5 million in Series A funding led by Lightspeed Venture Partners and relocated headquarters to San Francisco.

    August 2023

    Raised $8.1 million in Seed funding led by Blackbird Ventures.

    June 2022

    Marqo was founded in Melbourne, Australia by Tom Hamer and Jesse Clark.

    October 2022

    Launched out of stealth with a £660K pre-seed round from Creator Fund.

    Key Capabilities

    5
    Multimodal search (text, image, audio, video)
    One-click integrations with Shopify/Salesforce
    Adaptive AI ranking
    Instant indexing
    Custom LLM training

    Integrations & Partnerships

    Platform Integrations

    • GitHub
    • Hugging Face
    • Slack
    • AWS

    Key Partnerships

    Shopify
    Adobe Commerce
    Salesforce Commerce Cloud

    Connect

    Website
    marqo.ai
    GitHub
    marqo-ai
    X / Twitter
    marqo_ai
    LinkedIn
    marqo-ai
    YouTube
    @marqo-ai
    Slack
    slack.com/oauth/marqo-community
    Instagram
    @marqo_ai

    AI Topics

    3

    Marqo focuses on these topics:

    Search and Discovery(1)
    E-commerce Personalization(1)
    Product Recommendations(1)
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