M

Marqo

www.marqo.ai link_icon

Company Market Research Report



Company Overview



  • Name: Marqo

  • Mission: Marqo is on a mission to build retrieval technology that powers AI, search, and recommendations for the next decade and beyond.

  • Founded: 2021

  • Founders: No specific founders mentioned.

  • Key People:

  • Tom Hamer - Co-Founder and CEO

  • Jesse N. Clark - Co-Founder & CTO

  • Antonio Dolcetta - Software Engineer

  • Edwin Foh - Senior Software Engineer

  • Al Sargent - VP Marketing

  • Headquarters:

  • 215 Kearny St., San Francisco, CA, USA

  • 276 Flinders St., Melbourne, Victoria, Australia

  • Third Floor, 1 Cowcross St., London, UK

  • Number of Employees: 11-50 employees

  • Revenue: No information is available

  • What is the Company Known For: Marqo provides an end-to-end vector search engine for both text and images, handling vector generation, storage, and retrieval through a single API.


Products



Marqo Cloud


  • Description: An end-to-end cloud platform that builds transformative search, recommendation, and Retrieval Augmented Generation (RAG) applications.

  • Key Features:

  • Low latency optimized deployment

  • Scale inference with a button click

  • High availability and 24/7 support


Marqo Open Source


  • Description: A vector search engine handling text and images, providing vector generation, storage, and retrieval out of the box through a single API.

  • Key Features:

  • In-memory HNSW indexes for rapid search speeds

  • Horizontal index sharding for scalability

  • Asynchronous and non-blocking data management


Marqo E-commerce


  • Description: AI-based enhancement for existing e-commerce product searches to increase relevance, order size, and conversion rates.


Marqtune


  • Description: An embedding model training platform designed to improve search relevance and RAG applications through advanced embedding models and Generalized Contrastive Learning (GCL).


Recent Developments



  • New Products Launched:

  • Marqtune: Introduced as an embedding model training platform.

  • New Features Added:

  • Storage resizing feature in Marqo Cloud.

  • Support for video and audio search.

  • New Partnerships:

  • Selected to participate in the 2024 AWS Generative AI Accelerator.

  • Release Updates:

  • Marqo Cloud launched and generally became available.

  • Participation in funding rounds for continued development and expansion, including a Series A funding round with $12.5 million raised.


Conclusion



With proprietary models and end-to-end vector search capabilities, Marqo stands out by enabling businesses to implement complex search systems with minimal effort. It is well-positioned in the AI search technology landscape, focusing on cutting-edge applications and robust cloud services to cater to modern business needs.