Marqo is a vector search platform equipped with essential machine learning capabilities and infrastructure for deploying AI-driven search. It manages the entire process from vector creation to storage and retrieval, facilitating the integration of multimodal, multilingual search via a unified API.

Marqo

Store and query unstructured data such as text, images, and code through a single API.

Creator Fund

January Capital

Blackbird Ventures

Aidan Gomez

Ivan Zhang

Lightspeed Venture Partners

Rob Skillington

We are excited to announce that Marqo has closed a $12.5M (USD) Series A funding round to usher in the next generation of vector search.

Marqo was founded because we recognized that vector search is going to be the key to harnessing the value of unstructured data and realizing the full potential of AI. This funding round is a huge step on our journey as we continue to scale our business and expand our presence in the US. Thank you to all of our investors (including Lightspeed, Blackbird, January Capital and Rob Skillington), partners, customers, and the developer community who have helped us get here. 

It’s only the beginning for Marqo and we’re so excited for what’s ahead!

Read the full news here: https://lnkd.in/dMAmrsyW

I got goosebumps yesterday hearing this from a prospect on a first call...


"Yeah. I mean, I've already tested it out. It's already fantastic. I mean, Brett, you missed this, but we have some engineers that have been building AI solutions for the past two years. In actual fact, they've spent 18 months trying to build something. 

And then they brought some engineers in house and tried to build some stuff and it doesn't work very well, and in the space of, I don't know two days I've essentially reproduced the work that they've done, using Marqo and it's you know, it's five lines of code and it does everything that these people have built and it does it way better. 

So there's no question that, this is what I will be using and I will be, you know, pushing the company to use this for everything."


Early stage isn't always about the data. It's about these kinds of conversations that validate the team and the technology is on the right path. 🚀  🚀  

If you don't have an army of 15 AI/ML engineers, and want to roll out a genAI use case to production, I would highly recommend taking a look it Marqo. 

(Gong snippet below for the proof 😀 ) 

#vectorsearch #vectordb #opensource 

From Tess Bennett's coverage about our most recent funding round for AFR: “Investors have been impressed by the young company’s commercial traction, with Redbubble and Temple & Webster deploying Marqo’s technology to improve the search function on their e-commerce sites. Backers also believe the company is selling the ‘picks and shovels’ in the AI gold rush, providing search-and-retrieval technology that makes AI chatbots more accurate.” 

Read the full story here: https://lnkd.in/gZadMhuP

Bloomberg’s Saritha Rai sat down with our founders Tom Hamer 🦛 and Jesse N. Clark to learn more about our Series A funding and how we’re helping businesses harness the power of unstructured data with vector search. 

Read the full story here: https://lnkd.in/dAJR2_6A 

We are pleased to announce the integration of Marqo Cloud with Datadog! Now you can:
- Monitor the performance and availability of your Marqo Cloud indexes seamlessly within Datadog.
- Configure Datadog alerting for your Marqo Cloud indexes.

To get started, visit https://lnkd.in/gJYkVi3d.

Learn more about Marqo Cloud and Marqo:
Marqo Cloud: https://www.marqo.ai/cloud
Marqo Open-Source: https://lnkd.in/gvDx4c2N
Marqo Blog: https://www.marqo.ai/blog

#MarqoCloud #Datadog #Integration #DataMonitoring #Marqo

AI:MARQO

Marqo

locale

market

industry

website

crunchbase

linkedin

founding date

peer of

investor of

Metrics