Vector search company Marqo announced it had closed a $12.5 million Series A funding round led by Lightspeed with participation from Blackbird VC, January Capital, and Chronosphere founder and CTO Rob Skillington. This funding round will advance the adoption of its next-generation search platform, unlocking the massive value of unstructured data across business-critical applications like end-user search, retrieval-augmented generation, etc. The new round of funding brings the company’s total financing to $17.8 million.
Unstructured data – which Gartner estimates makes up more than 80% of all enterprise data – represents the biggest untapped information resource in the world. For businesses, harnessing that data through vector search is key to delivering better search experiences and building more relevant and up-to-date generative AI applications. However, existing approaches to deploying vector search – which involve stringing together embedding models and separate databases – have proven to be expensive and complex, often resulting in inefficient deployments and subpar search capabilities.
Unlike traditional vector databases and search tools, Marqo’s vector search platform handles the entire process – from embedding generation to storage and retrieval, enabling seamless implementation of multimodal, multilingual search – with a single API. And at the platform’s core is a proprietary inference engine that utilizes state-of-the-art machine learning models to convert unstructured data into highly performant vectors that return hyper-relevant search results in real-time.
Marqo offers open source access to its core code for developers and a fully managed cloud service, Marqo Cloud, which is optimized for production and suited to enterprises looking to build innovative search experiences and improve topline.
Relevant and reliable search is especially important for e-commerce companies and online marketplaces. And not only is it a core revenue driver, it is also the foundation for building customer trust and loyalty. Since launching Marqo Cloud, the company has seen significant adoption from enterprises across this space and counts Redbubble and Temple & Webster among its customer base.
Marqo will relocate its headquarters to San Francisco along with the Series A round. And Marqo CEO Tom Hamer will also relocate to support the expansion, joining Brett Umberg, formerly VP of Sales at RudderStack, who has joined Marqo as Head of Sales. The company will maintain its presence in both London and Australia.
KEY QUOTES:
“We founded Marqo because we recognized that vector search was going to be instrumental in realizing the full potential of AI in our day-to-day lives, but it is far too complicated for developers and enterprises to deploy. We saw a need to invent a platform that not only generated superior vector embeddings but also empowered customers to build advanced search experiences within minutes, not months. This funding is validation of our approach and will help us scale up to meet the tremendous demand we’re seeing.”
- Tom Hamer, CEO and co-founder of Marqo
“Mastering unstructured data will be the key to success in the AI race. Our platform transforms this challenge into an opportunity, creating vector embeddings that deliver intuitive and accurate search results with human-like understanding. It opens up tremendous possibilities for the future of search, smarter LLMs, and much more.”
- Jesse Clark, CTO and co-founder of Marqo
“The world of search is fast moving from ‘keyword-based’ to ‘natural language-based’ thanks to wide adoption of products such as ChatGPT. Marqo’s mission is to bring this transformational technology to every company in the world through a simple developer API and an enterprise-grade platform offered on-prem and on cloud. Their early growth has been phenomenal and we are excited to back this amazing team helping consumers to search the way they think.”
- Hemant Mohapatra, Partner at Lightspeed
“Discovery fuels our business so it’s imperative that we deliver high quality and relevant search experiences to our customers. With Marqo, we were able to deploy advanced vector search quickly and easily and see results instantly. We went from sign-up to production A/B testing in five days and, within the next week, had rolled out a new feature to 100% of our traffic after we saw an improvement in key metrics.”
- Anthony Ziebell, Head of AI at Temple & Webster
