Marqo operates a vector search platform that includes the machine learning capabilities and infrastructure needed to deploy next-generation AI-powered search, handling vector generation, storage, and retrieval through a single API. Its proprietary inference engine converts unstructured data into high-performance vectors that return hyper-relevant search results in real time. The platform enables multimodal, multilingual search and is being adopted by developers for end-user search and retrieval-augmented generation. Marqo counts Redbubble and Temple & Webster as customers. The company raised a $12.5M Series A that brought total funding to $17.8M and intends to use the proceeds to advance adoption of its search platform. Marqo is led by CEO Tom Hamer and is based in San Francisco and Melbourne. Marqo is an end-to-end, multimodal vector search engine that uses machine learning models to return more accurate search results by understanding content and meaning. Users can search with text, images, or a combination of both, and the technology initially targets end-user search use cases such as ecommerce and marketplaces. Marqo also positions its technology for applications in generative AI, analytics, and security. The company has launched a new service (currently in closed beta) that allows models to automatically learn from user engagement to continuously improve relevance. Marqo plans to use the funds to scale its existing cloud service and further develop search technology that learns from engagement. The company was founded by Jesse Clark and Tom Hamer and has offices in Melbourne, London, and San Francisco.

Total raised

$18M

Funding rounds

2

Latest round

Series A

Latest activity

Feb 2024