Exotrail

Vespa is a developer of an AI-powered search and serving platform that unifies vector search, lexical search, and structured data search with integrated distributed machine learning inference for business-critical AI applications. The platform enables organizations to query, organize, and make inferences across vectors, tensors, text, and structured data at scale, supporting billions of constantly changing data items with thousands of queries per second and latencies below 100 milliseconds. Vespa supports use cases including search, generative AI with retrieval-augmented generation, recommendation and personalization, semi-structured navigation for e-commerce, and personal or private search through streaming search mode that delivers features at 20x lower cost than indexing. The platform offers features including distributed machine-learned ranking, infinite automated scalability, continuous deployment and upgrades, and fully managed cloud hosting with strong security. Vespa is available as an open-source project on GitHub and as Vespa Cloud, including deployment on AWS. Customers include Spotify, Perplexity, Yahoo, Elicit, Farfetch, Vinted, OkCupid, Groupon, and OpenGov. Founded in 2017 and headquartered in Trondheim, Norway, Vespa has raised $31 million in Series A funding from Blossom Capital.

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