Superlinked, a San Francisco, CA-based provider of a solution for turning complex data into vector embeddings, raised $9.5m in seed funding.
The round was led by Index Ventures, with participation from Theory Ventures, 20Sales, Firestreak and several tech executives.
The company intends to use the capital to further scale to meet market demand and expand product capabilities.
Founded by Daniel Svonava and Ben Gutkovich, Superlinked is a compute and data engineering framework to turn data into vector embeddings, optimizing retrieval control, quality, and efficiency in real time so that companies can build Analytics, RAG, Search and Recommendation solutions.
Superlinked has already partnered with several tech companies, including MongoDB, Redis, Dataiku, Starburst and others on integrations to expand its reach and capabilities.
The company, which also has offices in London, UK and Budapest, Hungary, launched a private alpha of its product and closed enterprise customer contracts to make data accessible for ML systems in information retrieval and feature engineering.
FinSMEs
18/03/2024