Superlinked
Superlinked is a compute and data-engineering framework for turning structured and unstructured data into vector embeddings, addressing the embedding-generation step that most vector databases assume is already done. Founded by …
What Superlinked Does
Superlinked is a compute and data-engineering framework for turning structured and unstructured data into vector embeddings, addressing the embedding-generation step that most vector databases assume is already done. Founded by Daniel Svonava and Ben Gutkovich and headquartered in San Francisco with offices in London and Budapest, Superlinked plugs into existing vector and general-purpose databases, with integrations including MongoDB, Redis, Dataiku, and Starburst, to build RAG, search, analytics, and recommendation systems on top of one embedding layer.
The company raised a $9.5 million seed round in March 2024 led by Index Ventures with Theory Ventures participating. Choose Superlinked when embedding generation and multi-modal feature engineering — not vector storage itself — is the gap in your retrieval stack.
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