The data engineer’s solution to turning data into vector embeddings. Building LLM demos is cool, turning 1B user clicks and millions of documents into vectors is cooler.
The data engineer’s solution to turning data into vector embeddings. Building LLM demos is cool, turning 1B user clicks and millions of documents into vectors is cooler.
What they do: Build a Python framework and managed product that converts semi-structured and multi-modal data into vector embeddings for search, RAG, recommendations, and analytics.
Headquarters: San Francisco, California
Founders: Daniel Svonava and Ben Gutkovich
Recent funding: $9.5M Seed announced Mar 2024 (lead: Index Ventures)
Employees: 36
Vector search and matching for semi-structured and multi-modal data; productionizing embeddings at scale.
2021
Data Infrastructure and Analytics
$9.5M
Seed round announced March 2024.
“Index Ventures led the Seed; participating investors reported include MMC Ventures and individual angels.”
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