AI research lab building agentic search models that provide accurate context retrieval for AI agents and applications.
SID is an AI research lab based in San Francisco and Zürich that trains models to retrieve and reason over data sources to provide context for AI applications. Their first product, SID-1, is an agentic search model that the company claims doubles embedding-only accuracy and outperforms frontier models on complex search tasks. SID is backed by YC, Canaan, Rebel, and General Catalyst. SID is a product of SID.