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Jedify Raises $24M for 'Context Graphs' Linking Structured and Unstructured Enterprise Data
New York's Jedify raised a $24M Series A on June 11, led by Norwest Ventures, to build context graphs that connect structured and unstructured enterprise data for AI agents. The approach is squarely in the GraphRAG lineage — making private company data queryable as a graph so agents can act on it, echoing the 'untrainable corner' thesis from the same week's Sarah Guo essay. Relevant for builders wiring retrieval layers under production agents.
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