NEW YORK, June 10, 2026 (GLOBE NEWSWIRE) -- Jedify, the autonomous context graph for data-intensive agentic applications and workflows, today announced $24 million in Series A funding led by Norwest, with a strategic investment from Snowflake Ventures and participation from existing investors S Capital VC and Cerca Partners, as well as new investors Oceans Ventures. Jedify previously raised an $8.5 million seed round in September 2023, led by S Capital VC with participation from Cerca Partners, bringing total funding to just over $33 million. Assaf Harel, Partner at Norwest, will join Jedify's board of directors.
The funding will be used to accelerate product development, expand go-to-market and expand its workforce as Jedify addresses one of the most critical and underserved challenges in enterprise AI: giving AI agents the deep, trusted context they require to move from prototype to production. Without runtime business context, agents either hallucinate because they lack the right context or waste tokens because they process too much irrelevant information.
"In order for an agentic workflow to really work well for an enterprise at scale, it needs a very deep understanding of that business," said Assaf Henkin, co-founder and CEO of Jedify. "Enterprise data is fragmented across systems, definitions, permissions, and workflows. Jedify turns that fragmented knowledge into a live context graph that agents can use to produce accurate, cost-efficient, business-ready answers."
The Enterprise AI Context Problem Despite billions of dollars invested in large language models, most enterprise AI initiatives fail due to a lack of proper context. While models can generate fluent answers, they cannot determine things like which definition of revenue to use, which customer record is current, or which operational assumptions matter unless that context is available at runtime. Enterprises are sitting on vast, complex data spread across dozens of SaaS tools, data warehouses, CRMs, financial systems and unstructured ...
