The funding round, which brings the company’s total capital to approximately $33 million, included participation from S Capital VC, Cerca Partners, and Oceans Ventures. Strategic investor Snowflake is also integrating Jedify’s technology into its own suite of AI services, including Cortex AI and CoWork. CEO Assaf Henkin argues that enterprise AI often fails because models lack an understanding of the relationships between data, people, and workflows. Jedify addresses this by aggregating information from databases, SaaS tools, and unstructured sources like Slack and meeting recordings to create a real-time, model-agnostic knowledge layer.
In section Startups & Technology
Jedify Secures $24 Million to Give AI Agents Business Context
New York startup Jedify has raised $24 million in a Series A round led by Norwest to bridge the gap between off-the-shelf AI and corporate utility. By connecting to internal knowledge sources, the platform builds a multi-dimensional context graph that allows AI agents to navigate specific business terminology and access rules.
Unlike traditional metadata catalogs, Jedify’s graph captures complex internal dependencies while inheriting security permissions from existing identity and file systems. This prevents unauthorized access to sensitive data, such as executive financial projections. Currently serving between 10 and 20 customers, including The Weather Company, the startup is focusing on firms with mature data stacks. Henkin maintains that while cloud providers encourage centralized data storage, most companies operate across fragmented environments, making a platform that spans multiple silos a necessity for truly autonomous agents.
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