Jedify, headquartered in New York, has completed a $24 million Series A round led by Norwest, with participation from S Capital VC, Cerca Partners, and Oceans Ventures. Snowflake has also joined as a strategic investor and will integrate Jedify’s technology into its products, including Cortex AI, Semantic Views, and CoWork. Following this round, the company has raised approximately $33 million in total.
The platform targets enterprise knowledge fragmentation.
Jedify aims to address a common challenge in deploying enterprise AI agents: the models themselves lack understanding of the company’s business definitions, permission systems, and internal processes. The company states that its platform can connect via API to databases, data warehouses, SaaS applications, BI tools, as well as unstructured information sources such as documents, code repositories, Slack channels, and meeting transcripts, to build a “context graph” tailored to enterprise internal knowledge.
According to Jedify, for AI agents within an enterprise to truly execute tasks, they must not only read data but also understand relationships between entities, access permissions, business terminology, workflows, and operational assumptions. This enables agents to narrow their search to specific tasks rather than conducting undifferentiated searches across all enterprise information.
The customer has integrated multiple business systems.
Company co-founder and CEO Assaf Henkin cited the compliance company Kiteworks, which has integrated Snowflake, Tableau, Notion, and internal operating manuals into Jedify to build agent tools tailored to different customer workflows. Its sales and customer teams can instantly generate required background information before engaging with clients and retrieve more detailed content in real time during conversations.
Currently, Jedify primarily serves medium and large enterprise customers with mature data stacks. Henkin noted that the company already has 10 to 20 early customers, including The Weather Company, and is seeing demand in data-intensive industries such as gaming, industrial, and consumer goods.
Access control and collaboration with partners for integration
When enterprises deploy AI agents, permission management is often one of the most sensitive issues. Jedify states that the platform inherits permission settings from identity systems, file systems, SaaS tools, and databases, including row-level, column-level, and table-level access rules; it also allows customers to define additional groups to restrict the objects and scope accessible to agents or workflows.
Snowflake’s participation and partnership were a key focus of this funding round. Jedify believes that enterprise data is often scattered across multiple databases, warehouses, and software systems, and much organizational knowledge is not centrally stored in a single cloud platform. The new funds will primarily be used for product development, hiring, and market expansion.