Jedify raises $24M to build context graphs for AI agents

New York-based Jedify has raised $24 million in a Series A funding round. The investment will be used for product development and go-to-market expansion. The funding round was led by Norwest, with participation from a group of strategic and venture investors:

• Norwest (lead investor)
• S Capital VC (returning investor)
• Cerca Partners (returning investor)
• Oceans Ventures (new investor)
• Snowflake (strategic investor and partner)

The company’s platform connects to enterprise knowledge sources to build a context graph—defined as a platform feature that connects enterprise knowledge sources to provide context for AI agents. This technology addresses a critical gap for AI agents, which often lack the specific business context, such as relationships, permissions, and terminology, required to operate effectively. By establishing these connections, Jedify aims to enable agentic solutions—meaning AI agents capable of autonomous action—to make decisions across multiple databases and software applications. This context allows an AI agent to focus on information relevant to a specific task rather than searching across all of an organization’s data.

According to Assaf Henkin, co-founder and CEO of Jedify, “When you want to enable an agentic solution to really be autonomous, to drive decisions across CRM data, Zendesk tickets, maybe telemetry data that’s coming in real time, that’s when a context graph is much better in terms of capabilities versus a semantic layer,” Henkin argued that while large data companies suggest consolidating all information, most enterprise knowledge and data remain scattered across multiple databases and solutions.

Jedify currently has between 10 and 20 early customers, including Kiteworks and The Weather Company. These early adopters use the platform to surface specific details proactively during customer-facing workflows. For example, Kiteworks used Jedify to build tools for its sellers and account teams. Henkin noted that Kiteworks wanted to equip its sales and account teams with an application that functions as both a dashboard and a real-time conversational tool, allowing them to proactively access specific details during customer meetings.

The Series A round brings the startup’s total funding to about $33 million. In addition to the capital, strategic investor Snowflake is integrating Jedify’s technology with its own AI products.

Why it matters

AI agents often struggle to operate autonomously because they lack the specific business context—such as organizational relationships, user permissions, and company-specific terminology—needed to navigate complex enterprise environments. By building a dedicated context layer, startups like Jedify aim to make autonomous AI tools practical for enterprise workflows.