Jedify, a New York-based startup, has raised $24 million in a Series A funding round to help enterprises equip AI agents with contextual knowledge of their business operations. The round was led by Norwest, with participation from S Capital VC, Cerca Partners, Oceans Ventures, and Snowflake as a strategic investor. The company aims to bridge the gap between AI agents and the specific business context needed for them to function effectively within enterprises.
Jedify’s platform connects to enterprises’ knowledge sources via APIs to build a 'context graph' that AI agents can use to work better. These sources include databases, data warehouses, SaaS apps, BI tools, and unstructured data such as reports, documentation, and Slack channels. The context graph captures relationships across entities, data, people, permissions, and customers, allowing AI agents to focus on relevant information for specific tasks.
The company highlighted Kiteworks, a compliance firm, as an example of how customers are using Jedify. Kiteworks integrated Snowflake, Tableau, Notion, and internal playbooks into Jedify to build agentic tools for customer workflows. Jedify’s context graph is different from existing semantic layers and metadata catalogs because it is multi-dimensional and updates in real time as information flows into and out of connected systems.
Source: techcrunch
