Jedify raises $24M to help companies arm AI agents with context on their business

New York-based startup Jedify is poised to transform how businesses leverage AI by securing $24 million in a Series A funding round. The investment, led by Norwest, will support the company’s mission to bridge the gap between AI capabilities and enterprise-specific contexts. Unlike traditional AI solutions that are marketed as plug-and-play, Jedify recognizes that effective AI agents need specialized training to understand the nuances of each business. Their innovative platform connects to various enterprise knowledge sources via APIs, creating a 'context graph' that helps AI agents operate more efficiently. These knowledge sources can range from databases and data lakes to SaaS applications and unstructured data like reports and documentation. By providing AI agents with this contextual information, Jedify enables them to focus on relevant data for specific tasks, thereby enhancing productivity and decision-making. The funding round included contributions from returning investors S Capital VC and Cerca Partners, along with new investor Oceans Ventures. Notably, data giant Snowflake participated as a strategic investor, integrating Jedify’s technology with its AI products, including Cortex AI and Semantic Views. Jedify’s co-founder and CEO Assaf Henkin highlighted the importance of contextual understanding in AI applications. He provided an example of Kiteworks, a compliance company that successfully integrated multiple platforms with Jedify to create customized tools for their teams. This integration allows sales and account teams to access real-time information during customer interactions, making them better equipped for discussions. Henkin emphasized that Jedify's context graph differs from existing semantic layers and knowledge graphs due to its multi-dimensional nature. It captures relationships across various entities, including data, permissions, and workflows, and updates in real-time as information changes. Addressing security concerns, Jedify’s platform ensures proper access controls by inheriting permissions from various identity and data management systems. This feature allows businesses to define who and what information AI agents can access, thus maintaining confidentiality and compliance. Currently, Jedify is focusing on mid-market and large enterprises with sophisticated data infrastructures. With between 10 and 20 early adopters, including The Weather Company, it is attracting interest from data-intensive sectors such as gaming and consumer packaged goods. Henkin believes that the partnership with Snowflake is advantageous, as many organizations operate with multiple data solutions rather than relying solely on a single cloud provider. Looking ahead, Jedify plans to utilize its new funding for product enhancement, team expansion, and strategic market initiatives, bringing its total funding to approximately $33 million. The company’s commitment to developing proprietary context layers could provide a significant competitive edge as AI technologies continue to evolve.