Jedify Raises $24M Series A to Help Enterprises Deploy AI Agents with Business Context
Jedify, a New York-based startup, raised $24 million in Series A funding led by Norwest to help enterprises integrate AI agents with their business data and knowledge. The platform builds a "context graph" connecting to databases, data warehouses, SaaS apps, and unstructured sources so AI agents can understand company-specific information like revenue definitions and data permissions. The funding reflects growing demand for solutions that bridge the gap between generic AI products and enterprise-specific implementation needs.
Jedify has secured $24 million in Series A funding to address a critical gap in enterprise AI deployment: the need for AI agents to understand company-specific context before becoming useful. The platform connects to various data sources—including databases, data warehouses, SaaS applications, BI tools, and unstructured sources like documentation and Slack channels—to build a multi-dimensional context graph that helps AI agents focus on relevant information for specific tasks. The round was led by Norwest and included participation from returning investors S Capital VC and Cerca Partners, new investor Oceans Ventures, and strategic investor Snowflake, which is integrating Jedify's technology into its AI products. The startup's approach differs from existing semantic layers and metadata catalogs by capturing relationships across entities, data, people, permissions, and customers in real time. Jedify also addresses enterprise concerns around data governance by inheriting permissions from identity systems and databases, ensuring AI agents cannot access information beyond their authorization level.
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Jedify raises $24M to help companies arm AI agents with context on their business
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