Jedify raises $24M to fix enterprise AI's fatal memory problem
jedify raised $24m in a series a led by norwest to build a context graph that connects business data to ai agents. this solves the 'blank slate' problem where agents lack company-specific knowledge to be useful in corporate environments.
jedify raised $24m in a series a led by norwest to scale its ai context graph platform, which connects to enterprise data sources like snowflake, tableau, and notion to inform agents about company-specific workflows and terminology. unlike static semantic layers, jedify's graph updates in real time and inherits strict permissions from source systems to prevent unauthorized data access. strategic investor snowflake is integrating jedify's tech into its cortex ai and semantic views services. customers like kiteworks use the platform to arm sales teams with real-time, agent-generated insights during client calls. this funding signals a shift from building generic models to solving the costly integration gap required for enterprise agent adoption.