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Jedify Raises $24M Series A to Build Real-Time Context Graphs for Enterprise AI Agents

Markets1 source·Jun 10

Summary

  • • Jedify raises $24M Series A led by Norwest to solve the enterprise AI agent context problem
  • • Platform connects enterprise data sources — databases, SaaS, Slack, meetings — into a real-time context graph
  • • Snowflake joins as strategic investor, integrating Jedify into Cortex AI, Semantic Views, and CoWork
  • • Startup targets mid-to-large enterprises with mature data stacks; 10–20 early customers including The Weather Company
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Details

Financials

$24M Series A raised

Led by Norwest; participating: S Capital VC, Cerca Partners (returning), Oceans Ventures (new), and Snowflake as strategic investor

Product Launch

Enterprise context graph platform

Connects databases, data warehouses, SaaS apps, BI tools, Slack channels, meeting recordings, and code bases to build real-time business context for AI agents

Partnership

Snowflake strategic integration

Snowflake invested and is integrating Jedify with its Cortex AI service, Semantic Views, and CoWork enterprise products

Tech Info

Permission-aware, real-time context

Inherits row-, column-, and table-level permissions from identity and SaaS systems; customers define additional access groups; updates in real time as enterprise data flows

Industry Update

10–20 customers including The Weather Company

Example: Kiteworks connected Snowflake, Tableau, Notion, and internal playbooks to Jedify to power real-time seller and account applications

Covers Jedify's Series A funding, context graph architecture, Snowflake partnership, and early customer traction

What This Means

Jedify addresses a critical and underappreciated bottleneck in enterprise AI agent deployments: the absence of rich, permission-aware business context that would allow agents to operate autonomously without hallucinating company-specific details. The Snowflake strategic investment is a strong validation signal, given Snowflake's central role in enterprise data infrastructure and the immediate distribution leverage it provides. As AI agents move from prototypes to production workflows, context and permissions management is emerging as a foundational infrastructure layer — and Jedify is positioning to own that space across multi-cloud, multi-tool enterprise environments.

Sources

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