Tech
Jun 10, 2026
Jedify Raises $24M to Arm Enterprise AI Agents with Context Graphs
New York‑based Jedify has closed a $24 million Series A round to deliver a multi‑dimensional contex…
Jedify, a New York startup, announced a $24 million Series A funding round led by Norwest, with participation from Snowflake, S Capital VC, Cerca Partners, and Oceans Ventures. The capital will accelerate the rollout of its context‑graph platform, which connects to an enterprise’s data sources to give AI agents the business‑specific knowledge they need to operate safely and effectively.
Building a Multi‑Dimensional Context Graph for Enterprise AI
Jedify’s platform ingests structured and unstructured data—from databases, data warehouses, SaaS apps, BI tools, to Slack channels and meeting recordings—via APIs to construct a dynamic “context graph.” This graph captures relationships among entities, data, permissions, workflows, and domain terminology, updating in real time and remaining model‑agnostic.
Supports databases, data lakes, Snowflake, Tableau, Notion, and more.
Inherits row‑, column‑, and table‑level permissions from identity and file systems.
Provides observability and governance tools for AI‑agent behavior.
$24 Million Funding Round Highlights Investor Confidence
The Series A round brings Jedify’s total financing to roughly $33 million. Key investors include:
Norwest – lead investor.
Snowflake – strategic investor integrating Jedify’s tech with Cortex AI, Semantic Views, and CoWork.
S Capital VC and Cerca Partners – returning backers.
Oceans Ventures – new participant.
The capital will fund product development, hiring, and go‑to‑market initiatives.
Why Context Graphs Could Redefine Enterprise AI Adoption
Enterprise AI agents often stumble when they lack access to company‑specific knowledge and permission structures. Jedify’s context graph addresses three core pain points:
Relevance: Agents focus on data pertinent to a task, reducing noise.
Security: Permission inheritance prevents unauthorized data exposure.
Scalability: Real‑time updates keep the graph aligned with evolving business information.
Early adopters such as Kiteworks and The Weather Company are using the platform to build conversational dashboards for sales and support teams, demonstrating tangible productivity gains.
Future Roadmap: Scaling, Partnerships, and Competitive Landscape
Looking ahead, Jedify plans to:
Target mid‑market and large enterprises with mature data stacks.
Expand integrations beyond Snowflake to other cloud data platforms.
Enhance governance features to meet tightening AI‑token‑usage regulations.
Leverage the growing interchangeability of AI models to position its context graph as a durable moat.
As data‑heavy sectors—gaming, industrials, consumer packaged goods—seek AI‑driven automation, Jedify’s approach could become a standard layer for safe, context‑aware AI deployment.
#Jedify
#Snowflake
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