Jedify has secured $24 million in Series A funding to advance its platform that equips AI agents with detailed, real-time understanding of enterprise-specific data, relationships, and permissions. This enables AI to perform more intelligently within complex business environments.
- Jedify’s platform creates real-time context graphs from enterprise data and documents.
- Series A led by Norwest with Snowflake Ventures as strategic investor.
- Supports secure, permission-aware AI interactions for various industries.
What happened
New York-based startup Jedify announced a $24 million Series A funding round led by Norwest, with participation from returning investors S Capital VC and Cerca Partners, as well as new backer Oceans Ventures. Strategic investor Snowflake Ventures also joined, signaling collaboration on AI integrations with products like Snowflake’s Cortex AI service.
Jedify’s platform connects to diverse sources including databases, data warehouses, SaaS tools, and unstructured data such as documents and meeting transcripts. It builds a multi-dimensional context graph that AI agents can use to better understand business-specific terms, internal workflows, permissions, and relationships, enabling more precise and relevant AI-driven interactions.
Why it matters
AI agents deployed in enterprises often face challenges adapting to the complexity and idiosyncrasies of individual companies. Without proper context on how data relates and what information is accessible to whom, AI tools risk being ineffective or exposing sensitive data improperly.
Jedify’s solution addresses these challenges by dynamically updating a context graph that captures not only data entities but also permissions and operational assumptions. This approach offers a significant advantage over traditional semantic layers or metadata catalogs, facilitating safer and more relevant AI applications tailored to specific organizational environments.
What to watch next
Jedify is currently engaging customers primarily in mid-market and large enterprises across industries such as gaming, industrials, and consumer packaged goods. Early adopters include The Weather Company and compliance firm Kiteworks, which uses Jedify for advanced AI-powered customer support workflows.
The partnership with Snowflake suggests further integration opportunities in major data platforms, potentially making Jedify’s context graph technology a foundational layer for AI initiatives in enterprises with mature data stacks. Observing how Jedify scales its platform and broadens industry adoption will be key indicators of its impact on enterprise AI deployment.