Jedify, a company providing an autonomous context graph for AI, has secured $24 million in a Series A funding round led by Norwest. With strategic participation from Snowflake Ventures, the investment brings Jedify's total capital to over $33 million. The funds will advance the company's mission to solve the critical context problem hindering enterprise AI adoption.
Addressing the Enterprise AI Context Gap
Many enterprise AI projects fail because they lack proper business context, causing AI agents to hallucinate or produce irrelevant results. Data is often fragmented across numerous systems, making it difficult for AI to understand complex business operations. This forces companies into slow, manual data integration efforts for each new AI workflow.
Jedify's platform is designed to resolve this by creating a live context graph that unifies this fragmented knowledge. "In order for an agentic workflow to really work well for an enterprise at scale, it needs a very deep understanding of that business," said Assaf Henkin, CEO of Jedify. This graph provides agents with the necessary understanding to produce accurate, business-ready answers.
A Model-Agnostic Solution
The company's platform uses its patent-pending Semantic Fusion™ technology to autonomously build a customer-specific context graph. It connects structured operational data from CRMs and warehouses with unstructured knowledge from documents and communication platforms. This creates a continuously updated semantic model that reflects how a business actually functions.
Unlike solutions from major model providers that can lead to vendor lock-in, Jedify offers a model-agnostic layer. This independence ensures enterprises can choose the best AI models for their needs without being tied to a single vendor's data infrastructure. The approach also avoids potential conflicts of interest where a provider might benefit from token-intensive processes.
Strategic Investment and Market Validation
The funding round, which includes new investors Oceans Ventures and existing partners S Capital VC and Cerca Partners, signals strong market confidence. As part of the investment, Assaf Harel, Partner at Norwest, will join Jedify's board. The capital will be used to accelerate product development and expand go-to-market operations.
"Jedify is solving a foundational problem by autonomously fusing structured and unstructured data into a context graph that gets smarter with every interaction," commented Harel. He emphasized that its compounding value and model-agnostic approach provide enterprises with crucial flexibility. This durable infrastructure layer was a key factor in Norwest's decision to lead the round.
The strategic investment from Snowflake Ventures highlights a key collaboration to help enterprises unify business context across their workflows. "Jedify’s Semantic Fusion technology and deep integration with Snowflake Cortex AI... help customers operationalize trusted business semantics directly within Snowflake," stated Harsha Kapre, Head of Snowflake Ventures. This partnership aims to accelerate the adoption of enterprise AI at scale.
With its new $24 million in funding, Jedify is poised to address a persistent challenge in the enterprise AI market. By providing a model-agnostic context layer, the company enables organizations to build more accurate and efficient AI agents. The strategic backing from industry leaders like Norwest and Snowflake Ventures validates its vision and sets the stage for significant growth.