Jedify, a company that develops context graphs for enterprise artificial intelligence applications, announced Wednesday that it has raised $24 million in Series A funding led by Norwest, with a strategic investment from Snowflake Ventures.
Existing investors S Capital VC and Cerca Partners also participated in the round, along with new investor Oceans Ventures. The company previously raised an $8.5 million seed round in September 2023, bringing total funding to more than $33 million. Assaf Harel, a partner at Norwest, will join Jedify's board of directors.
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Photo (left to right): Assaf Henkin, CEO; Erik Shani, CPO; Adi Elimelech, CTO
(Photo: Studio Thomas)
The company said the new funding will support product development, expand go-to-market efforts and grow its workforce.
Jedify seeks to address what it describes as a major obstacle to enterprise AI adoption: providing AI agents with the business context needed to deliver accurate responses in production environments. According to the company, AI systems without sufficient runtime context can generate inaccurate information or consume excessive computing resources by processing irrelevant data.
"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, Jedify's co-founder and chief executive officer. "Enterprise data is fragmented across systems, definitions, permissions and workflows. Jedify turns that fragmented knowledge into a live context graph that agents can use to produce accurate, cost-efficient, business-ready answers."
The company said enterprises often store information across numerous software systems, including data warehouses, customer relationship management platforms, financial systems and unstructured sources such as documents, Slack conversations and meeting recordings. Integrating those sources into AI systems can be time-consuming and costly, it said.
Jedify said major AI companies, including OpenAI, Anthropic and Google, have expanded professional services offerings to help customers deploy AI systems, reflecting the challenges organizations face in implementing large language models. The company argued that relying on a single vendor for both AI models and data infrastructure can create concerns about flexibility and governance.
Jedify said its platform is model-agnostic and designed to provide AI systems with business context without requiring customers to commit to a single AI provider.
"Enterprise AI agents can't reason accurately from stitched-together connectors and warehouses alone," said Matthew Drooker, chief technology officer of The Weather Company. "Jedify's context graphs give our agents and analysts the business context they need to operate at Weather Company scale."
The company's platform uses what it calls Semantic Fusion technology to build customer-specific context graphs on top of existing data systems. The technology combines structured data from operational systems with unstructured information such as documents, playbooks and meeting recordings to create a continuously updated semantic model.
According to Jedify, the resulting context graph captures metric definitions, relationships among entities, permissions, business rules and industry-specific terminology, allowing AI agents to produce more consistent responses while reducing errors and unnecessary token usage.
Harel said the company's model-agnostic approach provides enterprises with flexibility and creates long-term value from proprietary data.
"Jedify is solving a foundational problem by autonomously fusing structured and unstructured data into a context graph that gets smarter with every interaction," Harel said.
Jedify is also collaborating with Snowflake to help customers integrate business context across data, analytics and AI workflows. The company said its platform integrates with Snowflake Cortex AI products, including Semantic Views, Cortex Analyst and Snowflake CoWork.
"Enterprises are increasingly looking for AI systems that can reason reliably across both structured and unstructured business contexts," said Harsha Kapre, head of Snowflake Ventures. "Jedify's Semantic Fusion technology and deep integration with Snowflake Cortex AI help customers operationalize trusted business semantics directly within Snowflake."
Jedify develops context graph technology for enterprise AI applications. The company said its platform connects structured operational data with unstructured knowledge sources to help organizations deploy AI agents while avoiding dependence on a single AI vendor.