Jedify Raises $24M in Series A Funding Led by Norwest

The round also saw participation from Snowflake Ventures and existing investors S Capital VC and Cerca Partners, as well as new investor Oceans Ventures. Assaf Harel, Partner at Norwest, will join the board of directors.

Jedify previously raised an $8.5 million seed funding round in September 2023, led by S Capital VC with participation from Cerca Partners, bringing its total funding to more than $33 million.

The company plans to use the new funding to accelerate product development, expand its go-to-market efforts, and grow its workforce to support continued growth.

Jedify's platform automatically creates a customer-specific context graph using its patent-pending Semantic Fusion™ technology. It works on top of a company's existing data and knowledge systems, helping organizations organize and connect information from across the business.

The platform combines structured data from sources such as data warehouses, CRM systems, financial platforms, and business intelligence tools with unstructured information like documents, playbooks, Slack conversations and meeting recordings. This creates a continuously updated, AI ready model that provides a deeper understanding of how the business operates.

Jedify's context graph captures important business information such as metric definitions, relationships between data, permissions, business rules, operational processes, and industry-specific terminology. This gives AI agents the context they need to provide more accurate and reliable answers.

Unlike traditional business intelligence and data management tools that rely on static datasets, Jedify's platform allows AI to understand connections across large amounts of information and focus only on the most relevant data. This improves response quality, reduces errors, and hallucinations and minimizes unnecessary AI processing. The platform is also model agnostic, allowing companies to use their preferred AI providers without being tied to a single vendor.

“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, including Semantic Views, Cortex Analyst, and Snowflake CoWork, help customers operationalize trusted business semantics directly within Snowflake, accelerating the adoption of enterprise AI and agentic applications at scale.”

"Jedify is solving a foundational problem by autonomously fusing structured and unstructured data into a context graph that gets smarter with every interaction,” said Assaf Harel, partner at Norwest. “Its compounding value and model-agnostic approach give enterprises flexibility rather than lock-in, which is exactly the kind of durable infrastructure layer we look for. We're excited to partner with the Jedify team as they enable enterprises to generate actual value from their proprietary data continuously."

"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, co-founder and CEO of Jedify. "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."

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“Enterprise AI agents can’t reason accurately from stitched-together connectors and warehouses alone,” said Matthew Drooker, CTO of The Weather Company. “Jedify’s context graphs give our agents and analysts the business context they need to operate at Weather Company scale, providing the missing infrastructure for agentic workflows, and a faster path to answers for our teams.”

About Jedify

Founded in 2023 by Adi Elimelech, Erik Shani, and Assaf Henkin, Jedify provides an autonomous context graph platform for enterprise AI applications and workflows. The platform automatically connects structured business data from systems such as data warehouses, CRMs, and financial platforms with unstructured information including documents, playbooks, Slack conversations and meeting recordings. Using it's proprietary Semantic Fusion™ technology, Jedify creates a unified, continuously updated context graph that help's AI systems better understand and operate within an organization.

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