Jedify raises $24M to help companies arm AI agents with context on their business

Overview

Jedify, a New York startup, raised $24 million in a Series A round led by Norwest to help companies feed AI agents context about their own operations. The round lifted total funding to about $33 million and brought Snowflake Ventures in as a strategic investor that is integrating Jedify into its AI products. The pitch is that enterprise agents stay weak until they understand a company's data, permissions, workflows, and internal terminology.

Key Takeaways

Jedify closed a $24 million Series A led by Norwest, with returning backers S Capital VC and Cerca Partners, new investor Oceans Ventures, and Snowflake Ventures as a strategic participant.
The company builds a context graph, a platform that connects to a business's data sources through APIs so AI agents reach the specific information a task needs.
Snowflake's role goes past funding: it is integrating Jedify with its Cortex AI service, Semantic Views, and CoWork products.
Jedify reports 10 to 20 early customers, including Kiteworks and The Weather Company, and targets gaming, industrials, and consumer packaged goods.
Total funding now sits near $33 million after an $8.5 million seed round in September 2023 led by S Capital VC.
CEO Assaf Henkin co-founded the company; Norwest partner Assaf Harel joins the board.

Stats & Key Facts

#$24 million Series A funding round led by Norwest.
#About $33 million in total funding raised to date.
#$8.5 million seed round closed in September 2023.
#10 to 20 early customers using the platform.
#Three target sectors named: gaming, industrials, and consumer packaged goods.
#Snowflake integration spans three of its AI products: Cortex AI, Semantic Views, and CoWork.

Norwest leads a $24 million Series A with Snowflake as strategic backer

The round mixes venture money with a strategic data-platform partner.

›Norwest led the round; partner Assaf Harel is joining Jedify's board of directors.
›Returning investors S Capital VC and Cerca Partners took part, alongside new backer Oceans Ventures.
›Snowflake Ventures came in as a strategic investor rather than a passive one.
›The raise brings cumulative funding to roughly $33 million for the New York company.

What a context graph does for enterprise AI agents

Jedify's core product is a layer that sits between company data and the agents that need it.

A context graph maps the relationships across a company's entities, data, people, permissions, and customers. Jedify's argument is that an AI agent stays generic and error-prone until it understands those connections, plus domain knowledge, workflows, operational assumptions, and company-specific terminology.

Instead of letting an agent search across everything a business stores, the graph narrows its attention to the information relevant to the task at hand. That focus is meant to make agent output more accurate and less likely to act on the wrong data.

The data sources Jedify connects to through APIs

The platform links to a wide spread of structured and unstructured systems.

›Databases and data warehouses, including Snowflake.
›SaaS applications and business intelligence tools such as Tableau.
›Documentation and notes tools like Notion, plus reports and code bases.
›Unstructured sources including Slack channels and meeting recordings.

Snowflake's integration signals where the technology fits

The strategic tie-up shapes how Jedify reaches large data-heavy customers.

Snowflake is folding Jedify's technology into three of its AI products: the Cortex AI service, Semantic Views, and CoWork. For a startup, having a major data platform embed your tooling is a distribution channel and a trust signal at once.

The arrangement points Jedify at mid-market and large enterprise customers with mature data stacks, the same buyers Snowflake already serves. It also reflects rising demand for ways to ground autonomous agents in governed, trustworthy business data rather than generic model knowledge.

Early customers and the sectors Jedify is chasing

The company is past the prototype stage with named logos.

›Jedify reports 10 to 20 early customers on the platform.
›Named customers include Kiteworks, a compliance company, and The Weather Company.
›Target sectors span gaming, industrials, and consumer packaged goods.
›The platform is model-agnostic and updates in real time as data flows through connected systems.

The founding team and what the money funds

Jedify's leadership brings prior data-platform experience.

Assaf Henkin is co-founder and CEO. He earlier built Kontera Technologies, a large-scale intelligence platform that processed social graph and mobile data and was acquired by Singtel in 2014. His co-founders are Adi Elimelech and Eric Shani.

The new capital is earmarked for product development, expanding the go-to-market effort, and growing the workforce. The seed stage came in September 2023 at $8.5 million, led by S Capital VC, which gives the founders a roughly two-and-a-half year track record before this Series A.

Why this funding matters for non-technical buyers

The story sits inside a broader shift toward enterprise agents that act on real company data.

For business leaders weighing AI agents, the recurring problem is that off-the-shelf models know the public internet but not your customers, your rules, or your jargon. Tools like Jedify aim to close that gap so an agent answers from your governed data instead of guessing.

The presence of a strategic investor like Snowflake suggests the data-platform vendors see context grounding as a missing layer worth owning. For buyers, the practical takeaway is that connecting agents to internal systems through a governed graph is becoming a defined product category rather than custom plumbing.

Frequently Asked Questions

What is a context graph in plain terms?

It is a map of how a company's data, people, permissions, and terminology relate to each other. Jedify uses it so an AI agent pulls the specific facts a task needs from your own systems instead of relying on generic model knowledge.

How much did Jedify raise and who led the round?

Jedify raised $24 million in a Series A led by Norwest. S Capital VC, Cerca Partners, Oceans Ventures, and Snowflake Ventures also took part, bringing total funding to about $33 million.

Why is Snowflake's involvement notable?

Snowflake invested as a strategic partner and is integrating Jedify's technology into its Cortex AI service, Semantic Views, and CoWork products. That gives Jedify distribution to Snowflake's enterprise customers and signals demand for grounding agents in governed data.

Who are Jedify's customers and target markets?

Jedify reports 10 to 20 early customers, including Kiteworks and The Weather Company. It targets mid-market and large enterprises with mature data stacks across gaming, industrials, and consumer packaged goods.

Who founded Jedify?

Assaf Henkin is co-founder and CEO, alongside co-founders Adi Elimelech and Eric Shani. Henkin previously built Kontera Technologies, which Singtel acquired in 2014.

Jedify's $24 million round positions context grounding as a distinct layer in the enterprise AI stack, with Snowflake's strategic backing pointing to where data platforms see autonomous agents heading next.