The archive · AI & Models · Strategic decision · 2023-2026
Jedify raises $24M to give AI agents a live context graph of the business
Enterprise AI keeps tripping over data it cannot see; Jedify's bet is a model-agnostic context graph, backed by Norwest and Snowflake.
Jedify
What the business is
Jedify, founded in 2023 by CEO Assaf Henkin, CTO Adi Elimelech and CPO Erik Shani, connects an enterprise's knowledge sources through APIs and assembles a context graph of the business: definitions, entity relationships, permissions, workflows, operational assumptions and company-specific terminology. Sources include databases, data warehouses and lakes, SaaS apps, BI tools, reports, documentation, code bases, Slack channels and meeting recordings. AI agents use the graph to narrow their attention to relevant data instead of searching everything. The platform inherits access rules from identity, file, SaaS and database systems, including row-, column- and table-level permissions, updates in real time as data flows, is model-agnostic, and includes observability and governance tooling. The company is New York-based with 35 employees and targets mid-market and large enterprises with mature data stacks.
Starting capital：Series A of $24M (2026-06-10) led by Norwest, with S Capital VC and Cerca Partners returning, Oceans Ventures new, and Snowflake as strategic investor; brings total funding to about $33M after an $8.5M seed in September 2023
How it started
Jedify was founded in 2023 by Assaf Henkin, Adi Elimelech and Erik Shani, who watched enterprise AI deployments stall beyond prototypes because models lacked reliable business context at runtime: how the company defines revenue, who may see which file, which workflows and assumptions apply. The founders' answer was to treat context as infrastructure, not a model trick, and they raised an $8.5 million seed in September 2023 to build it.
What happened
By 2026 Jedify had a platform connecting structured sources such as warehouses, CRMs, financial systems and BI tools with unstructured ones such as documents, Slack and meeting recordings, and it had 10-20 customers including The Weather Company and Kiteworks. On 10 June 2026 TechCrunch exclusively reported a $24 million Series A led by Norwest; Norwest partner Assaf Harel joined the board. Snowflake invested strategically and is integrating Jedify with Cortex AI, Semantic Views and CoWork, an endorsement that cuts both ways, since Snowflake and other data platforms are also trying to build context capabilities themselves.
How it ended up
As of early September 2026 Jedify is live with early customers and using the Series A for product development, hiring and go-to-market. The bet is that enterprises will standardize on a neutral context layer between their data systems and whichever models they use, rather than letting a single AI or data vendor own that position. The open question is whether context graphs become a durable infrastructure category or a feature that the large platforms absorb, and whether 10-20 lighthouse customers can convert into the mid-market and enterprise pipeline Jedify is targeting.
Background
Jedify is a New York-based enterprise AI infrastructure company, Israeli-founded in 2023 by Assaf Henkin, Adi Elimelech and Erik Shani. Its platform connects a company's knowledge sources, from warehouses, CRMs and BI tools to documents, code, Slack and meeting recordings, and assembles a live context graph of definitions, entity relationships, permissions, workflows and company terminology that AI agents query instead of searching everything.
The company's argument is that enterprise AI fails not for lack of model capability but for lack of business context at runtime. Jedify is model-agnostic, inherits access rules down to row, column and table level from identity, file, SaaS and database systems, updates in real time, and includes observability and governance tooling, positioning itself as a neutral layer between enterprise data and AI applications.
TechCrunch reported on 10 June 2026 that Jedify raised a $24 million Series A led by Norwest, with S Capital VC and Cerca Partners returning, Oceans Ventures joining, and Snowflake investing strategically and integrating with Cortex AI, Semantic Views and CoWork. The round brought total funding to about $33 million after an $8.5 million seed in September 2023, and the company employs 35 people with 10-20 early customers including The Weather Company.
The strategic bet is that proprietary context, not the model, becomes the durable moat as models commoditize. Henkin argues most institutional knowledge sits outside any single data platform, so large vendors building context capabilities start at a disadvantage, and that in-house alternatives are cost-prohibitive. Kiteworks, a compliance company, connected Snowflake, Tableau, Notion and internal playbooks to Jedify to arm sellers and account teams with real-time agentic briefing tools.
What has to be true
- A context graph captures relationships across entities, data, people, permissions and customers, which semantic layers and metadata catalogs do not, and it updates in real time as data flows.
- Permission inheritance from identity, file, SaaS and database systems answers the governance question blocking agents from touching sensitive data, making compliance a feature instead of a stop.
- Staying model-agnostic means customers can switch model vendors without rebuilding context, and it positions Jedify against the cloud platforms that want to own the whole stack.
- The counter-risk is that Snowflake and other data platforms are building similar capabilities themselves, so Jedify's strategic investor is also a potential competitor.
What can be applied
When models become interchangeable, own the layer that makes them useful inside a customer's business, and stay neutral so no single AI vendor can take that layer away.
Aftermath
As of 2026-09-05 Jedify has banked a $24 million Series A led by Norwest (announced 10 June 2026), with Snowflake investing strategically and integrating with Cortex AI, Semantic Views and CoWork; total funding is about $33 million. It is live with 10-20 early customers, including The Weather Company, employs 35 people, and plans to spend the round on product development, hiring and go-to-market. The open question is whether the context-graph layer survives as an independent category or becomes a feature the large data platforms fold into their own products.
Sources
- Jedify raises $24M to help companies arm AI agents with context on their business
- Jedify raises $24 million Series A to build context layer for enterprise AI
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