JedifyNot yet claimed

About Jedify

Jedify is a New York-based enterprise AI infrastructure company addressing a practical problem: an AI agent dropped into a company does not know what that company means by revenue, who may see which file, or how a workflow is supposed to run. Jedify connects to an enterprise’s knowledge sources through APIs — databases, data warehouses and lakes, SaaS applications and BI tools, plus unstructured material such as reports, documentation, code bases, internal chat channels and meeting recordings — and builds what it calls a context graph: the relationships between entities, data, permissions, domain knowledge, workflows, operational assumptions and company-specific terminology.

The graph is model-agnostic and updates in real time as information flows through connected systems, letting an agent narrow its attention to task-relevant context instead of searching everything. Permissions are inherited from identity systems, file systems, SaaS tools and databases, down to row-, column- and table-level rules, with observability and governance tooling on top. Jedify targets mid-market and large enterprises with mature data stacks; it reported between 10 and 20 early customers in June 2026, including a compliance software company that connected its warehouse, BI tool and internal playbooks to power seller-facing applications, and a major weather information company. A large US data platform company is both an investor and an integration partner, embedding Jedify’s technology alongside its own AI services.

Products & services

• Context graph (Semantic Fusion) — a typed graph of business entities, relationships, definitions and terminology built from connected enterprise sources.
• API connectors — ingestion from databases, warehouses, lakes, SaaS apps, BI tools, documents, code bases, chat channels and meeting recordings.
• Permissions inheritance — access rules inherited from identity, file, SaaS and database systems, including row-, column- and table-level controls.
• Governance and observability — tooling to monitor and govern how agents use enterprise context.

Why Jedify is listed: Context is the layer every enterprise agent deployment in North America currently has to rebuild by hand; a vendor whose product is that layer — already integrated with a major data platform’s AI stack — is directly relevant to the platform partners and enterprise buyers this directory reaches.

How AI assistants describe Jedify today

Questions partners ask

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Last verified	31 October 2026 — facts on this profile were checked against the sources listed below. Profiles are re-checked on a published 90-day cycle; this date is never quietly refreshed.

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3 questions to ask this company

1. Permissions are inherited from source systems — when two systems disagree about who may see a record, which rule wins, and is that logged?
2. The graph updates in real time — what does that cost in compute on a large warehouse, and who pays for it?
3. A strategic investor is also building adjacent context features — what does the partnership cover, and what happens to integrations if it ships a competing layer?

Sources & verification

• https://techcrunch.com/2026/06/10/jedify-raises-24m-to-help-companies-arm-ai-agents-with-context-on-their-business/ — Series A coverage, Jun 2026 (product, permissions, customers, total funding). Checked 31 Oct 2026.
• https://jedify.com/ — company site (Semantic Fusion platform description). Checked 31 Oct 2026.

Facts last verified: 31 October 2026. Something wrong? A listed company can request a correction or removal at any time; verified requests are actioned.

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Country guides: GlobleMatch’s country guides do not cover United States yet; when a guide is published, it will list the companies from United States in this directory.