Jedify

Jedify helps customer success teams predict customer needs.

Jedify’s AI agents build and maintain semantic models, including metrics and relationships.

The company turns data into business context for AI agents.

Jedify connects campaign performance to revenue.

A context graph for AI agents resolves ambiguous terms, spans unstructured data, and prevents hallucinations that semantic layers can't fix.

Data blending, ETL/ELT integration, and semantic fusion address different problems.

The page discusses when to use RAG and MCP, where governance matters, and how context improves enterprise AI workflows with Jedify.

Direct MCP gives agents raw schema, while Jedify’s Contextual MCP Server delivers pre-resolved business logic.

The company’s mission is to enable enterprises to build AI applications that understand.

Jedify fuses business context with multi-source data into a context layer that powers enterprise-grade AI applications – grounded, scalable, and efficient

Anthropic files for an IPO, listing risks like heavy reliance on computing power, uncertain customer spending, and existential threats. The company depends on SpaceX for a significant portion of its compute needs. Meanwhile, Meta plans to issue $95 billion in stock for AI infrastructure, while cloud providers like Google, Microsoft, and Amazon face investor concerns over spending and market saturation. Analysts warn of potential AI neocloud failures as credit dries up, despite ongoing massive investments in AI infrastructure.

Oct 2026SiliconANGLENews article

Enterprise artificial intelligence context startup Jedify Inc. today formally launched Data Agents, a product that lets business teams set up autonomous AI analysts by describing the work they want done in plain language. Data Agents takes on a longstanding limit of business intelligence software, w

Oct 2026SiliconANGLENews article

Israeli-founded Jedify raises a $24 million Series A from Norwest and Snowflake Ventures to build a live context graph for enterprise AI. The company is developing the graph across fragmented enterprise data to support agentic workflows.

Jun 2026CTechNews article

Jedify raises $24 million in a Series A led by Norwest to build a context graph that helps enterprise AI agents use company-specific information. Its platform connects to structured and unstructured business sources, maps relationships and permissions, and updates in real time; Snowflake participates as a strategic investor and integrates Jedify’s technology with its AI products. The company has 10 to 20 early customers, including The Weather Company, and plans to use the funding for product development, hiring, and go-to-market efforts.

Jun 2026TechCrunchNews article