Jedify (https://jedify.com/), a Tel Aviv-based provider of autonomous context graphs for enterprise AI agents, has raised $24M in Series A funding led by Norwest Venture Partners. The company’s Semantic Fusion technology builds live, customer-specific context graphs by connecting structured operational data with unstructured knowledge sources like documents and Slack. The round brings strategic participation from Snowflake Ventures alongside S Capital, Cerca Partners, and Oceans Ventures.
Context Graphs Emerge as AI Agent Foundation
The funding arrives as enterprises recognize context graphs as critical infrastructure for reliable AI agents. The agentic AI semantic layer and knowledge graph market is valued at $1.07B in 2026, projected to reach $3.21B by 2030 at a 24.57% CAGR. Jedify’s model-agnostic approach, which inherits permissions from existing identity systems, differentiates it from broader ontology platforms by focusing on real-time business context for agentic workflows.
Context Drift Blocks Production AI Agents
Enterprise AI agents often fail when they lack institutional knowledge beyond raw data retrieval. Research links 65% of agent failures to context drift, with more than 40% of agentic AI projects expected to be abandoned by 2027. Jedify addresses this by continuously updating context graphs from connected systems, reducing hallucinations while cutting token usage.
Semantic Fusion Delivers Institutional Memory
Jedify’s platform creates a persistent, queryable layer that captures canonical tables, historical schema decisions, Slack business rules, and known anomalies. Unlike semantic layers built for human analysts, context graphs support autonomous reasoning loops with full governance. Early customers including The Weather Company and Kiteworks use it to power conversational tools for sales teams without building custom infrastructure.
"Enterprise data is fragmented across systems, definitions, permissions, and workflows." — Assaf Henkin, CEO
Norwest and Snowflake Validate Context Layer Thesis
Norwest Venture Partners led the round, drawing on its enterprise software and AI track record with companies like Databricks and UiPath. Snowflake Ventures’ participation provides direct ecosystem validation, as Jedify integrates natively with Snowflake while keeping data in place. The investor mix signals strong conviction in independent context infrastructure over vendor-tied solutions.
Agentic AI Market Accelerates Context Demand
The $1.07B market for agentic AI in semantic layers and knowledge graphs is expanding rapidly as companies move from pilots to production. Gartner forecasts that more than 50% of AI agent systems will leverage context graphs by 2028. Jedify positions itself ahead of this shift with its focus on governed, multi-source fusion for complex enterprise environments in tech, finance, and media.
Assaf Henkin on Context for Sellers
"They wanted to arm their sellers and account teams with a sophisticated app… Jedify builds for them, on the fly, everything they need to know."
The company is hiring senior account executives and partnership roles as it scales go-to-market efforts following the round.