Observed Signal · Jun 10, 2026 · Funding · Source: techcrunch · Impact: 3/5 · Sentiment: Positive
Jedify raises $24M to build AI context graphs
Jedify, a New York-based startup, raised $24 million in a Series A round led by Norwest to build a platform that connects enterprise knowledge sources into a real-time "context graph" for AI agents. The platform ingests structured and unstructured sources (databases, warehouses, SaaS tools, Slack, meeting recordings) and inherits permissions from identity and data systems to govern agent access. Snowflake participated as a strategic investor and will integrate Jedify’s technology with products such as Cortex, Semantic Views, and CoWork. Jedify said it has 10–20 early customers including The Weather Company and will use the funds for product, hiring, and go-to-market expansion.
The funding and Snowflake strategic partnership highlight a growing market for enterprise context layers that enable AI agents to operate on business data securely — relevant to MarTech/AdTech teams adopting agentic workflows and enterprise AI integrations.
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Key Takeaways & Evidence Grounding
- Jedify raised $24 million in a Series A funding round led by Norwest.
- Snowflake participated as a strategic investor and will integrate Jedify’s technology with its Cortex AI service, Semantic Views, and CoWork.
- Other investors include returning backers S Capital VC and Cerca Partners, and new investor Oceans Ventures.
- Jedify builds a multi-dimensional "context graph" that connects enterprise knowledge sources (databases, warehouses, SaaS apps, BI tools, unstructured docs, Slack, meeting recordings) for AI agents.
- Jedify has between 10 and 20 early customers, including The Weather Company, and its total funding is about $33 million.
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Nimble Way Secures $47M for Real-Time AI Data Access
Nimble, a New York startup that uses AI agents to search the web in real time, validate results and structure them into queryable tables, raised $47 million in a Series B round led by Norwest. The company integrates its platform with enterprise data warehouses and lakes including Databricks and Snowflake and has partnerships with AWS and Microsoft; Databricks also participated in the round. Nimble says it serves more than 100 customers — mostly large enterprises, Fortune 500 and some Fortune 10 firms — and will use proceeds to expand R&D in multi-agent web search and a governed data layer. The startup has now raised a total of $75 million.
Snowflake Expands Intelligence and Cortex Code
Snowflake announced major updates to Snowflake Intelligence and Cortex Code to position its platform as the control plane for the agentic enterprise. Snowflake Intelligence is extended as a personalized, context-aware work agent for business users with features such as natural-language 'Skills', Model Context Protocol (MCP) connectors to enterprise tools, an iOS mobile app (public preview), multi-step 'deep research' reports, personalization, and reusable 'Artifacts'. Cortex Code is expanded as a builder layer with broader data-system support (AWS Glue, Databricks, Postgres), integrations to other AI systems via MCP and Agent Communication Protocol (ACP), a VS Code extension (private preview), a Claude Code plugin, an Agent SDK (Python and TypeScript), and Cloud Agents in Snowsight (private preview). Snowflake cites more than 9,100 weekly users of its AI products and customers including Capita, Logitech, Telenav, United Rentals and Wolfspeed moving AI into production on its governed data platform.
Flexor Integrates ACE into Snowflake AI Data Cloud
Flexor announced at Snowflake Summit 2026 a native integration between its AI Context Engine (ACE) and the Snowflake AI Data Cloud. The integration enables enterprises to transform unstructured sources — emails, calls, notes, documents, support tickets and agent chats — into structured, AI-ready context inside Snowflake, supporting trusted agentic AI and analytics workflows. Flexor says ACE normalizes and enriches unstructured inputs, provides relationship and business-domain context, and preserves security, governance, explainability and lineage within Snowflake. Snowflake and Flexor position the integration as allowing joint customers to use unstructured enterprise data for AI without moving it outside their secure Snowflake environment.
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