Jedify raises $24M to help companies arm AI agents with context on their business
Jedify, a New York startup, raised $24 million in a Series A round led by Norwest to help companies feed AI agents context about their own operations. The round lifted total funding to about $33 million and brought Snowflake Ventures in as a strategic investor that is integrating Jedify into its AI products. The pitch is that enterprise agents stay weak until they understand a company's data, permissions, workflows, and internal terminology.
Key Takeaways
- The funding round was led by Norwest, with participation from S Capital VC, Cerca Partners, and Oceans Ventures.
Snowflake Ventures also participated as a strategic investor.
- The company says its platform connects to enterprises' knowledge sources via APIs to build a "context graph" about their business that AI agents can use to work better.
These sources can be databases, data warehouses and lakes, SaaS apps, or BI tools, as well as unstructured sources such as reports, documentation, code bases, and even Slack channels and meeting recordings.
- This context, the company says, allows an AI agent to narrow its attention to the information that is relevant to a particular task instead of searching across everything a company has.
Co-founder and CEO Assaf Henkin (pictured above, on the far right) pointed to Kiteworks, a compliance company, as an example of how customers are using Jedify.
- Henkin argues that Jedify's context graph is different from the semantic layers, metadata catalogs, and knowledge graphs that companies already use because it is multi-dimensional, capturing relationships across entities, data, people, permissions, and customers.
It's also model-agnostic and updates in real time as information flows into and out of the systems it is connected to.
- It also offers observability and governance tools to help customers ensure their AI agents are behaving as intended.
Stats & Key Facts
- #Jedify, a New York startup, raised $24 million in a Series A round led by Norwest to help companies feed AI agents context about their own operations.
- #The round lifted total funding to about $33 million and brought Snowflake Ventures in as a strategic investor that is integrating Jedify into its AI products.
- #To build that out, Jedify has raised $24 million in a Series A funding round led by Norwest, TechCrunch has exclusively learned.
The funding round was led by Norwest, with participation from S Capital VC, Cerca Partners, and Oceans Ventures. Snowflake Ventures also participated as a strategic investor. AI vendors promote their enterprise products as if they're turnkey solutions, but the chances are low that AI agents will hit the ground running right away.
Unless you put in the effort to train a model on the specifics of your business, it's unlikely to understand how your company, for example, defines revenue or knows who is allowed to see which file. That's part of the reason why we're seeing AI companies deploying engineers to help integrate their AI products into customers' systems. New York-based startup Jedify is attacking this very gap.
The company says its platform connects to enterprises' knowledge sources via APIs to build a "context graph" about their business that AI agents can use to work better. These sources can be databases, data warehouses and lakes, SaaS apps, or BI tools, as well as unstructured sources such as reports, documentation, code bases, and even Slack channels and meeting recordings. To build that out, Jedify has raised $24 million in a Series A funding round led by Norwest, TechCrunch has exclusively learned.
For more details please read the original article at TechCrunch AI.
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