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Jedify raised a $24M Series A led by Norwest to connect company data and rules so AI agents can work with the right context and permissions.
In short: Jedify raised $24 million to help companies connect their internal information so AI agents can work with the right context and access rules.
New York based startup Jedify announced a $24 million Series A funding round. The round was led by Norwest, with participation from S Capital VC, Cerca Partners, and Oceans Ventures. Snowflake Ventures also invested as a strategic investor.
Jedify says many AI agents, meaning software that can take actions for you, struggle inside real companies because they do not understand how that company works. For example, they may not know what “revenue” means in that business, or who is allowed to open a specific file.
To address this, Jedify connects to a company’s existing tools and data through APIs (simple connectors between software tools). It then builds a “context graph,” which is like a map of how a company’s people, documents, data, and processes relate to each other. Jedify says this helps an AI agent look in the right places instead of searching across everything.
Jedify also emphasizes permissions. In plain terms, it aims to follow the same access rules the company already uses, so an AI agent does not accidentally show sensitive information to the wrong person.
More companies want AI helpers at work, but they often get stuck on a basic issue, the AI does not know the company’s internal language and rules. Tools like Jedify are trying to make AI more useful while lowering the risk of data leaks, which can affect employees, customers, and business decisions.
Source: TechCrunch AI