Jedify, a New York-based enterprise AI data platform company, has closed a $24 million Series A funding round led by Norwest. The round brings the company’s total funding to $32.5 million, following a seed round raised in 2023, the year the company was founded.
S Capital VC, Cerca Partners, and Oceans Ventures also participated. Snowflake Ventures came in as a strategic backer, signaling that one of the largest cloud data platforms sees something worth betting on in Jedify’s approach to making enterprise data actually usable for AI systems.
What Jedify actually does
Jedify’s answer to the problem of fragmented enterprise data is what it calls Semantic Fusion technology. It creates a contextual data layer that stitches together structured data, unstructured data, and business knowledge into something AI systems can actually reason over. The goal is building a layer that understands what data means in context, so AI agents can operate with precision rather than hallucinating their way through ambiguous inputs.
The company’s leadership team includes CEO Assaf Henkin, CTO Adi Elimelech, and CPO Erik Shani, all of whom bring backgrounds in data platform development. With a lean team of roughly 18 to 35 employees, Jedify is operating with the kind of staffing ratio that suggests the $24 million is meant to fuel a significant scaling push.
