Matia Platform Unifies Data Operations: Israeli Startup Combines ETL, Data Catalog and Observability Tools

Israeli data operations startup Matia says it brings ingestion, reverse ETL, observability and catalog capabilities into one platform. The firm raised $10.5 million in seed funding, led by Leaders Fund & Secret Chord Ventures.

Reverse ETL (Extract, Transform, Load) is a process that involves moving data from a data warehouse to operational systems like CRMs, marketing automation platforms, and other business applications. It’s essentially the opposite of traditional ETL, which moves data from source systems into a data warehouse.

Matia was co-founded in 2023 by brothers Benjamin Segal and Geva Segal, who both felt the pain of working with dispersed and unreliable data in previous roles; Benjamin as chief of staff and head of data at Pangaea, a $100M+ revenue CPG company, and Geva as a cybersecurity engineering leader at Synamedia, a global media company.

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Matia declares the firm is on a mission to redefine how businesses interact with data. According to a survey from Enterprise Strategy Group, nearly half their respondents reported using 26 or more vendors to execute a DataOps strategy. With the exponential growth of AI, companies face significant challenges in moving, managing and leveraging their data assets effectively and are challenged to do so with too many vendors and silos in their data stack. Matia’s platform provides an integrated solution that unifies the data lifecycle, from ingestion to activation, to cataloging the data so users can leverage it while detecting abnormalities and increasing reliability.

“We heard from data leaders that they are tired of having to deal with so many vendors to build their data stack. They want a reliable, all-in-one platform to manage their data operations. We’ve evaluated a number of players in the space, and Matia was the clear winner,” said Gideon Hayden, Co-Founder & Managing Partner at Leaders Fund. “We see Matia as not only an essential part of every team’s tech stack, but a category defining product.”