The Israeli start-up Matia announced on Tuesday that it raised $21 million in a Series A funding round led by Red Dot Capital, bringing its total capital raised to $31 million.

The start-up is currently developing a unified platform for operating data pipelines at scale, and will use the new funding to accelerate product development and go-to-market efforts as demand surges for unified, AI-native data infrastructure.

“Matia’s platform brings data ingestion, observability, cataloging, and reverse ETL together in a single system designed for reliability and operational clarity,” said the company in a statement.

Alongside Red Dot Capital, the funding round had existing investors like Leaders Fund, Secret Chord Ventures, Cerca Partners, Caffeinated Capital, and VelocityX, with several angel investors, including Karim Atiyeh (Ramp), Udi Mokady (Cyaberark), Amiram Schchar (Upwind), Alex Pham (Toyota), Raffi Kesten, and Abe Peled.

“Data engineering is entering an AI-native era, but AI depends on trusted data, system-wide context, and a developer experience teams can actually work with,” said Benjamin Segal, Co-founder and CEO of Matia. “Matia delivers an AI-ready data layer in one unified platform, replacing fragmented point solutions that lack context.”

Personal data source code (Illustrative)
Personal data source code (Illustrative) (credit: PIXABAY)

Start-up shows ten times growth in last year

According to their data, the company has grown exponentially over the last year, with ten times as many customers adopting its platform in 2025. “Today, companies including Ramp, Drata, HoneyBook, and Lemonade rely on Matia to run their data operations,” the statement said.

“We’re seeing a clear shift in how teams think about data infrastructure,” Segal added. “As companies scale, they want fewer tools, more shared context, and systems that hold up under real production demands. That’s what’s driving our growth and why customers are standardizing on Matia.”

An internal report by Matia found that customers consolidating multiple data tools reduced their total cost of ownership by 78% compared with maintaining separate ingestion, observability, and activation systems.

Danielle Ardon Baratz, Partner at Red Dot Capital Partners, said, "The speed of their [Matia] growth and the caliber of their customers show they’ve hit real product-market-fit, and we’re excited to support them as they bring AI-driven automation to data operations."

The company assured that its goal with this new investment is to help teams of any size and experience level operate data systems with the same confidence and reliability expected of modern production infrastructure.