Matia, a unified data operations platform, said Tuesday it has raised $21 million in Series A funding led by Red Dot Capital Partners, with participation from existing investors Leaders Fund, Secret Chord Ventures, Cerca Partners, Caffeinated Capital and VelocityX.
Notable angel investors in the round included Karim Atiyeh of Ramp, Udi Mokady of CyberArk, Amiram Shachar of Upwind, Alex Pham of Toyota, as well as Raffi Kesten and Abe Peled.
The new funding brings Matia’s total capital raised to more than $31 million. The company said the proceeds will be used to accelerate product development and expand go-to-market efforts amid growing demand for unified, AI-native data infrastructure.
Matia is developing a single platform designed to operate data pipelines at scale. As companies increasingly rely on data to power production systems and artificial intelligence-driven products, engineering teams are reassessing how pipelines are built, monitored and maintained.
The company’s platform integrates data ingestion, observability, cataloging and reverse ETL — a process that syncs data back into operational systems — into one system intended to improve reliability and operational visibility.
“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, Matia’s co-founder and chief executive. “Matia delivers an AI-ready data layer in one unified platform, replacing fragmented point solutions that lack context.”
Matia said it has grown more than tenfold over the past year as customers adopted its platform to streamline data operations and reduce overhead. Companies including Ramp, Drata, HoneyBook and Lemonade use Matia’s platform to manage their data operations.
“We’re seeing a clear shift in how teams think about data infrastructure,” Segal said. “As companies scale, they want fewer tools, more shared context and systems that hold up under real production demands.”
Customers that have consolidated multiple data tools onto Matia’s platform have reported up to a 78% lower total cost of ownership compared with maintaining separate ingestion, observability and activation systems, the company said.
Danielle Ardon Baratz, a partner at Red Dot Capital Partners, said Matia is redefining the data stack by consolidating critical functions into a single platform that reduces operational overhead.
“The speed of their 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,” she said.
Ofir Ventura, data and machine learning manager at Lemonade, said the platform has helped streamline how the company moves and operates data as its needs grow.
Building on its platform, Matia said it is developing an AI data engineer designed to autonomously manage tasks such as pipeline creation, anomaly detection and impact analysis. The company said the goal is to enable teams of varying sizes and experience levels to operate data systems with the reliability expected of modern production infrastructure.
Matia describes itself as a unified data operations platform that integrates ingestion, reverse ETL, observability and catalog capabilities into a single system aimed at reducing fragmentation and improving data quality for AI-driven applications.