Matia has secured $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, VelocityX, and notable angels including Karim Atiyeh (Ramp), Udi Mokady (CyberArk), Amiram Shachar (Upwind), Alex Pham (Toyota), Raffi Kesten, and Abe Peled. The round brings Matia’s total funding to more than $31 million and will fuel product development and go-to-market acceleration amid rising demand for unified, AI-native data infrastructure.
Data engineering is evolving rapidly as AI and production systems demand trusted, real-time, and contextual data pipelines. Fragmented tools create operational silos, increase complexity, and hinder reliability at scale. Matia addresses this by unifying core functions—ingestion, observability, cataloging, and activation—into one platform designed for developer-friendly operations, system-wide visibility, and AI readiness.
Matia’s single-system approach replaces disjointed point solutions with integrated ingestion, monitoring, metadata management, and reverse ETL. This delivers operational clarity, reduces maintenance overhead, and ensures teams have consistent context across the data lifecycle—critical for AI-driven products and production reliability.
Since its early traction, Matia has achieved more than 10x growth, with leading companies consolidating their data stack onto the platform. Customers benefit from streamlined workflows, lower costs, and the confidence to scale data operations without proportional increases in complexity or tooling.
“At our scale, data reliability matters as much as application reliability,” said Ofir Ventura, Data & ML Manager at Lemonade. “Matia has helped our teams streamline how we move and operate data by providing a single platform we can run day to day as our data needs continue to grow.”
“Matia isn’t just improving the data stack—they’re redefining it,” said Danielle Ardon Baratz, Partner at Red Dot Capital Partners. “Matia stands out by consolidating critical data functions into a single platform that actually 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.”
“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.”
“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.”
Matia is developing an AI data engineer to autonomously manage pipeline creation, anomaly detection, and impact analysis, empowering teams of any size to operate data systems with production-grade confidence.
About Matia
Matia is a unified data operations platform designed to bring AI-powered automation to data teams. By integrating ingestion, reverse ETL, observability, and catalog in one platform, Matia eliminates fragmentation and delivers the data-quality foundation needed for agentic data engineering. Matia is backed by Red Dot Capital Partners, Leaders Fund, Secret Chord Ventures, Caffeinated Capital, and Cerca Partners, the prominent founders fund whose active founders include Assaf Rapport (Wiz), Dan Adika (WalkMe), Ronni Zehavi (Hibob), and more. Matia is trusted by data teams at companies such as Ramp, Drata, HoneyBook, and Lemonade.
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