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Matia has raised $21 million in a Series A round led by Red Dot Capital, bringing its total funding to more than $31 million.
Existing investors participated, including Leaders Fund, Secret Chord Ventures, Cerca Partners, Caffeinated Capital, and VelocityX. Matia also listed individual backers including Karim Atiyeh of Ramp, Udi Mokady of CyberArk, Amiram Schchar of Upwind, Alex Pham of Toyota, Raffi Kesten, and Abe Peled.
Matia sells a data pipeline operations platform that combines data ingestion, observability, cataloging, and reverse ETL in one system. It targets engineering teams that treat data pipelines as production infrastructure rather than analytics tooling.
Customers cited include Ramp, Lemonade, Drata, Recharge, and HoneyBook, which Matia says rely on the platform for data operations.
Market consolidation
The funding comes amid renewed focus on consolidation in data tooling. Vendors have been combining products across areas such as ingestion, monitoring, and cataloging. Matia argues much of the market has pursued consolidation through acquisitions and the integration of separate systems, which can increase complexity for engineering teams.
Matia says it built its platform as a single system from the start, rather than integrating separate point tools. It cites a single execution model, a shared metadata graph, and a unified control plane as core elements of its architecture.
Matia also describes an approach it calls "shifting observability left," emphasizing fixing issues closer to the source of data pipelines instead of relying on downstream monitoring alone.
Product direction
Matia is developing an "AI data engineer" product, which it describes as software that autonomously handles tasks such as pipeline creation, anomaly detection, and impact analysis.
Co-founder and CEO Benjamin Segal said data teams are adapting their tooling for broader use in production systems and AI products.
"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 Segal.
Segal also linked Matia's pitch to reducing the number of tools used by data teams.
"We're seeing a clear shift in how teams think about data infrastructure," he said. "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."
Customer claims
Matia says it has grown more than 10 times over the past year, but did not provide revenue figures or customer counts.
It also reports cost savings among customers that replace multiple tools with its platform. According to Matia, customers that consolidate ingestion, observability, and activation systems onto its platform report up to 78% lower total cost of ownership than maintaining separate products.
Red Dot Capital said Matia stands out for bundling multiple functions into one platform.
"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."
A Lemonade executive pointed to rising reliability requirements as data becomes more central to software products.
"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 said it will use the new funding for product development and go-to-market efforts as it expands its platform and builds its planned AI data engineer.