Unified data operations startup Matia Inc. has raised $21 million in a Series A funding round to help enterprises better manage large-scale data pipelines.
The round was led by Red Dot Capital, with participation from existing investors including Leaders Fund, Secret Chord Ventures, Cerca Partners, Caffeinated Capital and VelocityX, along with several angel investors. With this round, Matia has raised more than $31 million to date.
Matia offers a unified DataOps platform built on Amazon Web Services. The platform combines multiple data tools into one system. It brings together data ingestion, reverse ETL, data observability and a data catalog into a single interface. This helps companies reduce the number of tools they manage and speed up data workflows.
The platform can replicate data in real time from over 100 sources, including databases and SaaS applications, into data warehouses such as Snowflake, Databricks and BigQuery. Its reverse ETL feature allows companies to send processed insights back into business tools used by sales, marketing and operations teams.
Matia also includes monitoring tools that track data quality and send alerts if pipelines fail or anomalies are detected. By identifying issues early, it helps prevent inaccurate data from spreading across systems.
The company says customers have reduced their total data management costs by an average of 78% after consolidating tools onto its platform in data center.
With the new funding, Matia plans to develop an AI-powered data engineer. This generative AI agent will automatically build data pipelines, detect anomalies and analyze the impact of changes. CEO Benjamin Segal said that as AI systems rely on trusted data, modern data engineering must evolve to support the AI era.
