Matia, a US-based DataOps startup, has raised $21 million in Series A funding to help enterprises consolidate and modernize their data management operations. The round was led by Red Dot Capital, with participation from Leaders Fund, Secret Chord Ventures, Cerca Partners, Caffeinated Capital, VelocityX, and several notable angel investors. This brings Matia’s total funding to over $31 million.
Matia’s platform aims to simplify the complex world of marketing and enterprise data infrastructure by bringing data ingestion, observability, cataloging, and activation into a single, unified interface. As companies look to support AI-driven initiatives, Matia is positioning itself as a key enabler for teams that want fewer tools, more context, and faster, more reliable data pipelines.
Short on time?
Here’s a quick look at what’s inside:
- Who is Matia, and why does this funding matter?
- How Matia’s unified data platform works
- What marketers and data teams can do with Matia
- Key shifts for data infrastructure in the AI era
Who is Matia, and why does this funding matter?
Matia is a unified DataOps platform built on AWS, designed to help enterprises manage all their data operations from a single dashboard. The company’s technology combines data extraction, reverse ETL, observability, and cataloging, reducing the need for multiple point solutions. With this approach, Matia claims customers have cut their total cost of ownership by up to 78%.
The $21 million Series A round signals strong investor confidence in Matia’s vision. The company has seen rapid growth, with revenue increasing more than tenfold in the past year and a customer base that includes Ramp, Drata, HoneyBook, and Lemonade Insurance.
Patrecia Meliana
How Matia’s unified data platform works
Matia’s platform connects to over 100 data sources, including databases, SaaS platforms, and APIs, and replicates data in real time to major data warehouses like Snowflake, Databricks, and BigQuery. Its reverse ETL feature allows teams to push insights from the warehouse back into operational tools, making data actionable for business users.
Key features include:
- Real-time data replication: Keep data up to date across systems with parallel sync, reducing pipeline times.
- Data observability: Monitor data quality and receive alerts for pipeline issues or anomalies.
- Unified interface: Manage ingestion, monitoring, and cataloging from a single dashboard.
- AI-powered automation (in development): Matia is building an AI agent to automate pipeline creation, anomaly detection, and impact analysis.
What marketers and data teams can do with Matia
For marketers and data teams, Matia offers:
- Simplified data operations: Replace multiple tools with one platform for easier management and lower costs.
- Faster campaign activation: Move insights from data warehouses directly into marketing and sales tools.
- Improved data quality: Catch errors early and prevent bad data from affecting campaigns or analytics.
- AI-ready infrastructure: Prepare data pipelines for advanced analytics and AI-driven marketing initiatives.
Key shifts for data infrastructure in the AI era
Matia’s funding and growth reflect a broader shift toward unified, AI-ready data infrastructure. As organizations scale their AI and analytics efforts, the need for streamlined, reliable, and context-rich data operations is becoming critical. Platforms like Matia are helping teams move beyond fragmented tools, enabling faster decision-making and more effective marketing in a data-driven world.
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