Matia Unified DataOps Platform

Matia, Inc. builds a unified DataOps platform that replaces separate tools for data replication, reverse ETL, observability and cataloguing. Its legal terms are governed by New York law, and the company announced a $21 million Series A in February 2026.

The platform replicates data from 100+ sources into warehouses such as Snowflake, Databricks and BigQuery, adds column-level lineage and real-time anomaly detection at the source, and supports migration from Fivetran. An AI data engineer agent for pipeline creation is planned. Customers on the site include Ramp, Drata, HoneyBook and Recharge.

• Data ingestion: parallel syncs from 100+ sources into cloud warehouses.
• Reverse ETL: pushes warehouse data back into business applications.
• Observability: detects anomalies and schema changes at the source in real time.
• Data lineage: column-level lineage across pipelines.
• Data catalog: metadata context and semantic layer for AI use.
• Fivetran migration: imports existing pipelines and configurations.

A Vietnamese e-commerce or fintech company can sync application databases and ad platforms into a cloud warehouse with monitoring. A bank data team can use lineage and anomaly alerts to trace reporting errors.

Consolidates several data tools onto one bill; the site claims up to 61% lower data stack spend. Customer results listed on the site include 80% shorter sync time at Ramp and 83% lower warehouse cost at Obligo. New connectors are built in as little as 48 hours.

Enterprises are consolidating fragmented data stacks to cut tool sprawl and cost while preparing trusted data for AI. Vietnamese and Southeast Asian companies adopting Snowflake, Databricks or BigQuery face the same pipeline reliability and cost pressure.

Matia, Inc.; Series A of $21 million led by Red Dot Capital in February 2026, more than $31 million raised in total. SOC 2 and HIPAA badges shown. Listed as an AWS partner.