Stockholm-based data observability startup Validio has reportedly raised $30 million in Series A financing aimed at expanding its enterprise data quality platform for AI and analytics workloads.

Details of the round have surfaced through startup ecosystem reports and investor tracking platforms, which suggest the company intends to use the capital to scale its technology and expand internationally.

Validio develops automated monitoring systems that detect anomalies in large data pipelines, helping engineering teams ensure the reliability of datasets used in analytics and machine learning applications. Maintaining high-quality data has become increasingly critical as enterprises deploy AI systems that rely heavily on accurate and consistent information.

Earlier funding for the company included a $15 million seed round led by venture firm Lakestar, as announced by the investor.

Image: Validio