Astronomer has raised $93 million in Series D funding to enhance their data orchestration platform Astro, powered by Apache Airflow.
The funding round was led by Bain Capital Ventures and included participation from Salesforce Ventures and existing investors like Insight and Venrock.
Astronomer plans to use the funding to accelerate research and development and expand globally, with a focus on Europe, Australia, and New Zealand.
Data orchestration plays a crucial role in overcoming the 'AI implementation gap' in deploying AI initiatives effectively across enterprises.
Astronomer's platform, Astro, based on Apache Airflow, is recognized for its role in orchestrating complex data workflows across various systems.
The company's growth signifies a shift in enterprises' perception of data orchestration from backend infrastructure to a mission-critical technology enabling AI innovation.
Enterprises like Ford Motor Company use Astronomer's platform for AI operations, leveraging its orchestration capabilities for tasks like autonomous driving systems and machine learning operations.
Astronomer's emphasis on scalable orchestration and automation has led to significant customer expansion and adoption rates for their platform in AI and machine learning applications.
The company's recent announcements include the general availability of Airflow 3.0, introducing features tailored for AI workloads and expanding industry partnerships.
Astronomer aims to redefine enterprise data operations by moving towards 'unified DataOps,' integrating observability, quality management, and governance into a single platform.