Definity raises $12 million Series A to automate enterprise data pipelines with AI
The startup targets inefficiencies in data infrastructure as companies scale AI operations.
Definity, a startup developing software to manage enterprise data pipelines, has raised $12 million in a Series A funding round, bringing its total funding to $16.5 million.
The round was led by GreatPoint Ventures, with participation from Dynatrace and existing investors StageOne Ventures and Hyde Park Venture Partners.
The company, founded by Roy Daniel (CEO), Ohad Raviv (CTO), Tom Bar-Yacov (VP R&D), also unveiled a new platform designed to automate the operation of enterprise data systems using artificial intelligence. The system focuses on managing data pipelines built on technologies such as Apache Spark and lakehouse architectures, which are widely used for analytics and AI applications.
Definity is targeting what it describes as a growing operational gap in enterprise data platforms. As organizations increasingly rely on data infrastructure to support AI and business operations, engineering teams are under pressure to deliver faster while maintaining reliability and controlling costs. Most existing tools, however, monitor isolated aspects of systems, such as performance or data quality, without providing a unified view, often leaving teams to respond to issues after they occur.
The company’s platform aims to address this by embedding AI-driven capabilities directly into production data pipelines. By observing systems in real time, it collects information on infrastructure behavior, execution processes, and data characteristics, allowing automated systems to identify and resolve issues as they arise.
According to the company, this approach enables organizations to reduce infrastructure costs, prevent failures before they disrupt operations, and accelerate development processes. The platform is designed to work across cloud and on-premise environments, including services such as Databricks, AWS EMR, and Google Cloud Dataproc.
Definity said it has seen growing adoption among large enterprises, including Fortune 500 companies, and reported that its revenue has tripled over the past six months.
