Tower, a Berlin-based startup building data engineering infrastructure for AI applications, has raised €5.5 million ($6.4 million) across combined pre-seed and seed funding rounds. The company positions itself as a "last-mile" platform designed to help data engineers manage the complexities of AI-era data workflows and infrastructure.
DIG Ventures led the pre-seed round, while Speedinvest led the subsequent seed round, with participation from existing investors. The funding will be used to expand Tower's go-to-market team and enhance platform capabilities as the company scales its operations.
The data infrastructure market has become increasingly crowded as AI adoption accelerates across enterprises, with companies like Databricks, Snowflake, and newer entrants competing for market share. The global data engineering tools market is projected to reach $24.9 billion by 2028, driven by growing AI workloads that require specialized data processing and management capabilities.
Tower's funding reflects broader investor interest in AI infrastructure startups that solve specific technical challenges rather than general-purpose AI applications. As organizations struggle with data quality, pipeline management, and AI model deployment at scale, specialized tools like Tower's platform could become critical infrastructure components in the AI stack.