Tower Raises €5.5M to Power Data Engineering for AI

Berlin-based Tower has closed €5.5 million across pre-seed and seed rounds to sharpen its tooling for data engineering in an AI-driven world. DIG Ventures led the pre-seed round, while Speedinvest led the seed, joined by several VC firms and notable angels.

The raise comes as companies increasingly need fresh, reliable business data to feed trustworthy AI systems. Tower aims to address that need by offering infrastructure that unites analytical storage and compute in a single environment, so teams can build, run and own their pipelines without shipping sensitive information to public archives.

Founded by former Snowflake engineers Serhii Sokolenko (CEO) and Brad Heller (CTO), Tower focuses on what it calls the “last mile” of development: turning AI-generated prototypes into production-ready systems. The founders say AI coding assistants have accelerated creation of pipelines and agents, but deployment and reliable operation on real company data remain the bottleneck.

To stay interoperable with existing ecosystems, Tower builds on the Apache Iceberg open table format, which helps ensure compatibility with major data platforms and processing engines. That choice supports organisations that want modern analytics and AI workloads while retaining control of their own data assets.

Practically, Tower’s platform provides data engineering teams with tools to manage storage, orchestrate compute and collaborate with AI agents, shortening the path from generated code to robust production pipelines. The startup plans to use the new funding to expand its go-to-market team and further develop platform capabilities.

Investors backing the rounds include Flyer One Ventures, Roosh Ventures, Celero Ventures and Angel Invest, alongside angels such as Jordan Tigani and Olivier Pomel. Tower’s pitch is timely: as AI reshapes the competitive landscape, owning fresh, company-specific data could be a key differentiator.