Tower, a Berlin-based platform focused on transforming how data engineering is handled in the AI era, has raised €5.5 million ($6.4 million) across a pre-Seed and Seed round to grow its go-to-market team and deepen platform capabilities.
The pre-Seed round was led by DIG Ventures, and the Seed round was led by Speedinvest, alongside existing investors. Additional investors include Flyer One Ventures, Roosh Ventures, Celero Ventures, and Angel Invest, with participation from angels including Motherduck’s CEO Jordan Tigani, Datadog’s CEO Olivier Pomel, Harvey.ai’s VP of Engineering Ben Liebald, and Taktile’s CEO Maik Taro Wehmeyer.
“With AI coding assistants accelerating development, the real challenge has shifted to production. Builders can now create pipelines and agents in minutes – but they still need a platform that can run them reliably on real company data. Tower exists to turn those ideas into production systems, powered by information unique to each company instead of public and very dated internet archives,” said CEO Serhii Sokolenko.
Founded in 2024 by former Snowflake engineers Sokolenko (CEO) and Brad Heller (CTO), Tower provides a single platform where humans and AI agents can work together to take AI-generated code and turn it into software systems that businesses can rely on.
Designed for teams shipping scalable data and AI products, the platform unifies Python-native orchestration, managed Iceberg storage, and control plane APIs into a single multi-tenant system. This eliminates the need to stitch together disparate tools.
“During our time at Snowflake, we saw how the next generation of engineers wanted a platform that truly combined data processing with AI. Today, it’s amazing to see how much more productive developers have become with AI coding agents; however, they still struggle with the same old operational problems. It’s easier than ever to write functional code, but it’s still difficult for humans – and even more difficult for AI agents – to test it, fix issues, deliver it to production, and operate it. That’s what we’re here to fix with Tower,” said CTO Brad Heller.
Besides turning AI-generated code and data pipelines into ready-for-production systems, Tower claims to combine storage and processing compute on a single platform, giving data engineering teams powerful analytics capabilities.
According to Tower, its storage platform uses the Apache Iceberg open table format that ensures compatibility with Snowflake, Databricks, and all major data engine vendors. This makes customers the owners of their data and ensures AI agents receive fresh, company-specific information for accurate decisions and avoiding hallucinations.
The company states that builders worldwide are adopting Tower as the ‘last mile’ platform of choice, particularly among those developing Vertical AI services and SaaS.
Tower is being embraced as the ‘last mile’ platform of choice by builders globally, particularly amongst those creating Vertical AI services and SaaS.
“Teams building vertical AI services and SaaS products need an analytics platform that integrates seamlessly into their stack without standing up expensive legacy systems or stitching together complex cloud infrastructure. Serhii and Brad have built a multi-tenant platform purpose-built for fast integration and rapid iteration. That’s exactly the kind of foundational infrastructure we’re excited to back,” said Florian Obst, Principal at Speedinvest.
The company reports that in February, just a few months after launch, Tower exceeded 200,000 runs of 30,000+ unique apps, and its Python SDK reached 70,000 monthly downloads.
