Tower Gets $6.4M to Fix AI-Era Data Infrastructure
The Tower founders, Brad Heller (CTO) and Serhii Sokolenko (CEO) - © Tower Computing GmbH
Tower, a Berlin-based data infrastructure startup, has raised $6.4 million to build what it calls the data backbone for the Python era of software development.
The round was backed by DIG Ventures, Speedinvest, Flyer One Ventures, Roosh Ventures, Celero Ventures, and Angel Invest, alongside a strong roster of angel investors including the CEOs of MotherDuck, Datadog, and Taktile, according to the company's press release.
The founding idea is straightforward: the modern data stack has quietly become the Python data stack. Tools like Polars, dbt, dlt, and LangChain are all Python. Data engineers are building faster than ever, but the infrastructure to run their work in production has not kept pace. Too many teams are stitching together pipelines across GitHub Actions, AWS Lambda, and internal scripts, spending time on plumbing that should be invisible.
Tower aims to fix that. Its platform gives Python developers a native orchestrator, execution compute, and analytical storage built on open Apache Iceberg, so teams can ship code to production without rewriting everything into a proprietary framework.
The timing is no coincidence. AI coding tools have made it easier than ever to build data applications, but they have also made the missing piece more obvious: once the app is built, where does it actually run?
Tower is now a team of 12, hiring senior engineers in Berlin and London. With its fresh capital, the company is doubling down on storage and collaboration features, with an eye on serving not just traditional data engineers but also the growing wave of tech-curious business users building their own data tools.
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