Tower raises 6.4 million dollars

The Berlin-based startup Tower has raised a total of 6.4 million US dollars in a pre-seed and seed financing round. The pre-seed round was led by DIG Ventures, the seed round by Speedinvest. Other investors include Flyer One Ventures, Roosh Ventures, Celero Ventures and Angel Invest.

Several industry representatives also participated as business angels, including Jordan Tigani, CEO of MotherDuck, Olivier Pomel, CEO of Datadog, Ben Liebald of Harvey.ai and Maik Taro Wehmeyer, CEO of Taktile.

Platform for data engineering in the age of AI

Tower is developing a platform for data engineering teams whose working methods are increasingly being changed by artificial intelligence. Today, AI-powered code assistants enable developers to create data pipelines or applications very quickly.

However, the challenge often lies in reliably testing and operating these generated codes and transferring them to productive systems. Tower is therefore positioning itself as a platform for the so-called last step of development, in which stable production systems are created from generated code.

Collaboration between developers and AI agents

The platform provides a shared environment in which developers and AI agents can work together. The aim is to use automatically generated code and data pipelines to create functioning software systems that work with real company data.

This is intended to facilitate the transition from experimental AI applications to stable production systems.

Founded by former Snowflake developers

Tower was founded by former Snowflake developers Serhii Sokolenko and Brad Heller. Both had previously worked on data platforms and saw the challenges of modern data architectures from their own experience.

Their goal is to create a platform that brings together data processing, AI development and analysis functions in one environment.

Open data formats as the basis

A technical foundation of the platform is the open table format Apache Iceberg. This format enables compatibility with various data platforms such as Snowflake or Databricks.

Companies thus retain control over their own data and can operate AI systems with up-to-date, company-specific information.

First use by development teams

According to the company, the platform is already being used by developers who are developing AI-based applications or so-called vertical AI services. Just a few months after its launch, Tower recorded more than 200,000 executions of over 30,000 applications. The platform's Python SDK achieves around 70,000 monthly downloads.

The company plans to use the new capital primarily to expand its Go to Market team and further develop the platform's functions.