Tower, a Berlin-based platform centered on reworking how knowledge engineering is dealt with within the AI period, has raised €5.5 million ($6.4 million) throughout a pre-Seed and Seed spherical to develop its go-to-market crew and deepen platform capabilities.
The pre-Seed spherical was led by DIG Ventures, and the Seed spherical was led by Speedinvest, alongside present buyers. Further buyers embody Flyer One Ventures, Roosh Ventures, Celero Ventures, and Angel Make investments, with participation from angels together with 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 growth, the actual problem has shifted to manufacturing. Builders can now create pipelines and brokers in minutes – however they nonetheless want a platform that may run them reliably on actual firm knowledge. Tower exists to show these concepts into manufacturing techniques, powered by data distinctive to every firm as a substitute of public and really dated web archives,” mentioned CEO Serhii Sokolenko.
Based in 2024 by former Snowflake engineers Sokolenko (CEO) and Brad Heller (CTO), Tower gives a single platform the place people and AI brokers can work collectively to take AI-generated code and switch it into software program techniques that companies can depend on.
Designed for groups delivery scalable knowledge and AI merchandise, the platform unifies Python-native orchestration, managed Iceberg storage, and management aircraft APIs right into a single multi-tenant system. This eliminates the necessity to sew collectively disparate instruments.
“Throughout our time at Snowflake, we noticed how the following technology of engineers needed a platform that actually mixed knowledge processing with AI. At this time, it’s wonderful to see how way more productive builders have turn into with AI coding brokers; nevertheless, they nonetheless battle with the identical outdated operational issues. It’s simpler than ever to write down useful code, but it surely’s nonetheless troublesome for people – and much more troublesome for AI brokers – to check it, repair points, ship it to manufacturing, and function it. That’s what we’re right here to repair with Tower,” mentioned CTO Brad Heller.
Apart from turning AI-generated code and knowledge pipelines into ready-for-production techniques, Tower claims to mix storage and processing compute on a single platform, giving knowledge engineering groups highly effective analytics capabilities.
In keeping with Tower, its storage platform makes use of the Apache Iceberg open desk format that ensures compatibility with Snowflake, Databricks, and all main knowledge engine distributors. This makes clients the house owners of their knowledge and ensures AI brokers obtain recent, company-specific data for correct selections and avoiding hallucinations.
The corporate states that builders worldwide are adopting Tower because the ‘final mile’ platform of selection, significantly amongst these growing Vertical AI companies and SaaS.
Tower is being embraced because the ‘final mile’ platform of selection by builders globally, significantly amongst these creating Vertical AI companies and SaaS.
“Groups constructing vertical AI companies and SaaS merchandise want an analytics platform that integrates seamlessly into their stack with out standing up costly legacy techniques or stitching collectively advanced cloud infrastructure. Serhii and Brad have constructed a multi-tenant platform purpose-built for quick integration and speedy iteration. That’s precisely the type of foundational infrastructure we’re excited to again,” mentioned Florian Obst, Principal at Speedinvest.
The corporate stories that in February, only a few months after launch, Tower exceeded 200,000 runs of 30,000+ distinctive apps, and its Python SDK reached 70,000 month-to-month downloads.
