Tower.dev, founded by former Snowflake engineers, raised $6.4M (€5.44M) to help data teams turn AI-generated code into reliable production systems through a unified platform for data pipelines and analytics.
👯 Founders: Ukrainian Serhii Sokolenko (CEO), Brad Heller (CTO)
📅 Founding year: 2024
🏭 Industry: Data engineering, AI infrastructure, developer tools
💥 Problem: AI coding assistants have made it much easier for engineers to write data pipelines and applications, but turning that code into reliable, production-ready systems remains difficult. Testing, fixing issues, deploying to production, and operating AI-generated code is still complex and time-consuming for both humans and AI agents.
📣 Solution: Tower provides a unified platform where humans and AI agents collaborate to transform AI-generated code into reliable production systems. It combines storage and processing compute, enabling teams to run data pipelines and AI-powered applications while simplifying testing, deployment, and operations.
👥 Customers: Data engineering teams, developers building Vertical AI services and SaaS products, and companies managing large-scale data infrastructure.
🌱 Stage: Seed
💰 Investment amount: $6.4 million (€5.44 million)
🚀 Funded by: Speedinvest (seed round lead), DIG Ventures (pre-seed lead), Flyer One Ventures, Roosh Ventures, Celero Ventures, Angel Invest, and angel investors including Jordan Tigani (CEO of MotherDuck), Olivier Pomel (CEO of Datadog), Ben Liebald (former VP Engineering at Harvey.ai), and Maik Taro Wehmeyer (CEO of Taktile).
💡 It will be spent on: Expanding the go-to-market team and further developing the platform’s capabilities.
💬 In their own words:
“With AI coding assistants accelerating development, the real challenge has shifted to production… Tower exists to turn those ideas into production systems, powered by information unique to each company.” — Serhii Sokolenko, CEO
💪 Their specialty: Helping teams run AI-generated data pipelines and applications reliably by providing infrastructure built around Apache Iceberg and integrated analytics capabilities.
🔑 Business model: Platform-as-a-service for data engineering teams, providing managed infrastructure for data pipelines, analytics, and AI-powered applications.
👩🏫 Market: The rapidly growing AI infrastructure and data engineering tooling market, particularly for companies building AI-native software and data-driven applications.
📊 Traction: Tower has surpassed 200,000 runs across more than 30,000 unique apps, its Python SDK reaches around 70,000 monthly downloads, and the platform is already seeing early adoption among global builders and AI-focused startups.