"The hard part of building with AI is no longer getting the code. It is getting the code to run. That gap, between what an AI coding assistant can produce in minutes and what a production system actually needs to stay alive - is the problem Tower is trying to close."
"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."
"Tower brings storage and compute onto a single platform, built around the Apache Iceberg open table format. Iceberg has become the de facto open standard for analytical storage, compatible with Snowflake, Databricks, and most major data engine vendors, a deliberate choice that means Tower customers retain ownership of their own data and are not locked to a single stack."
Tower is a Berlin-based startup that raised €5.5 million to solve the production deployment challenge of AI-generated data pipelines. Founded by Serhii Sokolenko and Brad Heller, both former Snowflake engineers, the company focuses on the 'last mile' of AI-assisted development—testing, debugging, delivery to production, and ongoing operation of AI-generated code. While AI coding assistants can quickly generate functional code, deploying and maintaining that code in production environments remains difficult. Tower's platform integrates storage and compute on a single platform using Apache Iceberg, an open table format that ensures data portability and prevents vendor lock-in. The platform is compatible with major data infrastructure providers including Snowflake and Databricks.
#ai-generated-code-deployment #data-pipeline-infrastructure #production-operations #apache-iceberg #data-infrastructure-startup
Read at TNW | Startups-Technology
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