柏林启动塔筹集6.4M美元,以简化使用开放源技术的AI数据管道部署。 Berlin startup Tower raises $6.4M to simplify AI data pipeline deployment with open-source tech.

柏林启动塔已经筹集了640万美元的种子前和种子资金,以应对可靠地将AI产生的数据管道投入生产的挑战。 Berlin-based startup Tower has raised $6.4 million in pre-seed and seed funding to tackle the challenge of reliably deploying AI-generated data pipelines into production. 该平台由前雪花工程师创建,采用开放的阿帕奇冰山格式整合储存和计算,与主要系统如雪花和Databricks兼容,同时减少供应商锁定。 Founded by former Snowflake engineers, the platform integrates storage and compute using the open Apache Iceberg format, enabling compatibility with major systems like Snowflake and Databricks while reducing vendor lock-in. 塔台的工具支持了人类工程师和AI代理机构之间的合作,目的是通过简化测试、部署和行动来缩小数据工程中的“最后一英里”差距。 Tower’s tool supports collaboration between human engineers and AI agents, aiming to close the "last mile" gap in data engineering by simplifying testing, deployment, and operations. 在Speedinvest、DIG风险公司和行业主管的支持下,公司针对在基础设施复杂情况下挣扎的数据团队,提供了一种旨在快速整合和可扩展的、具体针对公司的人工智能工作流程的多租户解决方案。 Backed by Speedinvest, DIG Ventures, and industry executives, the company targets data teams struggling with infrastructure complexity, offering a multi-tenant solution designed for fast integration and scalable, company-specific AI workflows.