Bauplan, a startup focused on automating data infrastructure as code for AI software developers, has raised $7.5 million in seed funding. The company offers a Python-native, serverless data platform that leverages object storage and a code-first workflow, eliminating the need for clusters, notebooks, or GUI-based workflows. Bauplan aims to simplify data engineering by removing the complexities associated with technologies like Spark and Kubernetes, enabling developers to build AI applications more efficiently. The seed round was led by iendeavors, highlighting Bauplan’s potential to integrate AI and data infrastructure into software engineering seamlessly. Additionally, Emly Labs announced a partnership with Google Cloud as a Build Partner, enabling customers to adopt AI solutions with no-code tools while prioritizing security.