Bauplan, a Python-first serverless data platform, launched today with $7.5 million in seed funding led by Innovation Endeavors, with participation from Wes McKinney, Aditya Agarwal, Chris Re, and advisor Ihab Ilyas. The platform streamlines complex data infrastructure into simple Python code, enabling software engineers to build data-intensive applications without managing intricate cloud systems like Kubernetes or Spark.

Founded by Ciro Greco, Jacopo Tagliabue, and Mattia Pavoni—former Tooso founders who led it to IPO via Coveo—Bauplan targets the growing need for accessible data infrastructure as AI and object storage reshape the industry. The platform allows developers to process large datasets on object storage using serverless Python functions, integrating git-like operations (branch, commit, merge) and CI/CD workflows. This eliminates the need for specialized data teams, empowering software engineers to handle machine learning and AI workloads.

“Bauplan transforms data infrastructure like DevOps did a decade ago,” said Greco, CEO. “We saw a major infrastructure team scale from zero to 40,000 jobs per week after adopting our platform.” Already in use by enterprises like MFE-MediaForEurope, Bauplan enables developers to focus on building applications rather than managing infrastructure, unlocking new use cases in weeks.

“Bauplan’s Lambda-like experience removes the complexity of tools like Spark, letting any software engineer act as a data engineer,” said Davis Treybig of Innovation Endeavors. Ideal for B2B software, media, finance, and healthcare tech, the platform supports Iceberg tables, zero-copy branches, and automatic data versioning. The funding will drive product development and early customer validation.