New Serverless Platform Makes AI and Data Applications as Simple as Writing Code, Backed by Innovation Endeavors
Bauplan, a Python-first serverless data platform that transforms complex infrastructure processes into a few lines of code over data lakes, today announces its launch with $7.5 million in seed funding. The round was led by Innovation Endeavors with participation from experienced operators Wes McKinney, Aditya Agarwal, Chris Re. Ihab Ilyas joins as an advisor.
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Bauplan co-founders (from left to right): Ciro Greco, Jacopo Tagliabue and Mattia Pavoni
The data infrastructure industry has long been dominated by complex platforms and specialized teams, limiting data-intensive operations to costly, highly skilled professionals, stifling innovation and distracting developers with intricate cloud setups. As API-driven deployment in AI and the shift towards object storage reshape industry needs, data infrastructure must become accessible to software engineers skilled in application development but not necessarily in big-data systems. These developers need code-first solutions that integrate with CI/CD workflows and prioritize Python—free from SQL or Spark limitations.
Launching today, Bauplan offers a serverless runtime that processes large datasets directly on object storage in pure Python. Developers can build powerful applications using simple serverless Python functions and familiar git-like concepts like branch, commit, and merge. This programmable, code-first platform is built for automation to empower the next generation of data developers and eliminates the need for Kubernetes, Spark, and special infrastructure management.
“Data today looks a lot like DevOps a decade ago,” said Ciro Greco, CEO and co-founder of Bauplan. “Back then, infrastructure-as-code allowed all kinds of developers to automate a lot of stuff. Data is going through the same process today. We had a revelatory moment at the beginning of this year when a large infrastructure team put the system in production and we went from zero to 40,000 jobs per week.”
Bauplan was created by Greco, Jacopo Tagliabue, and Mattia Pavoni, who took their previous company, Tooso, from inception to IPO through acquisition by Coveo. The team has worked on data and machine learning for a long time, published 60+ research papers, earned thousands of citations, and created popular open source contributions with over 50M downloads and 10k GitHub stars.
Bauplan is ideal for infrastructure and data science teams in medium sized and large enterprises with data intensive use cases involving machine learning and AI applications, especially in B2B software, media, financial services and healthcare tech. It’s already used by enterprise design partners, such as MFE-MediaForEurope, a leading European broadcaster.
"Bauplan has rapidly taken hold across our organization. Developers who have the expertise to work on data can now focus on the actual work and never deal with infrastructure. At the same time, developers who are green or have a traditional backend and software engineering background can now build production-grade solutions with data. We went from being stuck with infrastructure to unlocking a wide range of new use cases in just weeks," said Fabio Melen, Head of Data Technology at MFE-MediaForEurope.
The new capital will be used for product development and initial market validation with early customers.
“Bauplan has done pioneering infrastructure work to create a Lambda-like experience for complex data and AI workloads,” said Davis Treybig, Partner at Innovation Endeavors. “By removing all the infrastructure complexity & abstraction overhead of tools like Spark, they allow any software engineer to be a data engineer. This is an essential shift as all companies become AI-driven.”
The platform provides serverless Python functions vertically integrated with object storage, supporting natively Iceberg tables and git-like operations over data lakes, like zero-copy branches and automatic data versioning. Developers can build pipelines and applications over data branches without having to manage Kubernetes, Spark, or any other infrastructure and manage the entire data lifecycle as a CI/CD workflow using a simple Python SDK.
To learn more about Bauplan or request a demo, visit https://www.bauplanlabs.com/
About Bauplan
Bauplan is a Python-first serverless data platform that transforms complex infrastructure processes into a few lines of code over data lakes. It allows data scientists and developers to build robust AI and data applications directly on S3 using serverless functions and Iceberg tables, without having to manage Kubernetes, Spark, or any other infrastructure. The founding engineering team has expertise from Amazon, Docker and RelationalAI with degrees from MIT, UW-Madison and GeorgiaTech. The company is based in San Francisco and New York. For more information, visit https://www.bauplanlabs.com/
About Innovation Endeavors
Innovation Endeavors is an early-stage venture firm that invests in science and engineering teams building the future we want to live in. We back breakthroughs where sensing, data, and AI converge across computing infrastructure, intelligent software, engineering health, the physical economy and more. Our founders solve critical global challenges with unprecedented speed and impact. Our investments include Afresh, AlphaSense, Augment, Atom Computing, Color, Gatik, Eikon Therapeutics, Homelight, Kong, Formlabs, Own Company, Panther, Planet, Skylo, SoFi, Uber, Upstart, Vicarious Surgical, and more. For more information, visit www.InnovationEndeavors.com.
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“We’re building the missing layer between software engineering and data infrastructure — where deploying AI and data apps is as easy as writing Python.” — Ciro Greco, CEO and Co-founder of Bauplan
Contacts
Media contact
media@bauplanlabs.com
