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§ Private Profile · 595 Market St, San Francisco, California 94104, US
Serverless data engineering platform automating data infrastructure using Python with Git-style workflows for developers building AI applications.
Based in New York, New York, Bauplan is a serverless data engineering platform that enables developers to process large datasets and build artificial intelligence applications using Python and SQL without managing underlying compute infrastructure. The software platform integrates directly with cloud object storage and open table formats like Apache Iceberg while utilizing Git-style workflows to automate complex data pipelines. The startup operates as a business-to-business software-as-a-service provider and recently scaled its platform operations to successfully process 40,000 jobs per week in production for large enterprise infrastructure teams. Bauplan secured $7.5 million in seed funding through an April 2025 financing round led by Innovation Endeavors, with additional participation from South Park Commons, Wes McKinney, Aditya Agarwal, and Chris Ré. The enterprise was originally founded in 2022 by Ciro Greco, Jacopo Tagliabue, Mattia Pavoni, and Edoardo Bortolotti.
Bauplan has raised $8.0M across 1 funding round.
Bauplan has raised $8.0M in total across 1 funding round.
# Bauplan: A Serverless Data Platform for the AI Era
Bauplan is a cloud-native lakehouse platform designed to bring software engineering principles to data development.[3] Founded in 2022 and based in New York, the company has raised $4M in funding and operates in stealth mode.[2] Rather than building yet another data warehouse, Bauplan addresses a fundamental shift in how organizations approach data: as engineering teams increasingly need to automate data pipelines at scale, those pipelines must be built and operated like software—versioned, testable, and reproducible.[5]
The platform targets engineering teams who want to ship data pipelines without managing underlying infrastructure.[3] Bauplan eliminates the need for teams to juggle Spark, Kubernetes, metadata catalogs, and custom platform glue by consolidating these into a single, code-first system where developers write Python and SQL while the platform handles execution, isolation, data versioning, and scaling.[3] Early traction is notable: even in private beta, Bauplan runs over 40,000 jobs per week for clients across AI, media, and B2B SaaS.[5]
Bauplan sits at the intersection of three powerful trends. First, data has become mission-critical infrastructure—search, recommendation systems, and forecasting models now power core business functions, meaning data pipelines require the same rigor as production software.[5] Second, AI is accelerating the need for automation; as organizations deploy more AI agents and autonomous systems, data platforms must support not just human developers but also machine-driven workflows.[5] Third, developer experience is becoming a competitive moat—teams increasingly reject complex, infrastructure-heavy platforms in favor of tools that let them focus on business logic rather than operational overhead.
Bauplan's timing is strategic. The shift from batch analytics to continuous, production-grade data automation is well underway, and the emergence of AI agents as first-class consumers of data platforms creates a new category of demand that traditional data warehouses and lakehouses were not designed to serve.
Bauplan is betting that the future of data infrastructure mirrors the evolution of software development itself—moving from manual, ad-hoc processes to automated, version-controlled, and reproducible systems. The company's focus on making data "programmable like software" positions it well in an era where the line between data engineering and software engineering continues to blur.[5]
What's next likely includes deeper LLM integration, vector-first compute capabilities, and collaborative tooling around versioning and branching.[5] If Bauplan can maintain its developer-first positioning while scaling to support enterprise workloads, it could reshape how organizations think about data infrastructure—moving away from specialized data teams managing complex platforms toward a model where every engineer treats data as a first-class citizen in their codebase.
Bauplan has raised $8.0M across 1 funding round. Most recently, it raised $8.0M Seed in April 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Apr 1, 2025 | $8M Seed | Innovation Endeavors | Accel, Amplify Partners, Menlo Ventures, South Park Commons, Allison Pickens (Allison Pickens Ventures), Amjad Masad, Balaji Srinivasan, Yann Lecun | Announced |
Bauplan has raised $8.0M in total across 1 funding round.
Bauplan's investors include Innovation Endeavors, Accel, Amplify Partners, Menlo Ventures, South Park Commons, Allison Pickens (Allison Pickens Ventures), Amjad Masad, Balaji Srinivasan, Yann LeCun.