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Bauplan raises $7.5M to automate data infrastructure as code for AI software developers
- Bauplan Inc. has raised $7.5 million in seed funding to automate big data infrastructure for software developers.
- The round was led by Innovation Endeavors and included angel investors such as Wes McKinney, Aditya Agarwal, and Chris Re.
- Bauplan offers a 'serverless runtime' for processing large datasets using Python commands, simplifying AI app development.
- Developers can create data pipelines and applications without needing to worry about manual infrastructure tasks.
- Bauplan aims to provide a code-first approach for data infrastructure, making it accessible to developers without specialized knowledge.
- The platform is designed to integrate with continuous development workflows and is based on Python.
- Bauplan's goal is to enable developers to focus on building applications by removing the complexity of data infrastructure setup.
- Enterprise adoption of AI and data analytics is driving the need for disciplined data pipeline engineering.
- Bauplan's platform targets medium-to-large enterprises in industries like financial services, healthcare, and media.
- Early adopters like MFE-MediaForEurope have found relief from data infrastructure challenges with Bauplan's solution.
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