Fluidize
Fluidize is an AI-powered R&D platform that accelerates scientific and engineering workflows by automating simulation and experiment pipelines. Founded in 2025 by three Harvard concurrent master's graduates in CS and Physics with experience at NASA, Lincoln Labs, and Harvard research labs, Fluidize uses AI agents to automate the setup, execution, validation, and scaling of scientific simulations. The platform provides a visual pipeline interface for sequencing computational steps (e.g., mesh generation, solver execution, validation), supports natural language instructions to guide AI agents, enables reproducible and shareable pipelines, and allows seamless scaling from local to cloud or cluster environments. Fluidize targets engineering teams in aerospace, energy, automotive, and materials industries. The company is a Y Combinator Summer 2025 batch company and has released an open-source Python library (fluidize-python) for building modular, reproducible scientific computing pipelines.
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An open-source Python library for building modular, reproducible scientific computing pipelines. Provides a unified interface to physical simulation tools and enables AI-orchestrated scientific computing.
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