Fluidize: AI-powered R&D

👋 Hey everyone!

We’re Alex, Henry, and Jamin - co-founders of Fluidize.

TL;DR:
Fluidize accelerates R&D for scientists and engineers by using AI to run simulations and experiments. Our platform speeds up development pipelines by automating setup, execution, validation, and scaling.

Our ask: Can you introduce us to engineering teams in the aerospace, energy, automotive, and materials industries struggling with slow R&D?

Contact us: founders@fluidize.ai

https://www.youtube.com/watch?v=6Tm7ha9APAs\

❌ The Problem:
Today’s tools are still slow and disjointed. In our physics research at Harvard, we wasted weeks navigating incomplete setup instructions, fixing broken dependencies, and duct-taping legacy tools together. That time should have been dedicated towards actual science.

🌟 Our Solution:
Fluidize uses AI to accelerate R&D while keeping scientists and engineers in control of critical decisions. Our platform offers:

• Simplicity: Turn any sequence (e.g. mesh → solver → validate) into a clear visual pipeline.
• Automation: Use natural language to guide AI agents to set up, parameterize, execute, and validate simulations or experiments.
• Reproducibility: Save your pipelines and easily share it to your team or the world.
• Scalability: Prototype locally, then scale seamlessly to cloud or cluster environments.
• Transparency: View and edit all underlying source code for full control.

Our Team:
We are three Harvard concurrent master’s graduates in CS and Physics with experience at NASA, Lincoln Labs, and Harvard physics/applied AI research.

We’re on a mission to accelerate scientific discovery by removing the barriers between ideas and execution. If that resonates with you, reach out at founders@fluidize.ai.