Fluidize, a Y Combinator Summer 2025 incubatee, announced its official launch, poised to transform research and development workflows with its innovative AI-driven platform. Fluidize addresses the critical challenge of fragmented pipelines and time-consuming experimental setups, enabling scientists and engineers to accelerate discovery and innovation.
The Conundrum: Fragmented Pipelines and Lost Time
Traditional R&D processes are often hampered by inefficient experimental setups and complex dependency chains. Teams frequently spend weeks manually configuring environments, resolving version mismatches, and integrating disparate tools. This significant friction not only slows down the pace of research but also compromises the integrity and reproducibility of scientific output.
Fluidize’s Antidote: AI-Orchestrated R&D Pipelines
Fluidize offers a groundbreaking solution by introducing AI-orchestrated R&D pipelines that streamline the entire research lifecycle. The platform’s key features include:
•Simplicity: A visual interface that allows users to render complex scientific sequences into clear, manageable pipelines.
•Automation: AI agents that interpret natural language to construct, parameterize, execute, and validate experiments automatically.
•Reproducibility: Shareable pipeline blueprints that ensure consistency across teams, time zones, and repositories.
•Scalability: The ability to prototype locally and seamlessly scale to cluster or cloud environments without code rewrites.
•Transparency: Full visibility into the underlying source code, preserving user autonomy even when delegating tasks to AI.
Fluidize seamlessly integrates with existing tool stacks while also offering a complete end-to-end solution. Its real-time collaborative dashboards further enhance teamwork and knowledge sharing, knitting together intelligence, automation, and scale at the core of R&D.
Founders, Proven and Bold
Fluidize is led by a trio of accomplished founders with deep scientific and entrepreneurial expertise:
•Henry Bae (CEO): A veteran of NASA, JPL, Goddard, and KSC, Henry holds dual degrees in Physics and Applied Math from Harvard. He famously paused his PhD to spearhead this automation revolution.
•Alex Fleury (COO): Alex brings extensive experience in scalable routing for Large Language Models (LLMs) and strategic advisory from Harvard Consulting and Lazard.
•Jamin Liu (CTO): Jamin has a proven track record of scaling startups to six-figure Annual Recurring Revenue (ARR) and tens of thousands of users, with research experience from MIT’s Lincoln Labs and AI for healthcare at Harvard.
Together, they are committed to bridging the gap between ideation and experimentation with minimal friction.
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Where It Matters: Aerospace, Energy, Automotive, Materials
Fluidize is set to make a significant impact in industries where R&D cycles are traditionally long and complex, including materials science, energy prototyping, aeronautics design, and automotive simulations. By radically compressing R&D timelines from months to days or even hours, Fluidize represents a revolutionary advancement in these critical sectors.
Why It Stands Apart
Fluidize distinguishes itself through several key differentiators:
•Toolchain Agnostic: It seamlessly integrates with existing legacy systems or can operate independently, adapting to diverse technological environments.
•NLP-Driven Workflow: Users can interact with Fluidize using natural language, shifting focus from complex coding to conceptual instructions.
•Built for Teams: Shared pipelines foster clarity, enhance reproducibility, and scale knowledge across collaborative environments.
Final Note
In a world racing toward hypermodern scientific frontiers, be it novel alloys, sustainable fuels, or next-gen aerospace components, Fluidize acts as the AI conductor, harmonizing all elements of the R&D orchestra. Its mission? To evacuate overhead, amplify insight, and let human ingenuity rediscover what truly matters: discovery.
Fluidize isn’t just a tool; it’s a catalyst in the age of intelligent experimentation.
