Startup Intros · Sep 2025
Reported Fluidize's $500K seed round and listed its investor syndicate.
Helping scientists and engineers run experiments with AI.
Public company, workplace, funding, and market signals
Updated Jul 29, 2026
Fluidize is a San Francisco-based YC Summer 2025 startup building a demo-led AI platform for scientific computing that automates simulation and experiment workflows for scientists and engineers.
Primary product
AI platform for scientific computing that automates setup, execution, validation, and scaling of simulation and experiment pipelines.
Founded
2025
Headquarters
San Francisco, California, United States
Team size
3
Industry
Artificial Intelligence
Sub-industry
Scientific computing / simulation workflow automation
Business model
0 jobs at Fluidize
Check back later for new openings
Stage
Seed
Total raised
$500K
Latest round
Seed · Sep 2025
Latest amount
$500K
Sep 2025 · Y Combinator
Investors
Public materials suggest an early-stage, founder-led, science- and engineering-focused culture centered on reproducibility, collaboration, and hands-on workflow automation.
Compensation
No public employee compensation bands or salary information found.
Pricing
Demo-led SaaS; third-party pages suggest subscription pricing starting around $49/mo, but official pricing is not public.
Differentiators
Technology
Customers
Competitors
Estimated revenue
Approximately $250K-$330K ARR (third-party estimates vary).
Startup Intros · Sep 2025
Reported Fluidize's $500K seed round and listed its investor syndicate.
Alex Fleury LinkedIn · Aug 2025
Announced the fluidize-python library, emphasizing standardized simulation modules, minimal code changes, and easier AI automation for experiments.
Villpress · Aug 2025
Launch coverage describing Fluidize as a Y Combinator Summer 2025 company building AI-orchestrated R&D pipelines for scientific workflows.
Y Combinator · Aug 2025
Y Combinator introduced Fluidize (YC S25) as an AI platform that speeds up simulation and experiment workflows by automating setup, execution, validation, and scaling.