Fluid dynamics will change forever
Coming soon
Fluid dynamics in seconds
TurbulaAI lets you replicate the accuracy of CFD at a fraction of the time and cost.
Upload geometry file and configure
Support various formats
Configure the fidelity
Download the result within seconds
AI-native CFD alternative
TurbulaAI is the world’s first
AI-native CFD alternative, built to redefine how automotive engineers
and researchers simulate the physics of fluid
dynamics.
Using deep learning models trained on
high-fidelity aerodynamic data, TurbulaAI predicts flow fields, pressure
distributions, and drag coefficients in seconds
instead of hours or even days.
Explore and optimize rapidly
The platform enables automotive engineers,
researchers, and design teams to
explore and optimize concepts rapidly
— eliminating the need for expensive HPC
clusters or weeks of iteration.
Built as a cloud-based SaaS, TurbulaAI integrates seamlessly with existing
workflows, delivering instant, CFD-grade
aerodynamic insights through a modern and
intuitive interface.
Current Development Stage
Prototype
Exciting developments are underway! We're in the prototype stage, shaping the technology that transform hours-long simulations into near-instant predictions.
About us
Our mission
TurbulaAI’s mission is to
simplify aerodynamic simulation
by replacing the complexity and cost of
traditional CFD with intelligent, AI-driven tools.
We enable engineers, researchers, and innovators
to explore, test, and optimize designs in seconds
— making high-fidelity simulation faster, more accessible, and sustainable.
Our goal
TurbulaAI delivers a quicker, AI-native
alternative to traditional automotive CFD —
transforming how aerodynamic simulations are
performed.
We address the challenges of slow, costly, and resource-intensive
CFD workflows by using machine learning models that
produce industry-standard results in a
fraction of the time.
Our platform is designed for automotive engineers,
R&D teams, universities, and businesses seeking to
accelerate
their design process without sacrificing accuracy or reliability.
Team Information
Rafi Izza Rizaldi
Founder, CEO, & ML Engineer
Richard Daniel S.
Cloud Engineer & Full Stack Dev