Real-Time Physics Based Optimization
Accelerating simulations up to 1000x using physics-informed AI, enabling analysis-in-the-loop design optimization for industries worldwide.
Get Started
Scroll Down
Accelerating simulations up to 1000x using physics-informed AI, enabling analysis-in-the-loop design optimization for industries worldwide.
Get Started
Scroll Down
.gif)
Revolutionizing design optimization through accelerated physics simulations
We design physics-informed AI models built around user requirements. Our models are trained on high-quality simulations or experimental data, yielding high precision at unprecedented speeds.
By combining deep physical understanding with cutting-edge AI, we enable design optimization that was previously impossible due to time and resource constraints.
Inviscid AI revolutionizes simulation-based design by combining physics principles with advanced AI, dramatically accelerating optimization without sacrificing accuracy.
Time-consuming: Engineering simulations can take hours or days to complete a single iteration
Resource-intensive: Requires significant computational power and specialized infrastructure
Limited iterations: Practical constraints limit the number of design variations that can be tested
Wasted knowledge: Does not capitalize on previous, similar results
Lightning fast: Up to 1000x faster than traditional simulations
Resource efficient: Runs on standard hardware with minimal infrastructure requirements
Real-time optimization: Test hundreds of designs in the time it would take to run one traditional simulation
Knowledge leverage: Learns from historical simulation data to improve accuracy and speed
Our AI models are constrained by physical laws, ensuring predictions always adhere to real-world physics principles. This approach combines the speed of AI with the reliability of scientific principles.
Transform your design process with analysis-in-the-loop capabilities. Get immediate feedback on design changes and explore vastly more options in a fraction of the time.
Our models continually learn from new simulations, becoming more accurate and efficient over time. This creates a positive feedback loop that delivers ever-improving results.
Our technology applies across multiple industries including construction, server design, automotive, engineering, and energy sectors - anywhere simulation-based optimization is needed.
See how our physics-informed AI has transformed industries
Meet the experts behind our physics-informed AI technology
University of Oxford – Computer Science
International Olympiad in Artificial Intelligence Gold Medallist
Published at NeurIPS'24
NUS – Computer Science and Mathematics
YHSA (Asia) – First Place
Singapore Young Physicist Tournament Gold Medallist
University of Oxford - Physics
International Young Physicists' Tournament Gold Medallist
Published at Physica Scripta
Ready to accelerate your design optimization process?
We're here to help you implement physics-informed AI solutions that dramatically speed up your simulation and design optimization processes.