High-fidelity physics. Accelerated by AI.
Transform weeks of iterative analysis work into hours of intelligent exploration with physics-informed, AI-accelerated simulation and inverse design.
Exploration at scale demands a different approach
Traditional simulation workflows force you to choose between speed and fidelity. Running hundreds of simulations means weeks of meshing, solver runtime, and manual validation—so teams explore just a handful of concepts before locking in decisions.
nTop generates datasets in hours using implicit geometry and GPU-accelerated simulation, which can then be used to train surrogate models that predict performance in milliseconds, making comprehensive exploration standard practice.
Design spaces that capture engineering logic
From parameters to physics-ready geometry, instantly.
nTop modeling technology creates simulation-ready geometry that updates dynamically without crashes or rebuild failures. Define your design space through parameters, fields, and reusable blocks that stay traceable and editable throughout the AI workflow.
Generate training data without the bottlenecks
Hundreds of simulations. No meshing delays. No geometry failures.
Run large-scale studies using nTop integrated solvers or GPU-accelerated CFD partners. Implicit geometry eliminates meshing bottlenecks and enables parallel execution across your entire design space. What once took weeks of manual setup and solver runtime now completes in hours, generating the high-fidelity datasets your AI models need.
Train models that understand your physics
Build surrogate models grounded in real engineering data.
Train machine learning models that learn the relationships between your design parameters and performance outcomes. Models remain tied to your application-specific parameters and engineering logic, giving you predictions you can trust and explain.
Real time requirements to geometry
Seconds per evaluation. Thousands of variants explored.
Use trained surrogate models as drop-in replacements for solvers during optimization. Evaluate design performance in seconds instead of hours, enabling exploration at a scale impossible with traditional methods. Start from performance targets and work backward to geometry with inverse design.
Explore more. Decide faster. Build smarter.
nTop Physics AI enables comprehensive design space exploration with early performance validation and optimization results you can trust.
De-risk earlier
Evaluate thousands of variants before downselection to catch issues when they're still easy to fix.
Compress timelines
Deliver optimized designs in hours instead of weeks to beat competitors and increase win probability.
Compound your IP
Turn models and datasets into proprietary assets that become more valuable with every project.
Scale expertise
Capture expert workflows in reusable processes that make every engineer more capable.
nTop Physics AI at Lockheed Martin
nTop partnered with Lockheed Martin to accelerate heat exchanger design using inverse design workflows, where performance parameters drive an optimizer to discover ideal design configurations.
- Weeks to hours traditional vs. ML-accelerated timeline
- 400+ design points computed in 6-8 hours
- Zero computational failures throughout the entire process
Ready to scale AI across your engineering workflow?
See how Physics AI helps engineering teams explore faster, optimize with confidence, and build IP that compounds.