Custom Machine Learning Solutions
Machine learning built around your specific system: predicting how a design will perform, working out where to put a sensor, or exploring a design space automatically.
- Performance prediction models trained on simulation or test data
- Sensor placement and instrumentation layout optimization
- Automated design exploration across thousands of variants
Active Flow Control
Control systems that adjust in real time as conditions change, trained on simulation data instead of tuned by hand.
- Real-time control policies for actuated components like wings, valves, and vents
- Trained on CFD-generated data and tested before it touches hardware
- Built around your own sensors and actuators
Vehicle Aerodynamics
External flow analysis to understand drag, downforce, and balance across a full vehicle or individual components.
- Full-vehicle and component-level external aero studies
- Drag, downforce, and front/rear balance quantification
- Wake and flow-structure analysis to explain what the numbers mean
Cooling & Thermal Airflow Analysis
Underhood and duct-level airflow analysis to keep components in their operating window without paying unnecessary drag.
- Underhood and duct flow analysis
- Thermal management airflow studies
- Trade-off analysis between cooling flow and drag
Design Validation & Optimization
Simulation-backed validation of a design direction before it reaches manufacturing.
- Pre-manufacturing design validation
- Comparative studies across design iterations
- Clear, engineering-focused reporting for design decisions
