Physics-Driven Industries
%20(1)%20(1).avif)
We accelerate human and machine performance by optimizing the engineering and production processes in physics-driven industries.
By embedding the laws of thermodynamics, fluid dynamics, and material behavior into its AI models, Navigator delivers superior accuracy, even in data-scarce or rapidly changing environments.
.avif)
Embedded Physical Laws: Navigator’s models incorporate thermodynamics, fluid dynamics, and other physical constraints, yielding superior accuracy compared to “black-box” models.
Increased Robustness: Navigator’s models stay reliable in data-scarce or rapidly changing conditions common in many physics-driven industries.
Fuel-Agnostic Insight: Accurately determines the calorific value of diverse fuel types, enhancing optimization of combustion and energy utilization.
Adaptive and Scalable: Wide applications where precise characterization of material properties is vital—such as chemical processing, metallurgy, or advanced materials manufacturing.
.jpg)
LSTM (Long Short-Term Memory): Connects historical data with current conditions, especially in production forecasting, supply chain, and predictive maintenance.
CNNs (Convolutional Neural Networks): Detects patterns in sensor data for real-time anomaly and event recognition.
DNNs (Deep Neural Networks): Learns complex, multi-variable relationships for high accuracy in varied domains.
Navigator, our patented AI-based platform, enables the production of the same amount of energy with less fossil fuels and lower emissions.
