DeepUnity leverages advanced artificial intelligence to transform the design and analysis of M-shape subsea jumpers. Our specialized bi-directional LSTM neural network provides engineers with unprecedented accuracy in predicting unity values and optimizing jumper configurations for offshore applications.
State-of-the-art bi-directional LSTM neural network trained on extensive offshore jumper data for precise unity predictions.
Detailed prediction analysis with 32 parameters including geometry, operating conditions, material properties, and tolerances.
Configuration design with 25 system variables and constraints to generate optimal jumper configurations meeting your specifications.
3D jumper visualization with contour plots, element highlighting, and real-time stress analysis for intuitive data interpretation.
Optimized for speed with model inference completing within 5 seconds and responsive design for all modern devices.
Professional-grade accuracy with support for both longitudinal and combined unity criteria, critical for offshore applications.
