US 
KR 
NFLOW enables users to identify flow through/around structures to optimize product designs, and enables users to predict performance at the design stage to reduce overall cost of production
Non-experts can just as easily approach NFLOW
to execute flow analysis as well as visualize results
that reflect the actual 3D terrain modeling
NFLOW’s performance is evidenced by the various awards that it has won, which include “Excellent product” by the Korea Public Procurement Service, “First-class good software” certification, a “Technologically developed product for demonstrative purchase award”, an “Excellent patent award”, as well as through the various joint projects it has been used in.
Pre-processing that directly reflects the design drawings ▶ Easily scalable fluid analysis based on multi-GPU system expansion ▶ Powerful post-processing that enables viewing of the results on various devices
Core technologies for digital twin
NFLOW is an easy-to-use simulator that integrates pre-processing, analysis, and post-processing. With an intuitive UI and various post-processing functions, the program provides an excellent utility as a modeling and simulation software, which is the crucial for digital twins.
Modeling and simulation
NFLOW can easily reflect 3D models without limits of the physical size of objects, and able to optimize designs through taking into account various input parameters and performing iterative simulations.
A.I. with NFLOW
The results obtained with NFLOW can be used as the data to construct AI-based systems, which are a prerequisite for a digital twin. One can use NFLOW in conjunction with machine learning to quickly identify trends.