Open-Source
Toolchain.
Enterprise-grade power electronics simulation and design without six-figure annual software licenses. The Power Flux AI open-source toolchain replaces ANSYS, MATLAB, and Cadence with FEMM, FreeCAD, ngspice, KiCad, and Python — and teaches it to engineers worldwide through the workshop program.
Every tool. Every role.
Zero license cost.
FEMM (Finite Element Method Magnetics) for 2D electromagnetic and thermal analysis of motors and magnetics. Elmer FEM for 3D electromagnetic simulation of complex geometries. Python scripting for automated parameter sweeps and genetic algorithm optimization. Used in every motor design engagement.
FreeCAD for parametric 3D CAD. CalculiX for structural FEA — static stress, modal analysis, fatigue. OpenFOAM for computational fluid dynamics — cooling channel optimization, heat sink CFD, and airflow analysis. Fully integrated with FEMM thermal output.
ngspice for SPICE-level circuit simulation of power stage, gate drive, and analog control circuits. QUCS (Quite Universal Circuit Simulator) for RF and mixed-signal analysis. LTSpice for rapid switching transient analysis. All integrated with Python for automated sweep and optimization.
Python replaces MATLAB for all numerical analysis, signal processing, control system design (Bode plots, root locus, state-space), and optimization. SciPy for scientific computing. NumPy for matrix operations. Jupyter notebooks for interactive design documentation and reproducible analysis.
KiCad for complete PCB design — schematic capture, symbol library, footprint library, multi-layer PCB layout, 3D visualization, DRC, and Gerber generation. Used for all power electronics PCB design from gate drive to full inverter. AI-assisted component placement scripts built on KiCad Python API.
STM32 microcontrollers programmed via Arduino IDE and PlatformIO for rapid development. FreeRTOS for real-time operating system. AI-FOC motor control algorithm implementation. TI TMS320F28388D for high-performance DSP applications requiring deterministic 16–32 kHz control loops.
Python for digital twin model construction and data processing. InfluxDB time-series database for field telemetry storage. Grafana for real-time visualization dashboards. MQTT for lightweight IoT data transport. REST API for SCADA and DCIM integration.
TensorFlow and PyTorch for neural network training — thermal prediction models, sensorless control observers, and fault detection classifiers. DEAP (Distributed Evolutionary Algorithms in Python) for genetic algorithm design optimization. NVIDIA H100/A100 via cloud for training workloads.
Learn the toolchain in 3 days.
The 3-Day AI Motor, Inverter, Hardware & Firmware Design workshop teaches the complete open-source toolchain hands-on. No software licenses required. Engineers leave with a working toolkit and the skills to use it.