Power Electronics
Solutions.
End-to-end power electronics engineering beyond motor and inverter development — design verification, physical design, package engineering, test engineering, and product engineering. Every deliverable built on the AI platform.
From first silicon to
production release.
Whether you need to verify an existing design, prepare it for manufacturing, or qualify it for a demanding application — Power Flux AI provides the full engineering stack.
Verify Before You Build
Comprehensive design verification against electrical, thermal, and mechanical specifications. Simulation-based verification using PLECS, MATLAB, and FEMM before any prototype is fabricated — catching design errors at the lowest possible cost point.
Test Points, Not Surprises
Structured design-for-test methodology ensures every critical signal is accessible and measurable. Test point placement, boundary scan architecture, built-in self-test (BIST), and automated test pattern generation. Built into the design — not retrofitted.
Layout That Performs
High-power multi-layer PCB physical design with EMI-controlled routing, power plane optimization, thermal relief, and creepage/clearance compliance. AI-assisted layout generation from validated schematics. KiCad-based with full DRC and LVS sign-off.
Module and Enclosure
Power electronics packaging for demanding environments — thermal interface design, enclosure engineering, connector selection, IP rating compliance, potting and conformal coating specifications. Refrigerant-cooled and liquid-cooled packaging for high-density applications.
Automated Test Systems
End-of-line test fixture design, automated test sequence development, HIL-based functional test, power quality and efficiency characterization, and reliability test protocol development. dSPACE and Typhoon HIL integration for real-time DSP validation.
From Prototype to Production
Full product engineering support from validated prototype to production release — BOM optimization, alternate sourcing, manufacturing process specification, first article inspection (FAI), and ongoing product sustaining engineering.
Every service delivered
on the AI platform.
Start with an Architecture Sprint.
Fixed scope, clear deliverables, 2–4 weeks. Technical evaluation of your design, proposed verification approach, and a clear roadmap to production sign-off.