Inverter
Development.
Full-stack: power stage, gate drive, control, and firmware. SiC / IGBT / AFE-integrated. IEEE 519 harmonic compliance built into the architecture — no external filters, no add-ons. 0.5 kW to 500 kW.
"The AFE and inverter are co-designed as a single integrated system — not assembled from discrete blocks. Power quality is built into the architecture, not patched in with add-ons. This eliminates external harmonic filters, significantly reduces footprint, and improves system-level efficiency. No incumbent currently offers this solution."
Every topology.
IEEE 519 built in.
High-Frequency SiC MOSFET
3rd-generation SiC MOSFET inverters at 16–40 kHz switching. Low switching losses, high efficiency, compact thermal design. Ideal for HVAC, chiller, EV, and high-performance industrial drives.
Active Front End — Integrated
Active Front End co-designed with the inverter as one system. THDi <3–5% at rated load. No external harmonic filters. Bidirectional power flow. Ideal for compressor drives, regenerative systems, and grid-connected applications.
Industrial IGBT Platforms
Cost-optimized IGBT-based inverters for general industrial drives, pumps, fans, and compressors. Full AI-FOC control, field weakening, MTPA optimization. 0.5 kW to 500 kW.
Power stage to production firmware.
Complete.
Power Stage Design
SiC/IGBT selection, gate drive circuit, DC bus design, film capacitor selection, snubber design, thermal management — refrigerant, liquid, or air-cooled.
Control System
AI-Enhanced Field-Oriented Control (AI-FOC), sensorless control with HF injection, field weakening, MTPA optimization, adaptive harmonic compensation.
Embedded Firmware
TI TMS320F28388D (C2000) or STM32 DSP firmware. FreeRTOS real-time OS. AI-FOC control loops at 16–32 kHz. Generated from validated control models.
PCB Layout
Multi-layer high-power PCB with EMI-controlled routing. KiCad-based. AI-assisted layout from validated schematics. EMI pre-compliance verified before fabrication.
Compliance
IEEE 519-2014, IEC 61000-3-12, UL 61800-5-1, UL 61800-5-2, SIL2. Automated compliance checking embedded in the AI design workflow.
Digital Twin
Real-time digital twin deployed with the product. Python + InfluxDB + cloud IoT monitoring. Field data feeds back into the AI platform for continuous improvement.
Start your inverter project.
Start with an Architecture Sprint — 2–4 weeks, fixed scope, clear deliverables. Technical evaluation, proposed architecture, preliminary simulation results, and prototype roadmap.
Book an Architecture Sprint →