Platform

The AI Design
Platform.

Power Flux AI is not a services company. It is a platform company. The engineering services and workshops are the business model that funds the platform. The platform is what makes every subsequent design faster, cheaper, and smarter than the last.

~90
Days Concept→Prototype
30–40%
NRE Cost Reduction
11
US Patents Issued/Pending
35+
Years Encoded in Platform
The Core Thesis

Power electronics design has been
artisanal for 30 years.

Knowledge lives in people, not systems. Every project starts from scratch. $2M+ NRE per design with zero reuse. 18–36 month cycles that kill competitive advantage. The best engineers spend half their time rediscovering what has already been discovered.

Power Flux AI is building the systematic process that replaces this: AI-driven design automation, a proprietary design corpus built from 35+ years of validated engineering, and a digital twin infrastructure that deploys with every product and feeds data back into the platform. The platform gets smarter with every project.

"Power Flux AI is not building another inverter. We are building the operating system for power electronics design."

Traditional: 18–36 months, $2M+ NRE, zero reuse
Power Flux AI: ~90 days, 30–40% cost reduction, compounding reuse
Platform Architecture

Five layers.
One compounding system.

Each layer feeds the next. Knowledge captured becomes models. Models drive design. Designs become products. Products generate field data. Field data improves models. The loop closes continuously.

Layer 01
Knowledge Capture
35+ years of validated design knowledge encoded into structured data. Design rules, topology benchmarks, failure modes, thermal models, control parameters. Every project adds to the corpus. The platform knows what has worked — and what has not.
Design Rules DBBenchmark LibraryFailure Mode Library
Layer 02
AI Design Automation
AI models trained on the design corpus generate topology candidates, component selections, and initial parameter sets. Genetic algorithms optimize across thousands of variants. Neural networks predict thermal behavior and EMI emissions before simulation runs.
Genetic AlgorithmsNeural NetworksTopology Selection
Layer 03
Simulation Validation
GPU-accelerated full-system simulation validates AI-generated designs before any hardware is built. Electromagnetic FEA, thermal FEA, circuit simulation, control loop analysis, EMI pre-compliance, and IEEE 519 harmonic verification — all automated and integrated.
FEMM + Elmer FEMPLECS / ngspiceHIL Validation
Layer 04
Firmware Generation
AI-FOC motor control firmware generated from validated control models. TI TMS320F28388D and STM32 targets. FreeRTOS real-time OS. AI-assisted code generation reduces firmware development time from months to weeks. HIL-validated before first hardware build.
TMS320F28388DSTM32AI-FOC
Layer 05
Digital Twin & Field Loop
Physics-based digital twin deployed with every product. Real-time field data — thermal, electrical, mechanical — feeds back into the AI platform continuously. The platform learns from every unit in the field. Every subsequent design benefits from all previous deployments.
Python + InfluxDBCloud IoTContinuous Learning
Business Model

Engineering revenue funds
the platform. The platform scales.

Phase 1
Engineering Revenue

Consulting engagements and workshops generate immediate revenue and validate the platform with real customer problems.

Phase 2
Product Sales

Validated platform designs become manufacturable products sold to OEMs at 30–40% below European import pricing.

Phase 3
IP Licensing

Patent portfolio licensed to manufacturers and OEMs. Royalty streams from AI-FOC algorithms, topology innovations, and harmonic mitigation methods.

Phase 4
Platform Licensing

The full AI design platform licensed to engineering firms and OEM R&D teams. SaaS-model recurring revenue at scale.

Experience the platform.

Every Architecture Sprint and consulting engagement runs on the platform. Start there — see the difference that 35 years of encoded knowledge and AI-driven automation makes to your design cycle.