AIPE · AI for Power Engineering

The open engineering hub for power and energy.

Discover, share and run engineering data, models, designs and AI workflows.

Try: SiC Buck Magnetics LTspice Schematic DAB

Industry artifacts
22
Academy lessons
13
Engineering articles
34
Engineering domains
7
One open platform

Learn. Build. Explore.

Learn what we know. Build what we need. Explore what we don’t yet know.

  1. LEARN · ACADEMIA

    Education

    Learn established engineering knowledge in AIPE Academy, from first principles to advanced power engineering.

    13 lessons on a staged path, with open labs

    Explore Education →
  2. BUILD · INDUSTRY

    Industry

    Discover and use open engineering data, models, tools and workflows to build real applications.

    22 artifacts, each with its maturity stated

    Explore Industry →
  3. EXPLORE · ACADEMIA

    Research

    Exploring what engineering could become in AIPE Frontiers: emerging concepts, theoretical possibilities and unconventional approaches.

    2 research topics, each labelled with its evidence

    Explore Research →
AIPE Plugin

Use AIPE from your coding agent.

Bring AIPE data, engineering tools, simulation skills and design workflows into Codex, Claude Code or another coding agent, and work inside your own project.

Available now without installing anything. Coming next: an installable AIPE Plugin.

Explore AIPE Plugin
The AI that designs the power systems that power AI

Closing the AI–power design loop.

AI helps engineers design better power and energy systems, and those systems power the AI that comes next. Every project that learns, designs and validates in the open leaves better data, models and designs for the next one.

  1. 01Learn

    Understand the principles and what they mean in real engineering.

  2. 02Design

    Work with AI-assisted tools, engineering data and reference designs.

  3. 03Simulate & validate

    Check the design with simulation and calculation before building it.

  4. 04Build & measure

    Turn the design into real hardware and measure how it performs.

  5. 05Share & improve

    Return data, models and lessons to AIPE for the next engineer.

Every cycle makes the next design a little better.