JITX - Software-defined electronics

Python-based design for high frequency boards

AI writes the code. HFSS validates. Runs on your hardware.

JITX runs on your local computer to turn requirements, stackups, SI targets, and manufacturing rules into design code your team can inspect and compile.

Your approved AI edits that code while JITX generates schematics, board structures, dispatches HFSS simulations, and runs checks.

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HFSS in the loop

JITX sets up ports, sweeps, boundaries, and metrics from requirements, then feeds the results back into the next code edit. Here optimizing a 56 GHz Nyquist PCIe-gen7 BGA launch and deskew to -30dB return loss, and -40dB common to differential mode conversion. The optimization needed 5 total HFSS simulations.

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Requirements become Python

Express requirements, constraints, stackups, and engineering rules in Python. AI proposes edits. Engineers can read, review, and run the code.

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Manufacturing rules stay in the design

Stackups, material effects, vias, clearances and your proprietary tradecraft are encoded in the local design files while JITX generates routing, fencing, pin assignments, and schematic output.

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HFSS setup eats the schedule.

High-frequency board designs are at risk when setup cost (and waiting for CAD data) control the schedule. Engineers spend days preparing HFSS studies, layout markup, and rule handoffs, then only have time to try a few structures.

AI copilots can draft answers, but they stop short of production level design, not helping with high performance geometry, HFSS setup, manufacturable routing, and customer rule checks. More CAD seats do not multiply your best SI engineers.

"There's no other path to pulling that schedule in right now. You can't buy more seats of the existing layout tool to get it done."

Aerospace customer

Optimize by generating layouts from code

Your approved AI writes and revises Python. JITX supplies the design primitives, routing solvers, HFSS interface, schematic generation, pin assignment, fencing, and stabilization that the AI cannot build on its own.

JITX runs on your infrastructure with your approved AI. Requirements, stackup rules, fab constraints, and in house knowledge stay in the local design. Workflows expand to model fiber weave, oxide, surface roughness, and other manufacturing effects.

From requirements to validated design.

Requirements become Python. The AI edits the code. JITX generates a candidate design. HFSS, or your own rule checker evaluates the result. The next edit starts from measured data, not guesswork. This general loop expands to many domains, including SPICE, power, thermal, etc.

"The time and effort to complete this cycle was greatly reduced. That meant more engineering brain-power could be invested in other parts of the design."

Joshua Pearson
Director of Engineering
Honeywell Aerospace

Test JITX on your design

Bring a structure to optimize, we'll show the optimization loop running on your compute, using your approved internal AI models.

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Trusted by Honeywell Aerospace, Lockheed Martin, and OpenAI.

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