Unlock the expertise trapped in your team.
A learning system for RF teams. Capture, synthesize, act, compound. Ask the same engine our enterprise customers use, right here.
Hi. Ask about how we capture the 'why' behind your HFSS work, or what it takes to deploy on-prem.
No. Model weights come into your environment. Your RF files never leave it.
Every retirement, every layoff, every reorg. Expertise leaks.
How RF engineering works today.
And why the paradigm is structurally failing.
A system designed for a workforce that stayed forty years and a tool stack that fit on one desktop. Eight primitive activities, each manual, each bottlenecked on a senior engineer being present.
Static artifacts
Files preserve what was built. The reasoning evaporates.
Tribal knowledge
Synthesis lives in heads. Transferred verbally, if at all.
Manual reconstruction
Finding past work costs more than redoing it. So engineers redo it.
Direct GUI action
Every procedure reinvented per project. Skills die at retirement.
Manual reporting
Engineers re-write work they already did. Pure overhead.
Bespoke version control
Provenance lost. Commits depend on someone's filing discipline.
Structural silos
Knowledge stays where it was created until a human moves it.
No learning loop
Mistakes recur. Successes don't propagate. The org forgets.
The paradigm isn't suboptimal. It's structurally incapable of compounding, and every paradigm that can't compound is eventually replaced by one that can.
Decks and notebooks decay. Your team's reasoning shouldn't.
From static artifacts to a living system.
We're not selling better software for the existing paradigm. We're replacing the paradigm.
Three primitives. One compounding system.
DesignForge: Build Better, Design Faster, Iterate Smarter.
The engineering-intelligence platform that captures how your team designs across every RF tool.
Forge Scribe
Passive RF design journaling. Turns everyday HFSS work into a queryable decision graph. Zero extra keystrokes.
Forge Code
Compiles RF engineers' own language into validated HFSS scripts. Pre-execution sanity checks. The script is the product.
Knowledge Enrichment
Captures the why at the moment of the decision. Builds a treasure chest of how we solve problems like this here, across projects and teams.
Intent in. Validated results out. Knowledge captured both ways.
Closed-Loop Workflow: Intent → Results.
Capture without execution is an archive. Execution without capture is a one-off. You need both in one loop.
- 01
Intent
Engineer states the design in natural language.
- 02
Setup
Forge Code compiles intent into readable PyAEDT, validated before HFSS launches.
- 03
Execute
HFSS runs. Forge Scribe records every sim, sweep, and branch as a structured timeline.
- 04
Interpret
Agent reads results, cross-references intent, and suggests the next move.
- 05
Report
One-click report: what was modeled, how it was simulated, results, why this design won, and what to try next.
BYOC. Optional on-prem. Nuitka-protected binaries.
Your RF knowledge stays on-prem.
On-prem by default
Journal and decision graph run inside your environment.
Your data is your IP
HFSS projects, scripts, captured decisions, and reports never leave your network. Accessible to your organization. The architecture keeps your institutional memory yours.
No training on your designs
DesignForge brings proprietary models from our cloud, trained on domain-specific RF knowledge. We don't train shared foundation models on customer data.
Trained on domain-specific RF knowledge. Not on customer data.
Tell us who you are.
We'll be in touch within 24 hours. Work email only. DesignForge is enterprise. We don't onboard individuals.