AI Transformation for Simulation Engineering

Powered by engineering excellence — the rare combination of deep electromagnetic simulation expertise and frontier AI engineering. We design, build, and maintain AI agents that run your real workflows — CAD to simulation to customer-ready datasheet — inside the solver stack your team already uses.

Built by PhDs in electromagnetics and applied mathematics who write automation code every day.

Free scoping consultation · NDA before we see anything · Pilot running in weeks, not quarters

Ansys Electronics DesktopDassault CSTOther solversComing Soon
AerospaceDefenseTelecomSemiconductorAutomotiveAdvanced Hardware

The Compute Is No Longer the Limiting Factor. The Manual Work Is.

Not moonshots — bottlenecks

The best AI use case isn’t the problem your team never cracked. It’s the simulation setup, sweep, and report your engineers repeat for the tenth time this month. We find those workflows and remove them.

Expertise trapped in few hands

Complex EM setups depend on a handful of senior engineers — many nearing retirement. We encode their process as reviewable, versioned workflows any agent, and any junior engineer, can execute with the same rigor. The expertise stays when they go.

1.5 h
Unattended run replacing an engineer-day of solver work
20+
Full-wave design candidates explored per run
0
Setups done by hand — agents do the clicking, engineers review the results

From a production pilot with an antenna-in-package manufacturer — walk through it below ↓

The Problem, in Engineers’ Own Words

From 80+ interviews with RF and simulation engineers across aerospace, telecom, semiconductors, and medical devices.

“I spent 3 hours manually fixing an asymmetric mesh — then gave up for the day.”

RF engineer, medical-device startup

“Waiting 10 hours and then nothing. That’s an entire day lost.”

Antenna engineer, wireless hardware company

“A lot of the RF experts are baby boomers — we are going to lose a lot of these people.”

Engineering leader, aerospace & defense

What We Do

End-to-end AI automation for simulation-driven engineering teams — done for you, or built with your engineers so your team owns it.

Agentic Workflow Development

We take a workflow you already run — spec to simulation to report — and turn it into an AI agent that runs it end to end, unattended, with every step logged and reviewable.

  • Automated geometry, meshing, and setup
  • Optimization loops with verified results
  • Auto-generated customer-facing reports
  • Integration with CAD, PLM, and your pipeline

Integration & Deployment

AI automation deployed inside your solver environment and your security perimeter — tested, validated, and maintained as vendor releases ship.

  • Enterprise solver environment setup
  • On-premises or private deployment
  • Security and compliance configuration
  • We carry the maintenance burden

AI Enablement for Engineering Teams

Your engineers build the automation themselves — on our platform and domain primitives — so you capture the capability without carrying the maintenance burden alone.

  • Hands-on automation workshops
  • Build on our solver-integration layer
  • Playbooks, documentation, and mentorship

Dedicated RF & EM Engineering

Deep electromagnetic expertise on demand — for complex simulations, wireless system modeling, and trusted subcontracting on third-party projects.

  • Antenna, MIMO, and multi-user network studies
  • Ray-traced propagation with Ansys SBR+
  • OFDMA and link-level KPI extraction (SINR, capacity, BLER)
  • Complex simulation troubleshooting & custom algorithms
Explore our wireless system workflows →

Product ID In. Optimized Design and Datasheet Out.

A manufacturer of configurable antenna-in-package modules needed every customer configuration verified, optimized, and documented in Ansys HFSS — an engineer-day of expert work per part. We encoded their process as an agent-run workflow.

Alongside this pilot, we are delivering a milestone-gated automation program for the RF systems team of a Fortune-100 consumer-electronics manufacturer — invoiced against acceptance criteria, not hours.

The workflow became a skill — data, not code

Their engineers’ process, written once as a reviewable document the agent follows: load the right catalog model, set targets from the customer spec, optimize only within manufacturer-approved bounds, verify the winner, and generate the datasheet.

No scripting project. No brittle integration.

One unattended run, end to end

Baseline solve, KPI check against spec, Bayesian optimization over approved parameters, re-solve of the winning candidate, and a customer-facing datasheet — patterns, gain, matching, efficiency — with zero hand-editing.

Sequence diagram: Bayesian optimizer, agent, and HFSS working the optimization loop
~1.5 hours, unattended, per configuration

Every run leaves a paper trail

Every solve, variable change, and decision is logged. Each run keeps its request, decision log, and working solver project on disk — replayable and reviewable. Optimization their engineers can defend.

Workflow workspace file tree: catalog, requirements, skill, and one folder per run
Single run file tree: request, decision log, argument files, and the working HFSS project
Full audit trail, replayable after the fact

Where it goes: every customer request, automated

The pilot automates one workflow. The end state is a fleet: every incoming customer configuration handled the same way — engineers set the targets and sign-off gates while agents fan out across products, specs, and what-if studies, keeping every solver seat busy.

An engineering team supervising a fleet of agents across HFSS seats

How We Work

1

Discovery

We map your current workflows and find the highest-impact automation target — the work your engineers repeat most. Free, under NDA.

2

Pilot

We embed with your team and encode one workflow you already run — weekly working sessions, about an hour of your engineers’ time per week. You judge the results against your own acceptance criteria.

3

Deploy

The automation moves into your environment — your security perimeter, your solvers, your data — with testing and validation before anything touches production work.

4

Scale & Support

From one workflow to a fleet: engineers set direction and review while agents fan out across products, specs, and what-if studies. We maintain it as your solvers evolve.

Why Divergent Physics

01

Engineers, Not Career Consultants

Founded by three PhDs in electromagnetics and applied mathematics, with industry experience at companies including Apple and Ansys. The people on the call are the people in the code. Meet the team →

02

Your IP Stays Yours

NDAs before we see anything. Work runs inside your secure environment with isolated compute — designs and simulation data never leave your infrastructure.

03

Solver-Native, Maintained Forever

We build on official vendor APIs and licensing — Ansys HFSS and Electronics Desktop today, CST as we expand — and we track solver version drift so delivered automation keeps working release after release.

04

Validated by RF Teams

Developed and battle-tested with RF engineers across aerospace, telecom, defense, and advanced hardware companies — in production environments, not slide decks.

Built on Our Own Platform

Every engagement is delivered on the agent platform we build and maintain — the RF and EM understanding layer that turns a request into a correct simulation. Prefer self-serve? Run the same agents yourself.

S-parameter comparison across design variations in the Divergent Physics app

S11 compared across design variations — generated from a natural-language request against a live HFSS project.

Questions Engineering Leaders Ask First

Can this run air-gapped?

Yes. Deployments run on-premises inside your security perimeter, including fully local LLM inference — no design data, geometry, or results leave your network.

Who owns what we build?

You own the workflows, code, and deliverables produced for your designs. We retain the underlying platform. Every engagement is scoped that way in writing, up front.

What happens when the next solver version ships?

We track vendor releases and integration drift as part of the engagement, so the automation keeps working — that maintenance burden is ours, not your engineers’.

How do you charge?

Milestone-gated, fixed-scope phases with acceptance criteria you define. A milestone passes, an invoice releases. No open-ended hourly billing — and for ongoing support, a monthly retainer is available.

Bring Us the Workflow Your Engineers Hate Repeating

In one call we’ll tell you whether it’s automatable, what a pilot looks like, and what it would save you. No slideware — we show you a real workflow running.

Book a Consultation

30 minutes with the engineers who will actually build your automation.

Not ready for a call? Describe your workflow and we’ll reply within 24 hours.

Free initial consultation

NDA-friendly from the first call

Pilot scoped in weeks, not quarters