CAE Consulting · CAE Services · Engineering Automation
Computational Autonomous
Engineering Systems
We combine CAE expertise, workflow automation and AI to transform manual, fragmented engineering processes into intelligent, automated and increasingly autonomous engineering systems.
For simulation, engineering and R&D organizations in automotive, aerospace and industrial engineering.
01 — What we do
Engineering workflows, treated as systems
Most simulation capacity is not lost in solving — it is lost before it: in geometry repair, meshing, model assembly and data handling that repeat from project to project. We analyze that work, execute it, codify it and automate it.
Business area 01
CAE Consulting
Analysis and redesign of CAE processes: workflow optimization, automation strategy, CAD/CAE data strategy, toolchain architecture and AI roadmaps for engineering.
Explore consulting →Business area 02
CAE Services
Hands-on execution: geometry preparation, meshing, FE model build-up, model QA — plus the scripting and batch automation that removes the repetitive share of it.
Explore services →Direction
Autonomous Engineering
The technology direction behind both: codified workflows, AI assistance and — step by step — agentic engineering systems under human supervision.
The vision, honestly staged →02 — Why it matters
Typical engineering realities — and how we answer them
Challenge 01
Preprocessing consumes the schedule
Geometry cleanup, meshing and model assembly absorb the majority of simulation lead time — largely on work that repeats from project to project.
Our answer
Codify the workflow
We turn implicit modeling practice into explicit, checkable procedures — the precondition for both quality and automation.
Challenge 02
CAD data arrives unfit for simulation
Every release triggers the same manual repair loop because there is no defined quality gate between design and simulation.
Our answer
Automate the repeatable
Scripted checks, batch pipelines and template-driven meshing remove the repetitive share of preprocessing work.
Challenge 03
Workflows depend on individuals
Modeling knowledge lives in the heads of experienced engineers. When they are unavailable, throughput and quality drop with them.
Our answer
Fix data at the source
CAE-oriented CAD quality criteria and validation gates reduce repair work before it exists.
Challenge 04
Tools don’t talk to each other
Preprocessors, solvers and data systems are connected by manual exports and ad-hoc scripts that break silently.
Our answer
Integrate the toolchain
Defined interfaces and automation hooks replace manual exports — commercial and open-source components on equal technical footing.
Challenge 05
AI ambitions lack a foundation
AI initiatives stall because workflows are neither standardized nor automated — there is nothing consistent for intelligence to attach to.
Our answer
Introduce AI where it holds
On standardized, automated workflows, AI assistance and agentic execution become an engineering upgrade instead of a demo.
03 — The path
From consulting to autonomous engineering
One coherent path, honestly staged: what we deliver today funds and informs what we build next. Labels mark what exists, what is in development and what is vision.
01
CAE Consulting
Understand & design
Analyze CAE processes, data flows and toolchains. Design target workflows and automation roadmaps grounded in how the work is actually done.
Today02
CAE Services
Execute & codify
Execute demanding preprocessing and model-preparation work at production quality — and codify each workflow into repeatable, scriptable procedures.
Today03
CAE Automation
Automate the repeatable
Turn codified workflows into scripts, batch processes and pipelines that remove repetitive engineering work and stabilize quality.
Today04
AI-Assisted CAE
Add intelligence
Introduce AI where it measurably helps: model checking, geometry classification, setup suggestions, knowledge retrieval — always under engineering review.
In development05
Agentic & Autonomous CAE
Supervised autonomy
Engineering agents that plan and execute preprocessing and simulation workflows end-to-end, with continuous validation and humans supervising the loop.
Vision
04 — Where we work
Simulation-intensive industries
Wherever model volumes are high and modeling standards are strict, workflow codification and automation pay off fastest.
Automotive & Mobility
High model volumes, tight release cycles and strict modeling guidelines — the environment where preprocessing automation pays off fastest.
Aerospace
Certification-grade modeling discipline, complex assemblies and long product lifecycles that demand reproducible, documented workflows.
Industrial Engineering
Machinery, plant and equipment simulation with diverse model types, where standardization and tool integration unlock capacity.
Suppliers & Engineering Services
Tier-1s and engineering service providers under cost pressure, for whom automated preprocessing is a direct competitive lever.
05 — Why CAE Systems
A services company engineered like a technology company
Automation-first DNA
Every consulting recommendation is written to be executed; every service we perform is codified toward automation. We are building toward systems, not billing toward hours.
Workflow depth, not tool allegiance
We work at the level of your workflows and data, across commercial and open-source CAE tools — and integrate what you already own before recommending anything new.
Honest about AI
We distinguish plainly between what automation and AI can carry today, what we are developing, and what remains vision. That discipline is on every page of this site.
One accountable path
Consult → Assess → Automate → Implement → Scale: analysis leads to execution, execution leads to automation — with the same team accountable across the path.
Where does your CAE workflow lose the most time?
Tell us how your simulation work runs today. We respond with a technical perspective on what could be standardized, automated or improved — and a concrete first step.