01|COMPATIBLE
Extend the high-fidelity baseline
BEST WHEN
You already have commercial CAE workflows and licenses
BYOLINPUT ASSETCOMMERCIAL CAECLOUD EXECUTIONHF BASELINETRUSTED OUTPUT
TRUSTED OUTPUT
A reusable high-fidelity baseline
PRODUCT 01 | GEWU ENGINEERING WORKSPACE
Push the Boundaries of Professional CAE with Engineering AI
GEWU brings solvers, elastic compute, and Engineering AI into one workspace—so CAE engineers can explore the design space, converge on the right answer, and validate it with confidence.
GEWU EXPLORATION LOOP
TASK | 13° WHEEL IMPACT SIMULATION
GEWU PRODUCT FILMSee GEWU run a complete professional CAE exploration
01 | PRODUCT DEFINITION
One engineering task. One complete engineering workspace.
GEWU keeps engineering context, compute, decisions, and validation evidence connected to the same task.
GEWUEngineering Workspace
02 | ENGINEERING WORKSPACE
Define, compute, decide, and validate in one continuous workspace
GEWU brings solvers, compute, Engineering AI, and governed execution into one engineering context—so the engineering loop keeps moving
ENGINEERING CONTEXT
Keep every CAE task connected end to end
ENGINEERING WORKSPACE
GEWU
The professional workspace for CAE engineers
CORE ENGINEERING LOOP
ITERATE CONTINUOUSLY01DefineSet the problem and boundaries
02ComputeExplore the design space
03DecideChoose the next step
04ValidateConfirm the conclusion boundary
ENGINEERING AI PLATFORM
Unified Engineering AI Platform
Integrated Modeling
Design Space Exploration
Engineering Models & Agents
Governance, Validation & Traceability
Traceable processReproducible tasksGoverned boundaries
Engineers work in one workspace while the full platform coordinates behind the scenes
Explore the Unified Engineering AI Platform03 | TASK WALKTHROUGH
See how a real CAE task moves through GEWU
Follow a 13° wheel-impact study from model intake through high-fidelity review and a supported conclusion.
01Connect
01
02
03
04
04 | EXPLORATION MODES
One engineering task. Choose the path that fits the goal.
Keep the high-fidelity baseline, explore at scale, or screen candidates before final validation.
TYPICAL RELAY PATH
High-fidelity baselineOpen-solving expansionPhysics AI screeningHigh-fidelity reviewNEXT EXPLORATION ROUND
Start with any mode, then relay as the task requires
05 | ENGINEERING EVIDENCE CHAIN
Turn every round of compute into evidence for a trusted conclusion
Keep sample coverage, directed convergence, and high-fidelity validation traceable and reproducible.
GEWU EVIDENCE CHAINEVIDENCE CHAIN / FORMINGEVIDENCE CHAIN / TRACEABLE
- DESIGN-SPACE COMPUTINGExpand sample coverage
- DIRECTED CONVERGENCEChoose the next simulations
- TRUSTED VALIDATIONConfirm the conclusion boundary
01 / SPACE
Expand coverage from a trusted baseline
Generate samples across variables, load cases, and candidate designs, turning one baseline result into a comparable body of evidence
02 / CONVERGENCE
Use the evidence to choose the next simulations
Engineering AI identifies patterns and evidence gaps, directing compute toward the unknowns with the highest information value
03 / VALIDATION
Return to high fidelity to confirm the boundary
Review error, confidence, and operating range across load cases before forming a trusted engineering conclusion
The evidence chain makes each conclusion defensible; GEWU keeps the chain running
06 | ENGINEERING EXPLORATION FRONTIERS
Move professional CAE beyond one-off solves and into continuous exploration
Elastic compute, open solvers, and Engineering AI turn isolated simulations into an ongoing exploration of the design space
01DESIGN SPACE
Explore more design possibilities
Evaluate more variables, load cases, and candidate designs together
02TARGET-DRIVEN
Design backward from the target
Search actively for feasible designs that meet target performance
03HYBRID METHODS
Combine multiple solving approaches
Bring together high-fidelity CAE, open methods, engineering data, and Engineering AI
04REAL-TIME RESPONSE
Move from discrete simulations to continuous prediction
Turn discrete results into fast, interactive predictions of physical behavior
TRUST FOUNDATIONKnow when a new capability can be trusted
Keep accuracy, variability, robustness, and operating range visible
ENGINEER IN CONTROL
Validation criteria | Operating boundary | Final decision
07 | PRODUCT CONTINUUM
Move from Exploration to Reusable Apps and Coordinated Execution
GEWU validates the method. LUBAN deploys it as an Engineering App. MOZI coordinates the work when the task needs sustained planning and checkpoints.
ONE ENGINEERING CAPABILITY | THREE PRODUCT ENTRIES
ENGINEERING CONTEXT STAYS INTACT
Validate conclusions and capture a Trusted Engineering Utility
Preserve the inputs, workflow, operating boundary, and engineering evidence
STANDARD ARTIFACT
Trusted Engineering Utility
Input boundary | validation rules | evidence chain
Package the capability as a Trusted Engineering App
Carry the Trusted Engineering Utility forward, then package, validate, and publish it
STANDARD ARTIFACT
Trusted Engineering App
Task contract | method version | acceptance criteria
Keep the task moving with a complete execution record
Maintain the task thread while coordinating engineering capabilities and human checkpoints
STANDARD ARTIFACT
Task Result & Execution Record
Goal & plan | human checkpoints | result & evidence
GEWU validates. LUBAN standardizes and deploys. MOZI coordinates and records.
A Trusted Engineering Utility can move directly into LUBAN for packaging as a Trusted Engineering App
START EXPLORING | OPEN GEWU
Bring Your Next CAE Task into GEWU
Start with a model, load case, simulation task, or engineering judgment
START WITH ANY ONEModel and load caseCommercial CAE licenseOpen-solver workflowHistorical results