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Solver Comparison
Compare commercial and open solvers on one baseline
PRODUCT 01 | ENGINEERING AI WORKBENCH
Help Professional Engineers Solve More Complex Problems
GEWU turns real engineering problems into computable solution spaces, explores them in parallel through Integrated Modeling, Design Space Exploration, and Engineering Intelligence, and captures trusted models, methods, and criteria as Engineering Apps.
TASK | 13° WHEEL IMPACT SIMULATION
GEWU PRODUCT FILMSee GEWU run a complete professional CAE exploration
Understand the Problem. Compute a Better Solution.
Bring models, data, and compute into one workbench to compare solutions, validate conclusions, and capture methods
Engineering context
Objects & modelsMaterials & conditionsGoals & criteria
GEWU · Engineering AI WorkbenchWORK-MODE DIAGRAM
- 01
Model the problem, reflect reality
Combine objects, physics, data, and constraints in a model that reflects real operating conditions
- 02
Explore alternatives, find better solutions
Explore parameters, conditions, and designs in parallel, comparing performance and trade-offs
- 03
Validate conclusions, capture methods
Test results against engineering criteria and capture models, workflows, and evidence as reusable methods and Apps
Key outcomesTrusted conclusions, validated methods, and Engineering Apps
Integrated Modeling, Design Space Exploration, and Engineering Intelligence support the engineer’s exploration and judgment
02 | ENGINEERING WORKSPACE
One Workspace for Three Forms of Professional Engineering Work
ENGINEERING CONTEXT
Complete Engineering Context
ENGINEERING WORKSPACE
GEWU
Three forms of professional work
02
Solution Exploration
Expand the design space and actively converge
03
Intelligence Training
Train professional intelligence for meshing, interpretation, and more
ENGINEERING AI PLATFORM
Unified Engineering AI Platform
Integrated Modeling
Design Space Exploration
Engineering Intelligence
Engineering Trust Framework
03 | TASK WALKTHROUGH
See Professional Capability Advance through One Real Task
The task baseline, solving process, result validation, and capability capture remain connected in one engineering context.
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04 | TWO SOLVING PATHS
One Engineering Baseline, Two Connected Solving Paths
Compatible Mode preserves the commercial CAE high-fidelity baseline; Native Mode combines open CAE with elastic HPC to expand exploration. Both produce trusted data that trains real-time capability.
SYSTEM TRAINING LOOP
Trusted Data Continuously Trains Real-Time Capability
Automatic trainingEngineer acceptanceReal-time invocation
05 | DESIGN SPACE EXPLORATION
Move from One-Off Solving to Continuous Exploration
Expand the design space from a high-fidelity baseline, converge actively on better solutions, and validate the operating boundary
GEWU DESIGN SPACE EXPLORATIONEXPLORATION / RUNNINGEXPLORATION / VERIFIED
01 / EXPAND
Expand the Design Space
Cover more combinations of variables, conditions, goals, and constraints
02 / CONVERGE
Converge on Better Solutions
Keep directing compute toward higher-value candidates
03 / VALIDATE
Validate Result Boundaries
Return to the high-fidelity baseline to confirm accuracy and operating range
06 | CAPABILITY SHIFTS
Four Capability Shifts for Professional CAE
SHIFT 01
Single SolveIntegrated Comparison
Compare multiple methods on one engineering baseline
SHIFT 02
Single PointFull Design Space
Move from one candidate to the full design space
SHIFT 03
Forward ValidationTarget-Driven Design
Search for feasible designs around target performance
SHIFT 04
Discrete ComputeContinuous Prediction
Train simulation samples into interactive physical response
High-Fidelity Baseline | Engineering Judgment | Operating Boundaries
07 | CAPABILITY CAPTURE
Turn One Professional Breakthrough into Reusable Capability
Capture validated methods, workflows, rules, and intelligence as Engineering Apps and professional Engineering AI capabilities
METHOD
METHOD CAPTURE
Release an Engineering App
Organize a validated method, task flow, and acceptance rules as a standard capability
Preferred methodTask flowAcceptance rules
Engineering App
INTELLIGENCE
INTELLIGENCE CAPTURE
Create Professional Engineering AI
Train professional intelligence through engineer demonstration, correction, evaluation, and acceptance
Engineer demonstrationCorrection & evaluationEngineer acceptance
Professional Engineering AI
CAPABILITY FLOW
Engineering Apps Enter LUBAN for Runtime at Scale
Professional Engineering AI enters Engineering Apps and MOZI to keep creating value
08 | PRODUCT COLLABORATION
LUBANPublish proven Apps so methods serve more tasksMOZIBring proven capability into complex tasks and receive feedback
Exploration, runtime, and task feedback can each drive capability updates
START USING GEWU
Bring a Real Engineering Problem into GEWU
Start with solver comparison, solution exploration, or intelligent training