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PRODUCT 01 | GEWU ENGINEERING WORKSPACE

Take professional CAEto the next frontierwith Engineering AI

GEWU brings solvers, compute, and engineering foundation models into one continuous workspace—so CAE engineers can explore the design space, converge on the right answers, and validate them with confidence

Preview of the GEWU engineering workspace product film
TASK | 13° WHEEL IMPACT SIMULATION
GEWU PRODUCT FILMSee GEWU run a complete professional CAE exploration
See GEWU run a complete professional CAE exploration
01 | PRODUCT DEFINITION

One engineering task. One complete engineering workspace.

GEWU keeps engineering context, computation, decisions, and validation evidence connected to the same task

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

ProjectModelConditionTaskResultEvidence

ENGINEERING WORKSPACE

GEWU

The professional workspace for CAE engineers

CORE ENGINEERING LOOP

ITERATE CONTINUOUSLY
01DefineSet the problem and boundaries
02ComputeExplore the design space
03DecideChoose the next step
04ValidateConfirm the conclusion boundary

ENGINEERING AI PLATFORM

Unified Engineering AI Platform

Solver System
Compute Platform
Engineering Foundation Model
Trusted Execution Control Plane
Traceable processReproducible tasksGoverned boundaries

Engineers work in one workspace while the full platform coordinates behind the scenes

Explore the Unified Engineering AI Platform
03 | TASK WALKTHROUGH

See how a real CAE task moves through GEWU

Follow a 13° wheel-impact study from engineering-context intake through high-fidelity review and a trusted conclusion

GEWU Bring in the engineering context interfaceGEWU Prepare the model with AI assistance interfaceGEWU Run on elastic HPC interfaceGEWU Review, validate, and capture interface
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04 | EXPLORATION MODES

One engineering task. Choose the path that fits the goal.

Preserve the high-fidelity baseline, explore the design space at scale, or quickly screen the candidates worth validating

01COMPATIBLE

PRESERVE

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

02NATIVE

EXPAND

Expand the computable design space

BEST WHEN

You need to explore a large design space at scale

OPEN SOLVERDESIGN SPACE

TRUSTED OUTPUT

Traceable design-space samples

03REAL-TIME

ACCELERATE

Screen candidates worth high-fidelity review

BEST WHEN

You need frequent predictions across a large candidate space

PHYSICS AIHF REVIEW

TRUSTED OUTPUT

Priority candidates confirmed by high-fidelity review

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

From sample coverage and directed convergence to high-fidelity validation, keep the entire exploration traceable, reviewable, and reproducible

GEWU EVIDENCE CHAINEVIDENCE CHAIN / FORMINGEVIDENCE CHAIN / TRACEABLE
  1. DESIGN-SPACE COMPUTINGExpand sample coverage
  2. DIRECTED CONVERGENCEChoose the next simulations
  3. 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

From trusted conclusions to trusted capabilities to accountable execution

GEWU captures a Trusted Engineering Utility. LUBAN builds and runs it as a Trusted Engineering App. When a task needs persistent planning, coordination, and checkpoints, MOZI carries it forward.

ONE ENGINEERING CAPABILITY | THREE PRODUCT ENTRIES

ENGINEERING CONTEXT STAYS INTACT

01 / Engineering Workspace

GEWU

CURRENT

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

02 / Engineering App Platform

LUBAN

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

03 / Engineering Task Agent

MOZI

Keep the task moving and preserve an accountable 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 makes conclusions trustworthy. LUBAN makes capabilities trustworthy. MOZI makes complex-task execution controlled and auditable.

A Trusted Engineering Utility can move directly into LUBAN for packaging as a Trusted Engineering App

START EXPLORING | OPEN GEWU

Bring your next testable engineering idea 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