YUANSUAN | ENGINEERING AI PLATFORM
Make Real Engineering ProblemsModelable, Explorable, and Executable
Turn one real problem into a solution space explored in parallel, so every computation produces experience within trusted boundaries.
Three systems expand engineering capability together
Make more engineering problems solvable and better solutions reachable
XExpression rangeStructure · Materials · Loads · Data
YExploration scaleParameters · Conditions · Designs
ZTask complexityUnderstand · Plan · Invoke
Engineering Trust
Grounded modelsTraceable processesVerifiable results
02 | ENGINEERING LOOP
How the Three Systems Complete One Engineering Task Together
One engineering context connects problem definition, modeling, exploration, decisions, and learning.
01
Define the Problem
Objects, conditions, goals, and constraints
LEADEngineering Intelligence｜Understand goals and constraints
02
Build the Model
Turn real objects into computable models
LEADIntegrated Modeling｜Build computable models
03
Explore in Parallel
Expand, compare, and converge candidate solutions
LEADDesign Space Exploration｜Compare and improve options
04
Validate the Result
Verify results and build engineering evidence
LEADIntegrated Modeling｜Check models and results
SUPPORTDesign Space Exploration｜Validate options and convergence
05
Evolve Capability
Strengthen models, methods, knowledge, and evidence
LEADEngineering Intelligence｜Retain knowledge and methods
Engineering Trust System
03 | LONG-TERM TECHNOLOGY ACCUMULATION
Today's Platform Capability Comes from Five Stages of Continuous Accumulation
Each stage remains as the technical foundation for the next, ultimately converging into three systems and an engineering trust framework.
01
Cloud Engineering Compute
BREAKTHROUGHHPC and commercial CAE enter a stable, schedulable, and governable cloud runtime.
ASSETEngineering Compute Foundation
02
Independent Solving Algorithms
BREAKTHROUGHOpen solver kernels, parallel optimization, and cross-tool validation establish solver autonomy.
ASSETIndependent Solver Core
03
Scenario-Based Applications
BREAKTHROUGHDigital twins and Engineering Apps connect objects, data, workflows, and expert methods.
ASSETScenario Capability Assets
04
Intelligent Engineering Modeling
BREAKTHROUGHPhysics AI connects physics, data, and multiple solvers in engineering models.
ASSETIntelligent Modeling Paradigm
05
Systematized Engineering Capability
BREAKTHROUGHAccumulated capabilities are orchestrated, governed, and validated on one platform.
ASSETEngineering AI Platform
Converges Into
01Integrated Modeling
02Design Space Exploration
03Engineering Intelligence
04Engineering Trust Framework
Evidence of Accumulation
143Granted invention patents
CMMI Level 5Development process maturity
ISO 27001 · MLPS Level 3Security and compliance
04 | PRODUCTS AND SOLUTIONS
How the Technology Foundation Becomes Engineering Value
SOLUTION COMPOSITIONYUANSUAN Solutions
Real Engineering GoalsCompose Product CapabilitiesDeliver Results and Evidence
GEWU
Engineering AI Workbench
ExploreValidateCapture
LUBAN
Engineering App Platform
DiscoverComposeRun
MOZI
Engineering Agent
UnderstandPlanAdvance
TECHNOLOGY FOUNDATIONThree Core Systems
Integrated ModelingDesign Space ExplorationEngineering Intelligence
Engineering Trust SystemAcross the foundation, products, and solutions
05 | REAL TASK VALIDATION
Validate Platform Capability with a Real Engineering Task
Start from goals, constraints, and acceptance criteria to produce reproducible results and complete engineering evidence.
01Define the Task BoundaryGoals · Constraints · Acceptance
02Run the Validation TaskModel · Explore · Verify
03Reach a Validation ConclusionResults · Evidence · Applicability