YUANSUAN｜ENGINEERING AI PLATFORM

One Engineering AI Platformfor Solving, Runtime, and Intelligence

Unify engineering solving, scalable runtime, and intelligent execution so every capability is executable, verifiable, and reusable in real workflows

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Three Core Systems

SOLVING × RUNTIME × INTELLIGENCE

01 / SOLVINGEngineering SolvingMake real engineering computable 02 / RUNTIMEScalable RuntimeRun complex engineering work reliably at scale 03 / INTELLIGENCEEngineering IntelligenceTurn engineering goals into executable work

01 | PLATFORM ARCHITECTURE

Three Core Systems. One Engineering AI Platform.

Solving, runtime, and intelligence work as one—from model setup through trusted execution

UNIFIED ENGINEERING AI PLATFORM

Unified Engineering AI Platform

One control plane for tasks, data, models, knowledge, workflows, runtime environments, and evidence

01/Engineering Solving

Engineering Solver System

ENGINEERING SOLVER SYSTEM

Makes real-world engineering problems computable

Hybrid Engineering Solver

HYBRID ENGINEERING SOLVER

Model｜Solve｜Check｜Validate

02/Scalable Runtime

Engineering Runtime System

ENGINEERING RUNTIME SYSTEM

Runs complex engineering work reliably at scale

Scalable Runtime Kernel

SCALABLE RUNTIME KERNEL

Orchestrate｜Schedule｜Execute｜Govern

03/Engineering Intelligence

Engineering Intelligence System

ENGINEERING INTELLIGENCE SYSTEM

Turns engineering goals into executable work

Large Engineering Model

LARGE ENGINEERING MODEL

Understand｜Reason｜Plan｜Orchestrate

Shared Platform ServicesSHARED PLATFORM SERVICES

01Engineering TasksTASK SERVICE

02Engineering ContextCONTEXT SERVICE

03Identity & AccessIDENTITY SERVICE

04Capability RegistryCAPABILITY REGISTRY

05Engineering EvidenceEVIDENCE SERVICE

06Version ControlVERSION CONTROL

Engineering Capability, Systematized

SYSTEMATIZED ENGINEERING CAPABILITY

01Frame the WorkTurn engineering intent into structured tasks

02Plan the PathOrchestrate methods, tools, and constraints

03Run at ScaleSchedule tasks and resources reliably

04Verify and ReuseTurn results and evidence into reusable assets

02 | ENGINEERING SOLVER SYSTEM

Engineering Solving: Make Real-World Problems Computable

Turn geometry, physics, boundaries, and acceptance criteria into models that can be solved and verified

ENGINEERING SOLVER SYSTEM

Engineering Solver System

One system for engineering objects, solving strategies, execution paths, and validation

CORE TECHNOLOGY

Hybrid Engineering Solver

HYBRID ENGINEERING SOLVER

Selects and orchestrates the right paradigm for the problem, constraints, fidelity, time, and data available

Define the Problem

geometry, boundaries, physics, scale

Assess Constraints

accuracy, time, cost, data

Choose a Strategy

Commercial CAE | Open CAE | Physics AI

Orchestrate the Path

tasks, solvers, validation, compute

Close the Loop

error, cost, applicability

01/Mechanistic

Mechanistic Solving

High-fidelity multiphysics simulation

MethodsFEACFDHydrodynamicsMultiphysics

Execution LoopCommercial CAEOpen solversValidated workflows

02/Data-Driven

Data-Driven Solving

Fast prediction and learned models

MethodsROMSurrogatesOperator LearningData Assimilation

Execution LoopTraining and inferenceVersioned dataResult checks

03/Hybrid

Hybrid Solving

Physics, data, and optimization together

MethodsPhysics + dataMulti-fidelityAdaptive solvingAI-assisted solving

Execution LoopDOE/MDOMethod orchestrationValidation feedback

Trusted Solving

TRUSTED ENGINEERING SOLVING

01Problems ModeledRepresent real engineering in computable form

02Paths SelectedChoose and combine methods against constraints

03Results VerifiedClose the loop on accuracy, error, and evidence

04Strategies ReusedCapture applicability and validation as reusable strategy

03 | ENGINEERING RUNTIME SYSTEM

Runtime at Scale: Run Engineering Work Reliably

Turn one solving path into orchestrated, recoverable, reproducible jobs—and compound experience with every run

ENGINEERING RUNTIME SYSTEM

Engineering Runtime System

One system for runtime environments, orchestration, compute, and execution governance

Single Solving Path

From the Engineering Solver System

CORE TECHNOLOGY

Scalable Runtime Kernel

SCALABLE RUNTIME KERNEL

1 solving path → N production-ready jobs

Assemble the environment, bind the data, and schedule the compute

Concurrent Job Pool

Load cases | designs | parameters

Task Orchestration

Resource Scheduling

Parallel Execution

Runtime Governance

RUNTIME FOUNDATION

Runtime Environments

Assemble the software and tools each task needs

CAE and SolversContainers and DependenciesLicenses and Access

Compute Resources

Match each task to the right compute

CPU and HPCGPU and AICloud and Hybrid Compute

Data Context

Bind the engineering and live data each run needs

Engineering DataSensor StreamsLive System State

Reliable Runtime at Scale

RELIABLE ENGINEERING RUNTIME

01Work OrchestratedExpand complex tasks into stable job graphs

02Compute ScheduledMatch every job to the right resources

03Runs RecoveredResume interrupted work without starting over

04Results ReproducedPreserve environments, inputs, and versions

04 | ENGINEERING INTELLIGENCE SYSTEM

Engineering Intelligence: Turn Goals Into Executable Work

Ground reasoning in engineering context, plan against real constraints, and orchestrate work that is executable, reviewable, and traceable

ENGINEERING INTELLIGENCE SYSTEM

Engineering Intelligence System

One system for engineering context, reasoning, capability calls, and task evidence

CORE TECHNOLOGY

Large Engineering Model

LARGE ENGINEERING MODEL

Ground reasoning in engineering objects and constraints, then plan and orchestrate the work

01/Engineering Input

ENGINEERING CONTEXT UNDERSTANDING

Engineering Context

Ground the task in objects, physics, conditions, data, goals, and constraints

ObjectsPhysicsOperating ConditionsDataGoalsConstraints

02/Reasoning Kernel

ENGINEERING REASONING AND PLANNING

Engineering Reasoning and Planning

Break down goals, reason over constraints, and build an executable plan

Task BreakdownMethod SelectionTool MatchingConstraint ReasoningExecution PlanAcceptance Criteria

03/Task Output

ENGINEERING TASK ORCHESTRATION

Engineering Task Orchestration

Turn the plan into executable, reviewable engineering work

Engineering UtilitiesEngineering AppsSolver SystemRuntime SystemHuman ApprovalEvidence Generation

Callable Engineering Intelligence

CALLABLE ENGINEERING INTELLIGENCE

01Work GeneratedEngineering goals become executable task chains

02Calls TracedEvery model, tool, and platform call is recorded

03Results ReviewedConclusions, evidence, and process stay reviewable

04Experience ReusedMethods and evidence become reusable assets

05 | SIX ENGINEERING AI CAPABILITIES

Three Systems. Six Shared Capabilities.

The platform creates one capability layer that GEWU, LUBAN, and MOZI invoke in different ways

03Product EntriesPRODUCT ENTRIES

02Six CapabilitiesSHARED CAPABILITIES

01Engineering AI PlatformPLATFORM FOUNDATION

PRODUCT ENTRIES

Product Entries

GEWU

Expert-Led Operation

EXPERT-LED OPERATION

LUBAN

Standardized Invocation

STANDARDIZED INVOCATION

MOZI

Intelligent Execution

INTELLIGENT EXECUTION

SHARED CAPABILITIES

Six Engineering AI Capabilities

Workflow Coordination

Trusted Solving & Validation

Reusable Method Packaging

Intelligent Solution Generation

Engineering State Prediction

Autonomous Engineering Decisions

ENGINEERING AI PLATFORMEngineering AI Platform

Engineering Solver System

Engineering Runtime System

Engineering Intelligence System

From Platform to Products

CAPABILITY FORMATION AND INVOCATION

01Built by the PlatformThree systems create six shared capabilities

02Shared Across ProductsThree product interfaces use the same capability layer

03Composed for SolutionsCapabilities combine around each engineering problem

04Validated in WorkflowsResults and evidence move into engineering acceptance

06 | ENGINEERING AI TRUST & GOVERNANCE

Engineering AI Governance: Production-Grade Intelligent Execution

A shared control plane governs every input, method, run, approval, result, and evidence trail across the platform, capabilities, and products

TRUST & GOVERNANCE CONTROL PLANE

Trust & Governance Control Plane

Intelligent execution stays bounded by engineering constraints, human approvals, and complete evidence

Data & Model Governance

Control inputs, data, models, methods, and versions

Execution Governance

Control tasks, resources, agents, and human approvals

Results & Evidence

Trace verification, evidence, and engineering acceptance

Access & Audit

Audit access, calls, responsibility, and policy boundaries

Cross-layer CoverageCROSS-LAYER COVERAGE

Engineering Solver SystemEngineering Runtime SystemEngineering Intelligence SystemSix Shared CapabilitiesGEWU / LUBAN / MOZI

Trusted Task Chain

TRUSTED TASK CHAIN

Governed Inputs01

objects | sources | acceptance criteria

→

Governed Methods02

versions | methods | applicability

→

Controlled Execution03

resource calls | approvals | run records

→

Result Verification04

replay | comparison | confidence

→

Evidence Archive05

versions | delivery evidence | accountability

Governed Assets and Safeguards

GOVERNED ASSETS AND SAFEGUARDS

ISO 27001｜MLPS Level 3

Governed Assets

Models & MethodsData & KnowledgeUtilities & AppsExecution & Evidence

Safeguards

Access ControlVersion ControlAudit TrailsCompliance Controls

Governed Engineering Execution

GOVERNED ENGINEERING EXECUTION

01Constraints ReviewableGoals, methods, and boundaries stay explicit

02Approvals ConfirmedEngineers own critical checkpoints

03Evidence TraceableInputs, process, and results remain connected

04Accountability AuditableAccess, calls, and responsibility stay verifiable

07 | CAPABILITY INFRASTRUCTURE

Engineering AI, Built as Infrastructure

Unify solving, runtime, and intelligence so engineering capabilities can be built, called, verified, governed, and scaled across real work

Engineering capability becomes infrastructure for modern engineering

Engineering SolvingSOLVING

Runtime at ScaleRUNTIME

Engineering IntelligenceINTELLIGENCE

ENGINEERING AI PLATFORMUnified Engineering AI Platform

Capability InfrastructureCAPABILITY INFRASTRUCTURE

01Built

02Callable

03Verifiable

04Reusable

05Governed

06Scalable

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