01
Keep Engineers in Control
Goals, Boundaries & Acceptance
Frame & Model
Engineers set goals and boundaries; AI structures physics and context
YUANSUAN | ENGINEERING AI, BUILT BY ENGINEERS
Yuansuan is redefining engineering for the age of Physics AI.
Physics AI connects artificial intelligence with the physical world. Engineering AI brings that intelligence into complex engineering.
Three Foundations of Yuansuan
SINCE 2016 · 141 PATENTS · REAL-WORLD PROOF
01Engineering Culture
Engineering AI begins by augmenting engineers
Yuansuan is built by engineers, for engineers. Engineers set the goals, limits, and review criteria. Engineering AI expands the options they can model, test, and learn from.
CORE PRINCIPLE
GOAL AUTHORITYBOUNDARY CONTROLACCEPTANCE AUTHORITY
Engineering AI strengthens the complete problem-solving loop
02
Expand Engineering Judgment
Physics & Judgment
Solve, Compare, Optimize
Explore more options so engineers reach sound decisions faster
03
Own the Result
Real Tasks & Acceptance
Evidence & Experience
Make results reproducible and traceable, then return evidence to the next task
02The Yuansuan Computing Thesis
Computation creates intelligence. Engineers define value
Engineering intelligence grows when objects, physics, workflows, and evidence stay connected—and engineers remain in control.
01 / INPUT
ENGINEERING WORLD
01 / OBJECTS
Engineering Objects
Structures, materials, boundaries, and conditions
02 / PHYSICS
Physical Mechanisms
Physical domains, scales, and interacting factors
03 / WORKFLOWS
Task Workflows
Design, simulation, manufacturing, and operations
04 / EVIDENCE
Validation Evidence
Reproduce, review, and trace results
02 / COMPUTE LOOP
Unified Computing Loop
Engineers define goals, boundaries, and acceptance criteria
01Understand
02Model
03Solve & Explore
04Validate
Compound & Reuse
03 / OUTCOME
ENGINEERING VALUE
Trusted Judgment
Clear grounds and explainable decisions
Usable Results
Results that can be validated and accepted
Reusable Capability
Data, models, methods, and evidence compound
03The Yuansuan System
Put the Engineering AI System to Work
Start with a real task. The platform connects compute and governance, products support each role, and solutions define the workflow and success metrics.
01
Industry Workflows
High-value problems embedded in critical industry workflows
02
Solutions
Connected workflows built around clear tasks, evidence, and measurable results
03
Products
Purpose-built workflows for professional operation, standardized access, and autonomous execution
04
Engineering AI Platform
One foundation for engineering computation, production runtime, and intelligence
05
Engineering experience keeps running and being reused
Returns to the next real engineering task
VERIFIED ENGINEERING EXPERIENCE
Every task can leave reusable data, models, methods, and evidence—so team capability grows with real work.
- Data Assets
- Model Assets
- Method Assets
- Evidence Assets
04Real-World Validation
Trust Is Earned in Real Engineering Work
Patents, critical engineering use cases, cross-region deployments, and national recognition show where the system has been put to work.
141
Granted Invention Patents
Proprietary IP spanning engineering solvers, production runtime, and engineering intelligence
10+
High-Value Engineering Scenarios
Proven where constraints are tight, failure is costly, and accountability matters
26
China Project Coverage
Engineering projects deployed across provinces, municipalities, and multiple industries in China
China
China National Technology SME Recognition
National recognition for specialized technology SMEs with sustained investment in proprietary engineering software
CNNC
State Grid
SPIC
Zhejiang Energy
Dongfeng Motor
China United Engineering
iFLYTEK05Company Development
From Cloud Engineering Compute to Engineering AI
Since 2016, Yuansuan has expanded from cloud engineering compute and proprietary solvers to reusable products and a connected Engineering AI platform.
2016 — FUTURE
01
Cloud Engineering Compute
HPC and engineering workloads move to cloud runtime
02
Autonomous Engineering Solving
Proprietary CAE and hybrid solving enter real tasks
03
Productized Engineering Capability
Engineering methods become reusable Utilities and Apps
04
Systemized Engineering AI
Platform, GEWU, LUBAN, and MOZI form one system
05
Engineering AI Infrastructure
Scale toward organizational operation and industry reuse
ENGINEERING CAPABILITY EVOLUTION
- RUNNABLE
- SOLVABLE
- REUSABLE
- INTELLIGENT
- SCALABLE
06Engineering Community
Let more engineers build trusted engineering capability together
Enterprises, engineers, software partners, and research institutions can connect tools and share methods under clear standards, ownership, and runtime controls.
Open Technology
Connect specialized software, data, models, and compute environments
Open Capabilities
Make engineering methods discoverable, composable, and callable
Open Ecosystem
Enable partners to build industry applications together
07Build with Yuansuan
ENGINEERING AI COLLABORATION
Start with one real engineering task
Talk to an engineer, build an industry workflow with us, or join the team.
01
Talk to an Engineer
Define a focused pilot around one high-value engineering task
02
Co-Build an Industry Workflow
Define the task, workflow, evidence, and success metrics with industry partners.
03
Join the Yuansuan Team
Build the foundations of Engineering AI with engineers
Principles for Engineering Collaboration
Real problems and accountable results
Customer-owned assets
Auditable engineering data and process