YUANSUAN | ENGINEERING AI

Engineering AI shaped by real engineering work

Yuansuan builds Engineering AI to help engineers explore better designs and put validated methods to work across teams and future projects.

By Engineers, For Engineers

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A lasting technical foundation

From engineering computation to Engineering AI

By engineers, for engineers

Respect judgment. Build trust through validation.

Grounded in practice

Learn from real engineering work

OUR PURPOSE

Compare more designs. Share what works.

Computation extends the reach of expertise
You ask the questions worth pursuing and make the critical trade-offs. Engineering AI helps you compare more possibilities and explore further.
New ideas build shared strength
You turn new ideas into solutions to engineering problems, opening possibilities for your team and turning individual breakthroughs into shared strength.
Experience gives others a starting point
The methods you refine and validate deserve to be kept and shared, helping colleagues avoid detours and build on your experience.

HOW CAPABILITY GROWS

Put individual experience to work across the team

Explore designs with Engineering AI and share proven methods across the team.

Same engineer, same starting point

Build expertise through practice

Practice
Revise & retry
Validate & learn
Ready to solve

Build shared capability through AI

Individual growth

Build on expertise
AI exploration · Validate & select
Ready to solve

Team growth

Validated methods
Team reuse

Time to being ready for the task

Same startTime

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OUR TECHNICAL FOUNDATIONS

From engineering computation to Engineering AI

Since 2016, we have built on real engineering challenges, making each technical advance a foundation for further exploration.

Engineering AI system
Connect modeling and exploration. Enable intelligent execution.
Intelligent modeling
Combine physics and data. Extend modeling capabilities.
Scenario-specific applications
Work with real engineering tasks. Refine professional methods.
Control over solver algorithms
Advance solver algorithms. Strengthen computational foundations.
Cloud computing
Pool computing resources. Support complex workloads.

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ENGINEERING PRACTICE

Earn trust through results validated in real engineering work

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Define where each method applies and retain validation evidence, so engineering conclusions can be checked and traced.

Component validation

Wheel 13° impact validation

Compare impact response with test results to refine performance review methods.

Wheel 13-degree impact response with stress legend and impactor model

Response analysis
Simulation–test comparison

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System operations

Nuclear cold-source warning

Connect monitoring, forecasts and risk assessment to build operational warning expertise.

Engineering interface showing coastal monitoring and trend analysis for a nuclear cold source

State prediction
Risk assessment

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Coordinated response

Flash-flood forecasting and response

Link watershed modeling, warnings and response to refine coordinated assessment.

Watershed model and warning assessment in a flash-flood system

Watershed modeling
Coordinated assessment

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Experience and recognition

About these figures

Granted invention patents, validated high-value scenario categories, provincial-level project coverage in China, and development process maturity; public information updated September 2026