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An engineer-centered Engineering AI concept: experts explore engineering frontiers, engineers reuse proven methods, and Yuansuan executes engineering tasks at scale through a shared compute array. Concept artwork, not real employees, customer designs or measured results.

YUANSUAN | ENGINEERING AI

Explore more designs. Reuse what works.

Put expert methods within reach of more engineers.

Compare more options through computation, check results against real engineering work, and put proven methods to use across teams.

150Granted invention patents
ISO 27001Information security
CMMI 5Process maturity
Explore more options

Compare more design optionsand check the best candidates.

Use Engineering AI to compare designs across parameters and operating conditions, giving experts more evidence for their decisions.

Sequential testing in the physical world leads to an experience-based solution. Digital versions of the same engineering object explore different parameters, conditions and designs in parallel, with a better solution highlighted after comparison.

PHYSICAL WORLD

SEQUENTIAL TESTING
Experience-based solution

DIGITAL WORLD

PARALLEL EXPLORATION
Better solution
Use proven methods across teams

Let one team support more engineering tasks

Experts develop and validate

Define models, criteria and limits

Methods the team can reuse

Engineering method
ModelsWorkflowsKnowledgeCriteria

Package proven methods as Engineering Apps

More engineers use methods on demand

Design teamDesign tasks
Validation teamValidation tasks
Delivery teamDelivery tasks

Yuansuan executes tasks at scale

One method serves multiple teams and projects

Improve methods through application feedback

Expert time on each taskReusable methods and scalable computation
Engineering capacity: experts develop and validate reusable methods that multiple teams access on demand. Yuansuan provides shared computation for method reuse and task execution. Application feedback returns to experts to improve methods and their scope.
Engineering evidence

From solving one problem to building reusable capability

Explore all case studies

13° wheel-impact validation

The challengeManual validation steps make consistent test correlation and reporting difficult

Capability ready for reuse

Package the validated method as an App

Package validated methods and acceptance criteria in GEWU so teams can reuse them within their proven scope.

Engineering App results view · IllustrationEngineering App results view · Illustration
  • LUBANOrchestrate and execute

    Compose Engineering Apps and run tasks at scale

  • MOZIInvoke intelligently

    Select capabilities by goal and adapt the task plan

  • Callable methods
  • Standard reports
  • Reviewable records
Empower the whole team

Put Engineering AI in the hands of your whole team

Explore all products

Explore GEWU, LUBAN and MOZI through their interfaces and working steps. Choose or combine products as the task requires. The views illustrate workflows, not live tasks or performance metrics.

A trusted foundation

Unified Engineering AI for complex engineering tasks

World Modeling

Fuse physics and data to represent more complex engineering problems

Physics modelEngineering data

Represent more complex problems

Engineering Exploration

Explore design spaces in parallel and select within engineering constraints

A, B and C use different parameter sets. The curves illustrate validation margin versus load; zero is the acceptance boundary. C stays positive over the illustrated range and advances to further validation. These are not measured results.
Candidate designsMargin · schematicLoad level
ABC

Compare designs and diagnose causes

Agentic Engineering

Plan and execute dynamically around engineering goals

Goals & constraintsPlanWorld ModelingEngineering ExplorationReview resultsAdapt plan

Advance more complex tasks

Engineering assurance

  • Grounded models
  • Defined method limits
  • Traceable execution
  • Reviewable results
START WITH YOUR TASK

Build engineering capability, starting with one real task

Could you find a better solution to this engineering problem?

You want to compare more designs and operating conditions, but your experts’ time is limited.

Could this proven method support more engineering tasks?

You have a validated method and want more engineers to use it, with fewer repeated manual steps.

What we’ll clarify together

  • Task value
  • Validation criteria
  • Starting point
Discuss your engineering task

Tell us what you’re working on and where you’re stuck. We’ll work out how to begin together.