Soiawork · Built by 实在智能

Make progress in AIan opportunity for more people.

We care how far AI can go,
and even more, how far it can help more people go.

What we see

AI keeps getting stronger.
Putting it to work still has hurdles.

AI is growing stronger. Putting it to work still means connecting business context, systems and methods. We want to lower the barriers, so more people can participate and benefit.

Explore our AI organization

Our response

Build an AI organization
Bring capabilities together around a goal.

An AI organization is a collaborative system that brings people and AI agents, knowledge, skills, workflows, system resources and management rules together around business goals, so work can continue, results can be handed over and proven methods can be reused.

What this means for people and businesses

The change we hope to see

For people

Less repetition.
More room to think.

Reduce the burden of repeatedly finding, moving and organizing information. Leave more time for professional judgment, learning and creativity, with greater ease at work and room to grow.

For businesses

More effective collaboration.
Capabilities that accumulate.

Connect members, systems and methods around shared goals. Carry results forward under clear permissions, and maintain, share and reuse methods whose value has been verified.

Explore the experience behind 实在智能

Eight years of experience.
AI for real work.

实在智能 has invested in AI and automation since 2018. Its business experience and research provide the foundation for Soiawork.

Business customers
6,000+
Served by 实在智能 to date
Invention patents
100+
实在智能’s R&D portfolio
OSWorld task success rate · July 2026
90.2%
A product of 实在智能

Trusted by Fortune Global 500 companies

中国移动中国联通京东物流菜鸟周黑鸭太平鸟
See how we work with customers

How we work with you

Understand the business first.
Then make it work together.

Stay grounded in reality: start with real problems and test results against the facts.

  1. 01

    Understand the problem before proposing a solution.

    Understand the real business, goals and constraints before assessing AI. Explain its capabilities honestly. If a simpler approach fits better, say so.

  2. 02

    Validate together on real work.

    Agree on information, authorization and acceptance criteria. Test real tasks and actual results against verifiable evidence. Explain what works, its limits, exceptions and open questions.

  3. 03

    Explain delivery and ongoing responsibility.

    State what is complete, its scope, known limits and unfinished work. Clarify sharing permissions, maintenance and ongoing responsibilities, so results can be checked and carried forward.

Back to the direction we believe in

People first. AI for everyone.

AI’s next stepshould be a new step for everyone.

Tell us about your business

Contact us

Tell us about your business

WeCom contact QR code
WeCom
Hangzhou
浙江省杭州市余杭区铜山溪路2号南湖未来科学园4号楼3层
Shanghai
上海市长宁区凌空园区11幢12层C09-C10
Shenzhen
深圳市龙岗区天安云谷3栋C座1408
Beijing
北京市朝阳区建国路18号南郎家园恋日国际东侧(一层旋转门)