What happened
Runhe Software, a Nanjing-based technology company with over two decades of history, is applying generative AI and intelligent agent technologies to reshape digital transformation in vertical industries, focusing on financial technology, smart IoT, and smart energy. The company builds industry-specific digital and intelligent solutions on top of operating systems and AI, targeting long-term rigid-demand sectors.
To bridge the gap between general-purpose AI and the strict business logic, regulatory rules, and compliance requirements of finance, Runhe developed a full-dimensional financial industry ontology system. According to its chief AI scientist, this system acts like a specialized 'industry operating system' for financial AI, enabling it to understand business processes and follow regulations. The approach has been applied in practice: the company served a major domestic bank's AI computing equipment procurement project and signed an agreement with a leading Vietnamese bank for a 'smart credit factory' full-stack solution.
In parallel, Runhe is advancing embodied intelligence through Runmatic, a domestically produced, full-stack 'brain' for robots. The company does not manufacture robot hardware; instead, it provides an operating system for robots, working with ecosystem partners to deliver complete silicon employee solutions. The system enables robots to learn on the job, perceive environments, and execute tasks such as fetching a bottle of water based on voice commands without manual pre-programming, forming part of the company's dual-track strategy of iterating real-world applications while building frontier technology reserves.
Why it matters
This dual-track approach directly tackles the industry-specific adaptation problem that limits AI adoption in regulated sectors. By creating a domain ontology for finance, Runhe is turning generative AI into a compliance-aware assistant, potentially lowering deployment risks in banks and other financial institutions while offering a model for other tech firms to balance current digitalization with future physical-world applications.
The move into embodied intelligence signals that the company sees AI's next phase as bridging digital and physical operations. By sharing the same underlying AI base between financial applications and robot 'brains', Runhe is betting that lessons from one domain can accelerate the other. This could become a significant differentiator if the strategy succeeds, though it also raises questions about resource allocation and market timing.
Key facts
Runhe Software, rooted in Nanjing for over 20 years, operates in fintech, smart IoT, and smart energy, reporting H1 2026 revenue of 1.879 billion yuan (up 7.53% YoY) and net profit of 82.6596 million yuan (up 38.19% YoY).
The company built a financial industry ontology system to make AI understand financial business logic and compliance, applying it in a major domestic bank's AI computing procurement project and a Vietnamese bank's smart credit factory.
In 2026, Runhe launched Runmatic, a domestic full-stack embodied intelligence brain solution, providing an operating system for robots while not producing robot hardware itself.
What to watch next
Watch whether Runhe's financial AI solutions expand beyond the current bank projects to broader adoption across Chinese and overseas financial institutions. The Vietnamese bank deal could serve as a test case for exporting China-developed digital credit technology.
Another key point is how Runmatic evolves. With the company positioning itself as an 'operating system' provider for robots, its ability to attract hardware partners and demonstrate real-world value in industries beyond finance will determine its impact.
Finally, the success of the dual-track strategy hinges on whether the unified AI base truly enables cross-domain synergy. If the financial ontology and embodied intelligence brain can share learnings, Runhe could carve out a distinctive position in the AI landscape.