¥250M for a MOM firm! What's an IP company really buying? Customers, data, and industrial
Why would an intellectual property company spend ¥250M to acquire a MOM software firm? This is no simple cross-sector deal. In the AI era, the real value of industrial software is shifting from "features" to customers, scenarios, data, and industrial capabilities. The value of industrial software is being redefined. #IndustrialSoftware #IndustrialAI #MES #MOM #SmartManufacturing

On August 21, China Softo Technology announced its plan to acquire 100% of Jiangsu Eurosoft for approximately 250 million yuan.
Jiangsu Eurosoft specialises in MOM, MES, ERP, and smart factories, having served over 100 listed companies, more than 200 demonstration factories, and over 500 digital factories.
At first glance, this appears to be a cross-border acquisition.
But what truly deserves attention is:
Why are companies that never worked in industrial software now starting to acquire it?
01What Was the Most Valuable Thing in the Past?
Consider this question.
In the past, what was the most valuable thing in industrial software?
It was features, code, and licenses.
But in the AI era, this order of value is shifting.
Because what AI truly lacks is not a chatbot.
Rather, it is:
the real business scenarios of enterprises.
And software like MOM and MES happens to enter the most core business operations of enterprises every day.
- How are orders scheduled?
- How is production executed?
- How is the equipment performing?
- How is the quality?
- When will delivery happen?
These used to be just business data within software.
But in the AI era, they begin to become the essential foundation for AI to understand enterprises and participate in decision-making.
02What's Being Bought May Not Be Software, but a Ticket
Looking at this acquisition from this perspective, it becomes interesting.
China Softo may not be buying an MOM software – it may be buying a "ticket" to enter manufacturing enterprises.
What is behind this ticket?
It is customers, production scenarios, industry know-how, and long-accumulated business data.
And this precisely corresponds to the most critical thing in manufacturing AI today:
Data, models, and scenarios must form a closed loop.
This year's "Model-Data Resonance" initiative has already explicitly called for promoting the "data–model–scenario application" cycle and gradually building "agent factories."
03The Core of Future Competition: Who Is Closer to the Business
In the future industrial software industry, the real competition may no longer be about "whose software has more features."
Rather, it is:
Who is closer to the real business of enterprises.
Because the closer you are to the business, the more data you have; with data, you can train models; with scenarios, AI can truly land; and finally, software can evolve from "recording business" to "participating in business."
This is why this 250-million-yuan acquisition is worth a serious look from the industrial software industry.
It may be signalling a shift:
When capital acquires industrial software in the future, it may not be buying just the software itself.
Rather, what lies behind the software: customers, scenarios, data, and industrial capabilities.
04A New Standard for Judging Value
So when judging whether an industrial software company is valuable in the future, one should not just look at how many features it has.
A more important question to ask is:
How deeply does it enter the customer's business?
Because in the AI era, what is truly scarce may not be software.
Rather, it is:
an entry point that can continuously generate real industrial data and business scenarios.