- Suzhou property firm orders 1,000 robots from struggling Shanghai startup DeepBlue Technology
- The deal highlights both real demand for service robots and the risks facing troubled suppliers
The business case for deploying robots in property management is becoming increasingly clear.
But a reported 180 million yuan ($26.67 million) robot order between a Suzhou property company and Shanghai-based robotics firm DeepBlue Technology (深兰科技) raises a different question: whether the supplier can deliver on its promises.
On August 4, Suzhou Jinghou Property signed a cooperation agreement with DeepBlue to purchase 1,000 functional robots in phases, with the machines initially planned for labor-intensive property service applications.
The two companies also plan to establish deployment bases in Jiaxing and Suzhou and jointly develop customized robots under a “DeepBlue plus Jinghou” partnership.
The deal, if fully executed, would represent a major commercial breakthrough for DeepBlue. But it also places renewed attention on the company’s troubled recent history.
The business case is real
For property management companies, the appeal of automation is straightforward.
Labor costs typically account for more than 70% of operating expenses in the industry, while companies continue to face difficulties recruiting and retaining workers.
A cleaning robot, for example, can cover about 11,000 square meters in five hours, with customers typically recovering their investment within three to four years.
That calculation explains why property companies are increasingly willing to invest in service robots. The demand is not theoretical — automation can directly reduce costs and address labor shortages.
The supplier is the bigger question
The challenge lies not with the market need, but with the company supplying the machines.
Five years ago, DeepBlue was regarded as one of Shanghai’s most promising unicorn startups. In recent years, however, the company has faced mounting operational difficulties and is now mired in debt.
Former employees have alleged that salary delays began as early as 2022, with payments becoming increasingly irregular after the fourth quarter of 2023, triggering significant staff departures.
Several former employees said the company expanded into numerous sectors but struggled to move products beyond demonstrations and pilot projects into sustainable commercial businesses.
At certain points in 2023, angry staffers even staged late-night protests, holding banners outside the company’s office building over unpaid wages and social security contributions.
A struggling startup
DeepBlue Robotics, a related entity, has faced bankruptcy proceedings initiated by former employees, according to public records.
Founder Chen Haibo (陈海波) has repeatedly been listed as subject to restrictions on high consumption, while the company has accumulated more than 65 million yuan in enforcement cases.
DeepBlue rejected some of these criticisms in a July 14 statement, saying it had cut loss-making businesses and that core business orders and revenue had increased significantly in 2026, without specifying.
For DeepBlue, however, the worst seems to be over, after it pulled in hundreds of millions of yuan from a pre-IPO funding round in April 2026.
A lifeline or a new beginning?
For Suzhou’s Jinghou Property, the logic behind the purchase may be straightforward: property companies need automation, and robots have a clear role to play.
But a large contract does not automatically translate into successful commercialization.
The key questions remain: Can DeepBlue secure financing to fulfill the order? Can it deliver 1,000 robots on schedule? Can those machines operate reliably after deployment?
A property company may be able to calculate the savings from replacing manual labor with robots. But calculating the risks of relying on a financially weakened supplier is a much harder task.
The 180 million yuan contract could provide DeepBlue with a much-needed lifeline.
Yet until delivery, payment and long-term operation are proven, the deal remains a test of supplier credibility.
