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DealStreetAsia reports Sharpa raises about $669 million and opens autonomous robot restaurant

DealStreetAsia reports that Sharpa, founded by Hesai Technology’s co-founders, raised more than 4.5 billion yuan and opened a Shanghai Dairy Queen restaurant operated by humanoid robots.

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Source-provided image accompanying DealStreetAsia reports Sharpa raises about $669 million and opens autonomous robot restaurant
The short version

DealStreetAsia reports that Sharpa, founded by Hesai Technology’s co-founders, raised more than 4.5 billion yuan and opened a Shanghai Dairy Queen restaurant operated by humanoid robots.

What happened

DealStreetAsia reports that Sharpa raised more than 4.5 billion yuan, or about $669 million, from investors including Alibaba, Meituan, Tencent, JD.com, Transsion Holdings, HongShan, Qiming Venture Partners, Luminous Ventures and Long-Z Investments. The financing reportedly valued the startup at about 22 billion yuan, or $3.3 billion, after the investment.

DealStreetAsia reports that Sharpa, an artificial-intelligence robotics startup founded in 2024, secured more than 4.5 billion yuan, equivalent to about $669 million. The outlet says the investors included Alibaba Group, Meituan, Tencent Holdings, JD.com and Transsion Holdings, along with institutional investors HongShan, Qiming Venture Partners and Luminous Ventures. Meituan’s corporate venture arm, Long-Z Investments, also participated, according to the report. Sharpa disclosed the financing in a WeChat post, as reported by DealStreetAsia; the supplied source does not include an independently published financing announcement or investment filings.

The reported financing came shortly before Sharpa opened a Dairy Queen restaurant on Wujiang Road in Shanghai’s Jing’an District. DealStreetAsia says the restaurant was launched in partnership with CFB Group’s Dairy Queen franchise and began operating on August 29, 2026. Sharpa describes the site as “zero-modification” and fully automated, meaning its humanoid robots use the store’s existing commercial equipment and tools rather than specially altered machinery. The source identifies the location and operating hours as 10 a.m. to 10 p.m. daily.

According to DealStreetAsia, Sharpa says the robots carry out a 55-step process to make Dairy Queen’s Blizzard ice cream. The sequence is described as covering order receipt, preparation, handoff and the brand’s upside-down serving routine. Sharpa said the launch was the first time humanoid robots had operated fully autonomously in a real-world commercial food-and-beverage environment. That is a company claim reported by DealStreetAsia, not an independently verified finding in the supplied material. The source does not provide uptime data, failure rates, staffing details, transaction volumes or third-party testing.

Sharpa was founded by Hesai Technology co-founders David Li, Xiang Shaoqing and Sun Kai, who are identified respectively as chief executive, chief technology officer and chief scientist. DealStreetAsia reports that Sharpa is headquartered in Singapore, has a business operations centre in California and a manufacturing research-and-development centre in Shanghai. The company currently serves robotics original-equipment manufacturers, research institutions and food-and-beverage clients, while stating that it eventually aims to develop household robots. The source does not specify the robots’ technical architecture, model providers, production volume or customer contracts.

Source details: dealstreetasia.com

Why it matters

The reported financing and restaurant launch represent a significant commercial test for humanoid robots. Sharpa says its robots can perform a 55-step ice-cream preparation and service process using standard, unmodified restaurant equipment. The company’s claims and the financing details were not independently confirmed from a public primary document in the supplied source.

The restaurant is a meaningful deployment because it places humanoid robotics in a public commercial workflow involving physical manipulation, food preparation and customer handoff. A restaurant environment is less controlled than a laboratory or staged demonstration: equipment is designed for human workers, orders vary, and the system must repeat tasks during normal operating hours. If Sharpa’s account is accurate, using existing equipment would address one important barrier to adoption by reducing the need for costly site modifications.

The financing is also notable in the context of China’s expanding embodied-AI sector. A reported $669 million round would give Sharpa substantial resources for research and development, hiring and manufacturing. The participation of large technology and commerce companies could provide potential commercial relationships or distribution channels, although DealStreetAsia does not establish the terms of those investments or say what strategic rights the investors received. The reported post-money valuation of about $3.3 billion likewise remains attributed to the outlet’s account of Sharpa’s disclosure.

The practical significance will depend on reliability and economics, not just whether a robot can complete a prescribed sequence. A restaurant operator would need to know how often human intervention is required, how quickly problems are diagnosed, what maintenance costs are involved, and whether robot labor can compete with or complement human staff. The source supplies none of those measurements. It also does not say whether the restaurant is staffed for safety, cleaning, replenishment, customer support or emergency response, all of which could affect the meaning of “fully automated.”

The launch illustrates a broader shift from selling robotics components or conducting pilots toward operating AI-enabled machines in ordinary commercial settings. Sharpa says its goal is to move general-purpose robots from technical validation to real-world application. That ambition could matter for food service and other sectors if the system generalizes across tasks and locations. At present, however, the supplied report documents one restaurant launch and company statements about its capabilities; it does not establish broad general-purpose performance.

What to watch next

The practical question is whether Sharpa’s robots can operate reliably over time in a functioning restaurant, rather than complete a demonstration. Further reporting should establish the restaurant’s operating performance, human involvement, customer experience, safety procedures, maintenance requirements and whether the system expands beyond this single location.

The first priority is independent evidence about day-to-day operation. Future coverage should seek records or observations showing how often employees intervene, how many orders the robots complete, how long service takes and whether the system operates continuously during the stated hours. DealStreetAsia reports the opening and Sharpa’s claims, but the supplied source does not independently confirm those operational results.

Safety and accountability deserve close scrutiny because the robots handle food, equipment and customer-facing exchanges. Reporting should clarify who supervises the system, how faults are detected, what happens when an order cannot be completed, and how the restaurant manages contamination, spills, equipment failures or unexpected customer behavior. The source does not describe safety protocols, food-service compliance measures or the division of responsibilities between robots and people.

The financing should be examined through additional public evidence, including investor confirmations, corporate disclosures or regulatory records where available. DealStreetAsia attributes the investor list and valuation to Sharpa’s WeChat post and reports that the round exceeded 4.5 billion yuan. The supplied material does not independently confirm the exact amount, valuation, ownership structure, closing date or whether all named investors participated on the same terms.

Finally, observers should watch whether Sharpa expands beyond this location and whether its robots can perform different tasks without extensive retraining or site-specific engineering. The company says it intends to serve additional application domains and eventually develop household robots, but those are future aims rather than reported results. Evidence from additional restaurants, industrial customers or independently evaluated deployments would be needed to assess whether the Shanghai site is a repeatable business model.

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