RoboScore
47.1
Out of 100. Its robots, plus proof from customers and the press.
4 of 6 measures have data
News bonus
0.0
From the last 90 days, up to 15
RoboIndex
47.1
No change since the 19 Oct ranking
Rank change
No change
Now #32 of 46 in Agricultural · See the board →
Vigorun Intelligent Tech Shandong is a robotics company founded 2022, developing 1 robot primarily in the Agricultural category.
Watch Vigorun Intelligent Tech Shandong robots at work
1 video
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Claim Vigorun Intelligent Tech ShandongMoney and customers
Raised
Not yet on file
No recorded round
Customers
None
No named customer yet
What the score is made of
How it worksThe score is 65% robots, 30% proof from customers and the press, 5% range of robots. Activity and readiness are shown for context.
FUNDING ROUNDS AND CUSTOMERS BY ROBOT
Customers
No deployment evidence on file
A deployment is recorded when a public source names both the customer and the robot, or the maker confirms it. Nothing here counts against Vigorun Intelligent Tech Shandong.
In Agricultural, Carbon Robotics, Vitirover and GEA Group have deployment evidence on file.
Add a deployment →Active products
1
Price range
US$2K
1 of 1 priced
Company facts
- Legal name
- Vigorun Intelligent Tech Shandong Co., Ltd.
- Founded
- 2022 · 4 yrs
Active robots by Vigorun Intelligent Tech Shandong
1 shown- 1
Agricultural · US$2K
| # | Category | ||||
|---|---|---|---|---|---|
| 1 | | Remote Control Lawn Mower | Agricultural | US$2K | 54.1 |
Agricultural buying guides
Industry Knowledge →
Ag Robot Vendor Selection: Pilot Data, Financing Options, and Exit Terms
Most agricultural robot procurement decisions optimize for demo quality and sticker price. The farms that make durable vendor choices optimize for data transpar…
From Research Plot to Commercial Scale: A Two-Season Playbook
Most ag robot programs fail not in the technology lab but in the transition from controlled trial to commercial operation. The farms that navigate it successful…
Field Constraints That Kill Robot Deployments: Terrain, Weather, Crop Spacing
Slope gradients, seasonal mud windows, crop-row geometry, and end-of-row headland length are the four variables that most reliably predict whether an ag robot d…