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AgXeed is a robotics company founded 2018, based in Netherlands, developing 3 robots primarily in the Agricultural category.
Autonomous farming robots for broad-acre and specialty field work
AgXeed is a Dutch robotics company that builds autonomous agricultural robots, including the AgBot T2 5 Series and AgBot T2 7 Series, for broad arable land and open-field vegetable operations. Its systems combine diesel-electric drive, crawler tracks, and autonomous control for tasks such as seeding, cultivation, and tillage, and it operates through a farm-focused sales and service partner network.
Company facts
- HQ
- Haaksbergen, Netherlands
- Founded
- 2018 · 8 yrs
- Website
- www.agxeed.com
Maker Score
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6 of 6 factors known. How it's calculated
Milestones
AgXeed highlighted the AgBot T2 5 Series for broad arable land and high-capacity work on its product page.
AgXeed expanded its lineup with the AgBot T2 7-series, a 230 hp autonomous robot for large-scale arable farms and open-field vegetable operations.
Development of the first AgBot began in June 2018.
Press coverage
- Agxeed AgBot T2 7-Series 230 HP Autonomous Robot for Farming
BAS Agri
- AgXeed T2 5-SERIES
Future Farming
Active products by AgXeed
3 shown| # | Category | ||||
|---|---|---|---|---|---|
| 1 |  | AgBot T2 7 SERIES | Agricultural | 2025 | 45.6 |
| 2 | T2 5 Series | Agricultural | 2025 | 44.8 | |
| 3 |  | AgXeed AgBot | Agricultural | 2024 | 44.5 |
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…