QueenDee

QueenDee is an offshoot of Tech19 in Yeruham that applies drones, robotics, and computer vision to the problem of artificial pollination in controlled-environment agriculture. The company’s system mounts beneath a drone and is designed to collect pollen and distribute it across greenhouse flowers with enough precision to support fruit set without damaging delicate plants.

The technical approach is notable because it attacks both the biology and the flight-control problem at once. According to public reporting, QueenDee has experimented with a vacuum-based pollen capture method and an electrostatic method that uses fibers and brushes to imitate how bees collect pollen. Once the pollen is captured, the system uses image recognition and operator workflows to identify flowers that are mature enough to receive it and to place the dispersal precisely where it is needed.

Commercially, the opportunity sits in greenhouse farming, where growers care about yield consistency, labor efficiency, and predictable inputs. Pollination can become a bottleneck when natural pollinators are unavailable, unreliable, or impractical in enclosed growing environments. QueenDee’s value proposition is therefore not a generic drone service; it is a specialized automation layer for high-value crops that need controlled, repeatable pollination.

The company also reflects the reality of many early Israeli deep-tech ventures: the public evidence points to a very small, self-funded team, with founders holding other jobs while the product matures. That makes QueenDee interesting as a technical proof point, but it also means diligence should focus on whether the hardware can work repeatably in real greenhouses, whether the economics beat manual pollination, and whether the software can eventually reduce operator dependence rather than merely formalize it.