In glasshouses in South Australia, tomato pollination is still done by hand: workers walk between rows tapping strings attached to frames, shaking the plants just enough to release pollen onto the flower stigma. It takes hours. It is inconsistent. And it is the labor problem that nobody in agriculture talks about enough.
Jorge Heraud was not supposed to be the person to solve it. He built Blue River Technology, a startup that mounted cameras on farm equipment so tractors could identify individual weeds and spray herbicide only where it was needed, with no blanket application and no waste. He sold that company to John Deere for $305 million, with the deal announced and completed in September 2017. That was the see-and-spray thesis proven at scale.
Now Heraud has put his own money into Polybee, a Singapore-based startup that applies the same underlying logic, computer vision in the field, to a different problem: finding every flower in a greenhouse and pollinating it with a drone's downwash. Polybee raised a $4.3 million seed round in February 2026 led by Paspalis Capital and elev8 VC, with participation from SEEDS Capital and Heraud as an angel investor.
The round is small by Silicon Valley standards. What makes it interesting is the investor. Heraud does not appear at many seed stages. His track record means his checks carry signal for the precision agriculture ecosystem: the growers and agronomists who watched him build Blue River from a Stanford project to a $305 million exit. When Heraud writes a small check alongside a larger lead, other people in that network pay attention.
"The technology works; now we scale," Polybee founder Siddharth Jadhav said in an interview. He founded the company in 2019 after studying the physics of flight and drone control systems at the National University of Singapore.
Polybee's drones are small, roughly 38 centimeters diagonally, and fly autonomously using a navigation system that relies on QR codes placed throughout a greenhouse. The company currently deploys off-the-shelf drones from DJI, the Chinese manufacturer, but its fleet automation software is designed to be hardware agnostic. Each code acts as a positioning reference point, allowing the drones to build an accurate map of the space and execute a consistent flight plan without human pilots. The drones self-launch from docking stations and self-recharge between runs. The payload is a camera. The company's technology claims to capture more than 100,000 visible leaves per row at greater than 90 percent accuracy, building a real-time model of plant health, fruit size, and predicted yield.
The same fleet handles pollination via a mechanism Polybee calls Aerodynamically Controlled Pollination, using the downwash from the propellers to vibrate flowers and release pollen. The company has a patent pending on the method.
A demonstration in a four-hectare greenhouse with 100-meter rows, hosted by Australian grower Flavorite and attended by 30 growers and trade members, gives the most concrete picture of the economics. Two drones took approximately 15 minutes to complete a single run. To cover the same area manually, Flavorite estimated it would need 14 staff members working simultaneously. Polybee recommends four drones per hectare as the standard deployment. Battery life currently limits each drone to roughly two runs before a battery swap is required; the company is developing autonomous docking stations that can swap batteries without human intervention.
The commercial logic is straightforward. High-value specialty crops like tomatoes, strawberries, and blueberries are increasingly grown in controlled environments where natural pollinators cannot operate. Bumblebees, the gold standard for greenhouse pollination in the northern hemisphere, cannot be imported into Australia. Honeybees become disoriented under glass, and manual labor is slow and inconsistent, as Context, the Thomson Reuters Foundation outlet, reported, and Polybee has demonstrated its technology to the Australian protected cropping industry group. Polybee charges a fixed fee per hectare, with no hardware purchase required from the grower.
The numbers Polybee cites internally are suggestive. In case studies reviewed by AgFunderNews, baby leaf spinach and broccoli operations showed three times the profit improvement against baseline through optimized harvest timing and early stress detection. Greenhouse pollination has delivered up to 15 percent higher yields. A 2022 trial in the UK, covered by ABC Landline, showed more than 50 percent yield improvement compared to bumblebee pollination during a high-price shoulder season.
Those figures come from Polybee's own reporting or from trials conducted with the Australian horticulture industry body that funded the early work. No independent peer-reviewed study of pollination efficacy at commercial scale has been published. The yield claims are directionally consistent: more pollination produces more fruit. But the specific percentages are Polybee's numbers.
The scaling target is more speculative. Polybee says it will expand five-fold to cover more than 4,000 acres by the end of 2026. Whether the fleet orchestration, battery logistics, and per-hectare unit economics hold at that scale is an open question.
The competitive landscape is not empty. Dropcopter, a US-based company, charges up to $375 per acre for outdoor orchard pollination and reports 25 percent yield increases in almonds and 45 percent in cherries. Two drones can pollinate one hectare of greenhouse plants within a few hours, according to Ambrook Research. Harvard's RoboBee project remains in the research phase. Tracxn lists 168 active competitors for Polybee specifically, with top competitors including Pyka, Marut Drones, and insideFPV. Polybee's differentiation is the combination: yield forecasting and pollination from the same autonomous fleet, using the same hardware.
Heraud's thesis, as he described it when Blue River was acquired, was that computer vision applied to agricultural field operations was a platform problem, not a product problem — once you could see and act in the field, the applications multiplied. See and spray was one. See and pollinate is another. See and assess crop health, predict yield, guide harvest timing: those are the data layer on top. Whether Polybee is the company that builds that out, or whether the unit economics or the hardware dependency on off-the-shelf drones breaks the model, is what Heraud is betting on at the seed stage.
The bees, for what it's worth, are not cooperating. Bee populations globally are declining in abundance and diversity, according to the FAO, driven by the combined effects of climate change, intensive agriculture, pesticide use, biodiversity loss, and pollution. That trend is one of the structural tailwinds for any mechanical pollination alternative. Whether that matters more than the operational complexity of running an autonomous drone fleet in humid, enclosed environments is a question the next 18 months of commercial deployments should start to answer.