Our service automates pollination and digital phenotyping with drones and AI.

Autonomous Pollination

Contactless pollination method

Our proprietary method, Aerodynamically Controlled Pollination, pollinates self-fertile crops without contact by exploiting the downwash of drones that is designed for to optimally vibrate flower clusters.

Industry-defying user experience

We are setting a new bar for a delightful experience for workers to deploy our solution with nothing more than a phone app and a reliable fleet of off-the-shelf drones.

Fully autonomous navigation

Once the system is initiated, our users can carry on with their day without the need for monitoring the drones. Our approach eliminates labor and ensures consistency, offering a hassle-free experience.

Current pollination methods bring risk to grower's profitability.

Limited availability of natural pollinators

Pollinator activity typically declines during winter periods, and certain regions of the world, such as Australia, face challenges in accessing natural pollinators.

Labour availability and cost

Over the past few years, there has been a decline in the availability of labor, coupled with a rise in labor costs. For instance, the annual cost of manually pollinating one hectare of crops in Australia is up to $40,000.

Risk of disease transmission

The use of contact-based pollination methods, combined with the increased movement of workers in and out of glasshouses for pollination work, heightens the risk of disease transmission, such as ToBRFV.

Digital Phenotyping

Unmatched accuracy

Our proprietary AI pipeline delivers unprecedented detail and accuracy in measuring critical plant traits.

High throughput

Our pioneering high throughput, on-plant phenotyping solution leverages off-the-shelf platforms such as drones and smartphones.

Integrated Dashboard

Redirect your attention on synthesizing comprehensive, fruit-level measurements to maximize your profitability.

Bottlenecks with current solutions

Manual data collection

Current data collection methods are manual, time consuming and subjected to inaccuracies and large variances across different workers.

Inaccurate yield prediction

Inaccuracies in current yield prediction methods result in downstream challenges for growers and breeders when making decisions regarding pricing and line selection.

Data accessibility and uniformity

There is a massive dearth of scalable, high throughput phenotyping and crop registration solutions wherein data is remotely accessible and is collected with consistent procedures.

Media Coverage

Channel News Asia

Channel News Asia

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ABC Landline

ABC Landline

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The Straits Times

The Straits Times

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Money FM 89.3

Money FM 89.3

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ABC News

ABC News

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Techwire Asia

Techwire Asia

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Recognition

Global Top 100 Finalist - 2019

Global Top 100 Finalist - 2019

Global Top 4 Finalist - 2021

Global Top 4 Finalist - 2021

Global Top 4 Finalist - 2021

Global Top 4 Finalist - 2021