A unified vineyard management platform

A fully integrated suite of innovative
products like yield estimation, smart
irrigation & disease predictions.

Yield Estimation

Self-improving AI model for reliability & accuracy.

Leverage the power of machine
intelligence, historical and current data to get an accurate estimation of yield.
Get yield prediction with 85% accuracy.

Smart Irrigation

Efficient deployment
for water & fertiliser to reduce cost.

Advanced automated irrigation solution to minimise use of water, optimise yield and improve fruit quality. Optimise water usage by up to 50%.

Disease Outbreaks

Fungal & Bacterial
disease forecast models for risk mitigation.

Accurate & reliable forecasting to keep you one step ahead of disease outbreaks, whether it is powdery mildew or botrytis. Reduce crop loss by up to 10%.

Nutrient Deficiency

Early detection ML
model to reduce impact on growth & yield.

Identify exact locations of grapevines being affected by macro and micro nutrient deficiencies resulting in loss of yield.

Alerts and Recommendations

Get instant alerts to keep you on top of issues affecting the crop.

Real time alerts to monitor all key elements of the vineyard; from micro climate to disease outbreaks.

Canopy Cover

High fidelity canopy cover index to monitor vine vigour.

Improve fruit quality, optimise yield and mitigate the risk of diseases by monitoring and managing the canopy cover.


Daily weather forecast for planning.

Accurate micro weather forecast to help you prepare for oncoming events & make the right decisions.


API integration to monitor microclimatic conditions, growth & health of crop.

API integration to monitor microclimatic conditions, growth & health of crop.


Vineyard resource management with smart work orders.

An efficient way to manage & track day to day tasks and maintain accurate records of work done.


Data access and visibility to power data driven viticulture.

Near real time visibility of data from satellite, drones, weather stations & ground based sensors.

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