What is the core problem that Gamaya solves for sugarcane farmers?
Gamaya solves the problem of optimizing sugarcane farming operations to increase yields and profitability while promoting sustainability. It provides AI-driven insights to maximize productivity with the same level of inputs, aiming to achieve up to 5% increased sugar production per hectare. The solution aligns productivity growth with sustainability, reducing up to 1 ton of CO₂ per hectare.
Who is the target audience for Gamaya's platform?
Gamaya's platform is for sugarcane farmers, producers, and mills. The evidence indicates it serves clients involved in sugarcane farming, offering customized solutions for maturation and flowering, and helping mills and producers enhance transparency for certification and maximizing CBIO potential.
What key features and capabilities does Gamaya offer?
Gamaya offers features including weekly projections using satellite imagery and climate data, accurate recommendations for optimal harvest time, and customized solutions for crop stages like maturation and flowering. It provides geospatial monitoring, automated data analysis for RenovaCalc, and deforestation reports to ensure compliance.
How is Gamaya priced or packaged for its users?
Gamaya's pricing model focuses on the value it delivers, with the homepage highlighting a metric of +$85 USD per 1 hectare. This indicates that the solution is presented as a value-add, aiming to help users achieve higher yields and profitability per hectare of monitored land.
What is Gamaya used for and in what situations?
Gamaya is used for optimizing sugarcane production, from planting to harvest. It provides smart insights to optimize sugarcane harvesting and streamline certification processes like RenovaBio. The platform is applied for maturation, flowering, and creating deforestation reports to comply with guidelines, offering solutions for farms and mills aiming for precision agriculture.
What is Gamaya?
Gamaya is an AI-powered platform for sugarcane farming that combines remote sensing and agronomic modeling to optimize yields, improve sustainability, and support farm management decisions like harvest timing.