Financials

Estimates*

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Revenues, earnings & profits over time
USD20192020202120222023
Revenues3.8m4.1m4.1m4.1m4.1m
% growth-8 %---
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DateInvestorsAmountRound
-

N/A

-

CHF10.0k

Grant

CHF20.0k

Grant
*

N/A

Spinout
N/A

$800k

Seed

CHF100k

Debt

N/A

Seed
*

CHF3.2m

Series A

CHF500k

Debt

CHF500k

Growth Equity VC

CHF4.2m

Convertible
*

CHF12.0m

Series B
Total Funding€17.3m

Recent News about Gamaya

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More about Gamayainfo icon
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Gamaya is a startup that uses artificial intelligence (AI) and data analytics to improve the sustainability and efficiency of sugarcane production. The company operates in the agricultural sector, specifically focusing on the sugarcane industry. It serves customers across the sugarcane value chain, including growers and other players in the industry.

The company's business model revolves around providing AI-powered data analytics to help its clients improve operational efficiencies, increase yields, and enable carbon removal at a large scale. This is done through crop-specific models that have been trained and tested for over a decade, providing the company with a deep understanding of the specific needs of sugarcane in various contexts around the world.

Gamaya's services are particularly relevant in the context of climate change, as they help to make sugarcane production more resilient to its impacts. The company also sees potential in the carbon market, as sugarcane has a vast carbon sequestration potential. This means that sugarcane can absorb a lot of carbon dioxide from the atmosphere, which can then be sold as carbon credits in the carbon market.

The company operates in several key sugarcane-producing regions, including Brazil, India, Southern Africa, and the United States. It aims to become the most trusted partner in agriculture, delivering profitable and responsible data-driven agronomic intelligence.

In terms of revenue, Gamaya likely charges its clients for access to its AI-powered data analytics platform and for the insights it provides.

Keywords: Artificial Intelligence, Data Analytics, Sugarcane Production, Sustainable Agriculture, Carbon Sequestration, Carbon Market, Operational Efficiency, Yield Improvement, Agronomic Intelligence, Climate Change Resilience.

Tech stack

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