Sucafina, a sustainable farm to roaster coffee company, has announced its investment in Agrosmart, a startup that builds ‘smart farming’ data-led solutions for a more sustainable, climate-resilient food chain.
The Brazil-based company has a data network that includes more than 100,000 farmers and over 90 crops, across nine countries in Latin America.
Its digital agriculture platform uses data science and analytics to help farmers and producers increase their yield while saving water and energy and reducing inputs.
“We’re delighted about this investment in Agrosmart, an innovative company in the exciting and fast evolving AgTech sector,” says Nicolas Tamari, CEO of Sucafina.
The investment, made in partnership with privately held investment firm LemanVentures, represents the second transaction in Sucafina’s new agribusiness investment division.
“We are looking forward to partnering with Agrosmart’s leadership team to use data science to accelerate the transition to more productive, sustainable, and climate-resilient food systems,” says Stefano Rettore, Founder and CEO of LemanVentures.
Launched in November 2021, it’s focused on investing in companies that are developing innovative solutions at the intersection of sustainability, technology, and new consumer trends.
“Climate is directly impacting supply chains, and coffee has special importance to us due to our origins and Brazil’s relevance in the market,” says Mariana Vasconcelos, Agrosmart’s co-founder and CEO.
“Partnering with Sucafina is an important step to be able to increase our reach to support more farmers around the globe to become more sustainable and climate resilient.”
Founded in 2014, Agrosmart uses software data analysis collected from soil sensors and satellite images and provides recommendations to optimise planting, irrigation, climate resilience, and disease management.
Other investors in the company include SP Ventures, Bradesco CVC, the second largest private bank in Latin America, Positivo CVC, Latin America’s largest hardware manufacturer, and Swiss Pampa.
For more information, click here.
