Cromai

Cromai is a Brazilian agricultural technology firm founded in 2017 that leverages artificial intelligence and computer vision to enhance sustainability and efficiency in agribusiness. The company was co-founded by CEO Guilherme Barros Castro and COO Henrique Del Papa. Del Papa's background is rooted in agribusiness, holding director positions at agricultural companies and having a long-standing interest in the technology market, which led him to invest in and join Cromai after witnessing its potential at a field day event.

The company's core business revolves around providing data-driven diagnostics for large-scale agricultural producers, primarily in the sugarcane and soybean sectors. Its business model is centered on a proprietary platform, Atlas, which processes aerial images captured by drones to deliver precise insights. This service enables clients to make informed, data-backed decisions for crop management. Cromai has secured significant funding to fuel its expansion, including a BRL 5 million seed round from Stoller (now a subsidiary of Corteva) in 2021 and a R$ 15 million Series A round in early 2023 led by Baraúna Venture Capital.

Cromai offers a portfolio of specialized products. Their flagship solution, Cromai Scan Weed, identifies, geolocates, and classifies weeds from drone imagery, allowing for precise, localized herbicide application. This targeted approach has been reported by clients to reduce herbicide and water usage by over 60%, offering substantial cost savings and reducing environmental impact. Another product, Cromai Scan Growline, detects planting failures and reconstructs crop lines, turning a process that could take over three weeks into a 72-hour operation. Additionally, Cromai Sentinel is a system designed for sugarcane mills that automates the analysis of vegetable impurities in cargo, delivering real-time data in seconds. Through these tools, Cromai digitizes farm management, serving major producers in Brazil and expanding its monitored area from 60,000 hectares in 2021 to over 1.5 million hectares.

Keywords: agricultural technology, computer vision, artificial intelligence, precision agriculture, weed management, crop monitoring, sugarcane, soybean, drone imagery analysis, sustainable farming, AgTech, farm management software, data-driven agriculture, herbicide reduction, crop diagnostics, digital agriculture, planting failure detection, impurity analysis, georeferenced mapping, localized spraying