maq

MAQ33's thesis, which is currently being conceived, deals with an Agtech that aims, in an agile and reliable way, without losing the production windows, to allow the Farmer to drastically minimize investments and fixed costs, through a greater use of its agricultural equipment and machinery, so that it can provide services, using its own equipment and machinery resources, to another Farmer. Connecting one Farmer to another through georeferencing technology and AI, with the availability of the correct equipment, in the correct period, in the correct number of machines, providing an excellent service with equipment that is not in use in the same period. The Farmer will increase its revenue, reduce costs of non-use of equipment and avoid purchasing expensive equipment unnecessarily. None of that happens today in that market, everything is very difficult and done in a very amateur way. The platform also brings with it strong premises and differentials in ESG initiatives, such as corporate governance, compliance in line with the ecosystem in which it operates, LGPD (as ADPPA (American Data Privacy and Protection Act)) and reduction of CO2 emissions through the optimization solution in the use of Agro equipment.

Contact:
Wagner Tadeu Rodrigues
wtr@wtrhold.com
WhatsApp +55 (11) 97049-1099