Agribusiness
We provide a suite of solutions to optimize operational processes in agribusiness, from field or plant production process data management and analysis, to asset monitoring and maintenance management of production, distribution or storage facilities.


Field Data Management
Automate the collection and management of production data, schedule measurement rounds, assign responsibility and validate the execution. Monitor your processes in real-time to ensure they are always controlled, preventing product losses and equipment failures. Additionally, data is easily accessible for analytics and continuous process improvement.

On-site Maintenance Management
You can integrally manage preventive and corrective maintenance activities. You can upload task schedules, assign them, and track their execution in a single location using platforms customized to each type of user. As well, you can measure equipment productivity and perform continuous data-based improvement.



Multi-site Maintenance Management
Integrate the management of preventive and corrective maintenance for multi-site operations and distributed networks. Additionally, you can upload task schedules, assign them, and track their completion in one place by using platforms tailored to each type of user. Measure team productivity and perform data-driven continuous improvement.

Asset Monitoring and Management
Optimize maintenance management, save energy and provide a consistent level of excellence to customers and employees. Our remote monitoring center, located in Atlanta, surveys your HVAC, refrigeration, lighting and other equipment using IoT devices. We proactively identify technical anomalies and resolve them remotely if possible. If a technical visit is necessary, we can also guide the on-site team directly on the field to ensure an effective resolution in the shortest time possible.

Smartly manage your processes
Request a demo of the platform adapted to your business. With Tutenlabs you can build up your own software to improve your efficiency and processes.