ONE APPROACH,
UNLIMITED APPLICATIONS
Using our tools for building AIoT applications, we deploy solutions across multiple industries. Our algorithms are data agnostic, which provides a scalable approach to solving many of the world’s toughest problems.
Smart Farming
Farming smarter with tech and data.
Smart Farming employs advanced technologies including sensor networks, automation systems, and predictive analytics to enhance agricultural processes. By optimizing resource allocation, minimizing inefficiencies, and reducing environmental impact, this approach enables data-driven decision making for sustainable and scalable production systems.
Smart Greenhouse
Growing smarter, greener, and more efficiently
A Smart Greenhouse leverages advanced automation, sensors, and AI to optimize plant growth, conserve resources, and boost yields. By precisely controlling temperature, humidity, and nutrients, it ensures sustainable, efficient farming with minimal environmental impact.
Smart Home
Where modern comfort meets advanced control
A Smart Home uses simple IoT devices and easy automation to improve comfort, safety, and energy savings. It controls lights, temperature, appliances, and security systems with real-time information and your preferences, creating a connected, eco-friendly home that’s convenient and supports sustainable living.
Process Monitoring
Fault detection on an intensified heat-exchanger reactor
Process monitoring and fault diagnosis are of great importance for operation safety and efficiency of complex industrial plants. MinerWorx was used in this case to address the sensor location problem for fault detection. All the process situations were identified using the whole available set of sensors and then an optimal set of sensors that characterize accurately different situations (abnormal and normal) were selected.
Healthcare
Breast Cancer Prognosis
Breast cancer prognosis using original set of biomarkers and data analysis software based on fuzzy logic method. In oncology one of greatest subjects of study is how to better identify low risk recurrence population avoiding therefore chemotherapy and its secondary effects. From beginning of 2000’s new biomarkers have been selected by molecular methods in order to improve the tumor prognosis.Worldwide investment resources are dedicated to seek new efficient biomarkers able to better appreciate the risk of recurrence prognosis.
Marketing
Optimize and predict the success of future promotional operations
Manufacturers of consumer goods are subject to strong pressure from distributors and consumers to multiply promotional offers. Effective management of their promotional operations has become vital. MinerWorx has been used in this case to build a predictive model that can predict future situations, such as the success of a promotional operation.
