Water quality under surveillance
LISA measures turbidity, dissolved oxygen, pH, conductivity, E. coli, hydrocarbons and heavy metals to prevent spills and damage to the ecosystem.

We digitize rivers, lakes, wetlands and mountains with water, soil, air, fauna and security sensors for more sustainable and safe management.













Green Shield Nature integrates LISA, TERRA, METEO, ECO LEVEL, ECO FILLING and NEXUM to monitor ecosystems in real time and anticipate environmental risks.
LISA measures turbidity, dissolved oxygen, pH, conductivity, E. coli, hydrocarbons and heavy metals to prevent spills and damage to the ecosystem.
TERRA monitors humidity, temperature, salinity, nutrients, and contaminants to protect soil and groundwater.
METEO records temperature, humidity, radiation, wind and atmospheric pollutants to assess the impact of climate change on the environment.
ECO LEVEL and ECO FILLING control river, reservoir and waste levels to prevent flooding and optimize the use of water resources.
NEXUM geolocates people, detects falls and immobile people, and allows emergency alerts even in areas with poor connectivity.
We transform your natural spaces into a digital twin to better care for your ecosystems with real-time data.
At WDTech, data is designed for action.
"The relationship we have, the discussions with our clients, how we plan the future together, the synergy between Wdtech and our partners, and how we create value together... that's a highlight of what Wdtech offers."Conocer más
Many companies needed a comprehensive solution to manage their IoT devices, but they faced fragmented systems and disconnected processes. As a result, there was no easy way to identify what actions needed to be taken to optimize their operations.
Wdtech developed a unified platform that allows companies to manage all their IoT sensors and devices from a single point. By consolidating all data in real time, they can now assess the health of their assets on a common basis and gain actionable insights based on intelligence, rather than assumptions.