Hemav
Hemav: AI + drone + Satellite
We offer products through the combination of Artificial Intelligence and the use of drone and satellite technology in the agricultural and energy sector.
Meet usIndustries
Utilities
Preventive and predictive maintenance recommendations for asset management
Preventive and predictive maintenance recommendations for asset management
Precision Agriculture
Agronomic recommendations to optimize crop production achieving the desired level of quality
Agronomic recommendations to optimize crop production achieving the desired level of quality
Hardware
MOM
Flight and Operations tool
Agro Layers
Visualisation, management & exploitation of agronomic recommendations
Utilities Layers
Visualization, management & exploitation of geospatial data
Drone Watch
Real-time, worldwide monitoring of all operating platforms
Digital products
Layers, our artificial intelligence software (AI), offers agronomic recommendations to the agricultural sector to make treatments more efficient and generate estimates of crop production at production and quality levels.
Analytic Layers
Treatment Layers
Predictive Layers
Our platforms
We develop exclusive drone platforms for both agriculture and energy sectors.
These platforms allow us to acquire high resolution aerial data that we process to offer a quality analytical product to our clients.
We keep growing
+ than 800
clients worldwide
4th position
in the world ranking of drone companies according to Droneii
1st company
of precision agriculture within the 4 first places of the world ranking of Droneii
+ than 100
platforms flying daily
Latest Projects
Bodegas Lahoz
PRECISION AGRICULTURE
Discover the tangible and quantified benefits obtained by Bodegas LAHOZ thanks to our reports and agronomic recommendations
See projectUnión Fenosa
INDUSTRIAL INSPECTION
Preventive maintenance inspection of the elements that make up a high voltage pylon of the Gas Natural Fenosa group
Argasol
PHOTOVOLTAIC INSPECTION
Analysis by certified thermographers, ad-hoc reports and failure assessment of modules segmented by the manufacturer
