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 us

Industries

servicios inteligencia artificial drones hemav agricultura y energia

Utilities
Preventive and predictive maintenance recommendations for asset management
Precision Agriculture
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.

Find out more

We keep growing

hemav - drone technology

+ 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 project
Unión Fenosa
INDUSTRIAL INSPECTION

Preventive maintenance inspection of the elements that make up a high voltage pylon of the Gas Natural Fenosa group

See project
Argasol
PHOTOVOLTAIC INSPECTION

Analysis by certified thermographers, ad-hoc reports and failure assessment of modules segmented by the manufacturer

See project