HEMAV is a technology company offering data analytics through Artificial Intelligence, boosted by the use of drone and satellite images.

LAYERS. PROPRIETARY TECHNOLOGY

HEMAV has built a unique system based on Artificial Intelligence using calibrated precision drone and others data information to bring knowledge to agriculture and utilities industries.

drone, artificial intelligence, precision agriculture, inspection drones, agriculture software, infrastructure software

drone, artificial intelligence, precision agriculture, agriculture software

LAYERS. AGRICULTURE

Layers for agriculture is a unique system based on Artificial Intelligence using calibrated precision drone and agronomic data, creating prediction capabilities at the forefront of agroscience.

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LAYERS. UTILITIES

Layer for utilities is a digital solutions for predictive savings. Using big-data and machine learning algorithms we predict potential defects and alert the client of maintenance needs, therefore reducing service outages and costs. Layers also creates precise predictions of vegetation control requirements to prevent fires, etc.

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drone, artificial intelligence, inspection drones, infrastructure software

Keep growing

drone, artificial intelligence, precision agriculture, inspection drones, agriculture software, infrastructure software - hemav worldwide

+ de 800

customers around the world

4ª position

in the world ranking of drone companies according to Droneii

1ª company

of precision agriculture within the first 4 positions of the Droneii world ranking

+ de 100

drones flying daily

Last projects

Bodegas Lahoz
PRECISION FARMING

Discover the tangible and quantified benefits obtained by LAHOZ Wineries through agronomic reports and recommendations

See project
Inspectlayers
INDUSTRIAL INSPECTION

In this project a 360º solution applied to the world of the management of electric infrastructure assets will be developed.

See project
Argasol
INDUSTRIAL INSPECTION

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

See project