LAYERS is the AI-powered crop monitoring and yield forecasting platform built by HEMAV Technology, trusted by agricultural operations across Latin America and Europe since 2011.
Every agricultural operation makes critical decisions with incomplete data. When you plan your processing capacity, negotiate supply contracts, or allocate harvest crews, the margin of error in your yield estimates directly affects your profitability.
We exist to reduce that uncertainty.
LAYERS combines satellite imagery, climate data, and agronomic history with proprietary machine learning models to generate weekly yield predictions at the parcel level. Not general estimates. Not regional averages. Predictions specific to your operation, your varieties, your conditions.
The result: you make decisions with numbers you can defend.
We are not a tech company that discovered agriculture. Our team spent 13 years working in the field with sugarcane, corn, soy, wheat, and cotton operations across multiple continents. The models we build account for regional varieties, local climate patterns, and the operational realities of harvest logistics. That depth cannot be replicated with funding rounds alone.
Our forecasting models are validated in real operating conditions, not in back-tests. We prove accuracy on your historical data during the pilot deployment, before asking you to commit. If we cannot prove it, we tell you before the contract, not after.
Every field geometry, every production record, every prediction generated for your parcels: it belongs to you. We use anonymized data to improve our models, but your proprietary information is never shared. That commitment is contractual, not aspirational.
Cumulative estimates based primarily on sugarcane deployments. Multi-crop impact data expanding as platform coverage grows.
Precision Agriculture. Measured Impact.
The world's largest sugarcane market
Commercial sugarcane and multi-crop operations
Guatemala, Costa Rica, and expanding
Multi-crop deployments
We are not entering agriculture for the first time. We have spent over a decade building the technical infrastructure and agronomic expertise that complex operations require.
LAYERS is developed by HEMAV Technology S.L., a company founded in 2011 with the mission to apply remote sensing and machine learning to agricultural decision-making.
Agronomic engineers with field experience across five major crops
Machine learning specialists trained on agricultural prediction problems
Customer success managers embedded in Latin American markets who speak your language and understand your harvest calendar
We are not a startup looking for product-market fit. We are an operating company with active clients, proven technology, and a roadmap built on real customer feedback.
13 years of agronomic intelligence, built for operations that cannot afford to be wrong.
Our goal is to forecast yields for 100 million hectares by the end of this decade.
We measure progress against this target every quarter. It is a commitment to building the infrastructure, accuracy standards, and customer relationships required to become the default platform for crop intelligence in Latin America and beyond.
If you manage thousands of hectares and need predictions you can trust, we built this platform for you.
15 minutes to understand if we are the right fit. No commitment required.