Pricing, accuracy, supported crops, data security and how the platform fits into your operation. If your question is not here, talk to our team.
The company behind the platform.
LAYERS is an AI-powered agronomic intelligence platform built by HEMAV Technology S.L. It predicts crop yield before harvest and provides satellite-based field monitoring across sugarcane, corn, soy, wheat, cotton and sugarbeet. The platform has 13 years of trajectory in production environments across LATAM and Europe.
Traditional yield estimation relies on manual sampling, expert intuition and historical averages, with typical forecast errors of 15 to 25 percent. LAYERS combines satellite imagery, climate data and machine learning to bring forecast accuracy close to 95 percent, validated in the field, and to deliver that visibility per hectare rather than per region.
LAYERS uses a per-hectare annual subscription. Crop Optimizer costs USD 1.5 per hectare per year. Crop Predictor costs USD 3.0 per hectare per year. The combined platform costs USD 4.5 per hectare per year. There are no platform fees or setup minimums.
LAYERS treats customer field boundaries, yield records and operational data as confidential. Data is stored in cloud infrastructure with industry-standard access controls. Aggregate, anonymized signals may inform model improvements, but individual operation data is never disclosed to third parties.
LAYERS is used by large agribusiness producers and cooperatives, agricultural input distributors, agri-traders and commodity managers, insurers and agricultural banks, and ministries of agriculture. It serves operations from a few hundred hectares to country-level deployments.
You can request a technical demo at https://layerscrop.com/en/#demo. A LAYERS team member will get back to you within one business day to schedule a call calibrated to your crop, region and operating model.
What buyers ask before bringing LAYERS into their operation.
LAYERS Crop Predictor is an AI-powered yield forecasting tool that estimates per-hectare production weeks before harvest. It combines satellite imagery, climate variables and machine learning models trained on 13 years of multi-crop agronomic data. It is designed for sugarcane, corn, soy, wheat, cotton and sugarbeet operations.
Sugarcane (TCH), corn, soy, wheat, cotton and sugarbeet. The same platform supports several crops in parallel so multi-crop operations can run a single forecasting workflow across the portfolio.
Forecast accuracy reaches approximately 95%, validated in the field across multiple seasons and crops. Accuracy depends on data availability, parcel size and crop maturity at the time of prediction. LAYERS communicates accuracy ranges per crop, never as a flat guarantee.
Crop Predictor is sold as an annual per-hectare subscription at USD 3.0 per hectare per year. There are no platform fees or setup minimums. Customers who add Crop Optimizer pay USD 4.5 per hectare per year for the combined platform.
LAYERS is active in Brazil, Peru, Spain, Guatemala, Mexico, Colombia and the United States, with expansion across LATAM and Europe. The platform is delivered via web and works for operations of any size, from a few hundred hectares to country-level deployments.
No. LAYERS is built by HEMAV Technology S.L. and has 13 years of trajectory in agronomic intelligence. The team has operated in production environments across multiple crops, geographies and customer types since 2012.
What agronomic teams ask before adopting LAYERS for daily field decisions.
LAYERS Crop Optimizer is a satellite-based crop monitoring platform that delivers per-parcel vegetation health, water stress, weed detection and agronomic alerts. It is built so agronomic teams can see every hectare before they reach the field, reducing windshield time and prioritizing field visits where they matter.
Crop Optimizer focuses on operational monitoring and decision support across the season, parcel by parcel. Crop Predictor focuses on per-hectare yield forecasting before harvest. Many customers use them together: Optimizer to manage the crop in-season, Predictor to anticipate the result of the cycle.
Crop Optimizer is sold as an annual per-hectare subscription at USD 1.5 per hectare per year. No platform fees, no setup minimums. Customers who add Crop Predictor pay USD 4.5 per hectare per year for the combined platform.
Yes. The platforms share data layers and the same field boundaries. The combined annual subscription is USD 4.5 per hectare per year and gives the operation both in-season monitoring and pre-harvest yield forecasting.
Sugarcane, corn, soy, wheat, cotton and sugarbeet, plus broader coverage on demand. Vegetation indices and alerts adapt to the crop and growing stage.
LAYERS includes hands-on Customer Success: continuous technical accompaniment by the agronomic team, not self-serve only. Onboarding, validation and seasonal reviews are part of the engagement, calibrated to each customer's operating model.
Talk to a LAYERS team member, calibrated to your crop, region and operating model.