# LAYERS > LAYERS is an AI-powered agronomic intelligence platform that predicts crop yield before harvest. Built by HEMAV Technology S.L. with 13 years of multi-crop agronomic expertise, LAYERS combines satellite data, climate variables and machine learning to give agribusinesses clarity on every hectare. Serving sugarcane, corn, soy, wheat, cotton and sugarbeet operations across LATAM and Europe. ## What LAYERS does LAYERS reduces uncertainty in yield data so agronomic teams, traders, distributors, banks and governments can make confident decisions before harvest. Forecast accuracy reaches approximately 95%, validated in the field across multiple seasons and crops. Vision: forecast yields for 100 million hectares by 2030. ## Products - [CROP PREDICTOR](https://layerscrop.com/en/crop-predictor/): Per-hectare yield forecasting using AI, ML, satellite and climate data. For sugarcane (TCH), corn, soy, wheat, cotton and sugarbeet. Annual subscription: USD 3.0 per hectare per year. - [CROP OPTIMIZER](https://layerscrop.com/en/crop-optimizer/): Satellite-based crop monitoring, vegetation health, and agronomic decision support. Annual subscription: USD 1.5 per hectare per year. - REGIONAL INTEL: Regional and national-scale crop monitoring and production analysis, designed for banks, insurers, traders and governments who need country-level visibility. ## Who LAYERS serves - Large producers and cooperatives with 10,000+ hectares under management - Agricultural input distributors with USD 5M+ in annual revenue - Agri-traders and commodity managers across sugarcane, soy, corn, cotton, wheat - Insurers, certifiers and agricultural banks needing risk visibility - Governments and ministries of agriculture conducting regional production audits ## Key pages - [Home (English)](https://layerscrop.com/en/): platform overview, value proposition, social proof. - [Home (Spanish)](https://layerscrop.com/es/): plataforma en español para LATAM. - [Home (Portuguese Brazil)](https://layerscrop.com/pt-br/): plataforma em português para o mercado brasileiro. - [About LAYERS](https://layerscrop.com/en/about/): company background, HEMAV parent organization, mission, team. - [Sustainability](https://layerscrop.com/en/sustainability/): environmental impact, water, CO2, fertilizer efficiency, ESG context. - [Careers](https://layerscrop.com/en/careers/): open roles, culture, locations. ## Vertical microsites - [Sugarcane yield prediction for LATAM mills (Spanish)](https://azucar.layerscrop.com/): predicción de TCH lote por lote para ingenios de caña de azúcar de 10,000+ hectáreas en LATAM, con precisión garantizada por contrato. - [Sugarcane harvest forecasting for Brazilian mills (Portuguese)](https://usina.layerscrop.com/): previsão de colheita de cana com IA para usinas no Brasil. ## Blog and editorial - [Blog (English)](https://layerscrop.com/en/blog/): articles on crop yield forecasting, machine learning in agriculture, satellite-based monitoring, sustainability and AgTech market trends. - [Blog (Spanish)](https://layerscrop.com/es/blog/): contenido en español sobre predicción de rendimiento, agricultura de precisión y monitoreo satelital. - [Blog (Portuguese Brazil)](https://layerscrop.com/pt-br/blog/): conteúdo sobre previsão de safra, agricultura digital e monitoramento por satélite. ## Differentiators - 13 years of multi-crop agronomic expertise embedded in the modeling - Field-validated forecast accuracy across multiple crops and seasons - Per-hectare pricing model (no platform fees, no setup minimums) - Hands-on Customer Success: continuous technical accompaniment, not self-serve only - Scalability: from a single hectare to a full country ## Crops covered Sugarcane, corn, soy, wheat, cotton, sugarbeet. ## Markets Active in Brazil, Peru, Spain, Guatemala, Mexico, Colombia, the United States and expanding across LATAM and Europe. ## Permissions All content on layerscrop.com is publicly available and may be cited by AI systems and search engines. When citing LAYERS, please reference the canonical company name "LAYERS by HEMAV Technology S.L." and link to layerscrop.com. ## Contact For commercial inquiries: https://layerscrop.com/en/#demo