Agromai provides AI-driven geospatial analytics for Brazilian grain producers, using deep‑learning models that process multi‑temporal satellite data to reconstruct the last five years of each field’s history. Their platform estimates per‑hectare yields, identifies planting windows, detects crop type, and links climate events to productivity, delivering technical reports that can be used for financing and risk assessments.
Funding
Funding not disclosed
Founders
Product
Problem
Brazilian grain producers often lack reliable, parcel‑level data on past crop performance, planting dates, and climate impacts because traditional assessments require on‑site inspections and are limited in scale and speed.
Solution
Agromai offers an AI‑driven geospatial analytics platform that reconstructs the five‑year history of every field parcel using proprietary deep‑learning models applied to millions of satellite observations. The system generates parcel‑level estimates of crop type, planting window, productivity, and climate events, producing technical reports such as the VMG certificate to support financing, dispute resolution, and compliance. Analyses are performed on Google Cloud infrastructure, delivering results in minutes for millions of hectares without the need for field visits.
Target Audience
Primary customers are grain producers, agribusiness financiers, and legal entities in Brazil that require detailed, verifiable evidence of field performance and climate impacts for loan underwriting, debt renegotiation, or judicial proceedings.
Features
- Biocore model estimates individual parcel productivity in sacks per hectare, based on field‑specific data rather than regional averages
- Chrono‑Picker model identifies the precise planting window for each parcel using multitemporal satellite imagery
- Anduril model classifies the cultivated crop per parcel with high accuracy, including detection of pasture as a primary class
- Gwaihir model evaluates climate conditions and links temperature and precipitation to phenological stages, mapping adverse events such as drought, heat stress, excess rain, and waterlogging
- End‑to‑end processing on Google Cloud enables analysis of millions of hectares in minutes, eliminating the need for manual inspections
- Generates VMG technical certificates that provide objective, traceable evidence for financial institutions, courts, and creditors