Agrythm
Agrythm provides a pre-harvest intelligence platform that helps agricultural exporters, processors, and brands manage pesticide residue risk and build traceable, residue-safe crop supply. The platform combines hyperspectral, satellite, weather, and field observations to detect crop stress and residue-risk indicators, then guides plot-specific field actions aligned with buyer protocols and target-market MRLs. Its three-product suite—AgriSpectra, Trust-AI, and AgriAssure—connects sensing, action, and harvest-readiness verification into one field-to-supply workflow.
- Agriculture Technology
- Data & Analytics
- Regulatory & Compliance Technology
- Food Technology
- Artificial Intelligence
- Software Only
- Internet of Things
Funding
Founders
Founder details are not available yet.
Product
Problem
Conventional food procurement confirms pesticide residue compliance only after harvest, leaving exporters and processors exposed to the risk of rejected shipments and supply chain losses. Without earlier visibility into field-level spray decisions and crop practices, teams cannot correct course before the harvest is committed.
Solution
Agrythm provides an integrated pre-harvest intelligence platform that connects field sensing, guided pesticide decisions, and harvest-readiness verification in one workflow. The platform pairs hyperspectral, satellite, weather, and field observations to detect crop stress and residue-risk indicators, then translates those signals into plot-specific advisories aligned with buyer protocols and target-market MRLs. Field teams record crop practices and verify actions, building a traceable operating rhythm that culminates in procurement-ready evidence including compliant acreage, expected volumes, lab outcomes, and lot traceability. The system is designed to manage pesticide risk, track crop practices, and procure low-to-no pesticide harvests with confidence.
Target Audience
Primary customers are agricultural exporters, food processors, and brands that procure crops from farmer clusters and need residue-safe, traceable supply to meet target-market regulatory requirements. The platform also serves farmer-cluster operators and institutions involved in the agricultural supply chain.
Features
- AgriSpectra combines hyperspectral, satellite, weather, and field observations for early biotic and abiotic stress detection with plot-level anomaly and risk mapping
- Crop-specific spectral libraries calibrated for different commodities support earlier, more accurate residue-risk prediction
- Trust-AI enables buyer protocol setup, farmer and plot onboarding, field monitoring, MRL-aware advisories, and approvals with traceable action records
- AgriAssure consolidates harvest-readiness qualification, compliant acreage and volume visibility, lab outcomes, and lot traceability for release decisions
- End-to-end operating model supports configuration of buyer protocols, digitization of farmer clusters, guided field decisions, and qualified supply release