AI-powered satellite imagery analytics for climate-smart agriculture practices.
Sparkyai is a digital agronomist platform that uses satellite-based multispectral imagery, GIS, and AI models. By analyzing spectral bands, it tracks vegetation (NDVI), water stress (NDWI), soil quality (SAVI), and carbon levels at the field level, providing farm-specific, real-time advisory without costly on-farm hardware. Farmers create a simple profile, select their fields via GIS maps, and receive localized insights such as soil health reports, irrigation scheduling, fertilizer recommendations, weather alerts, and climate-smart practices in regional languages. This solution reduces guesswork, cuts fertilizer and water usage, increases yields, and improves soil health, potentially delivering up to 25% higher income. Sparkyai uses a community-based adoption model to ensure trust and scalability, making it a sustainable solution for smallholders.
2400000
We are currently working toward filing IP for our AI-driven geospatial data integration engine, which combines multispectral satellite imagery, soil datasets, and predictive algorithms into a unified advisory platform.
GSEA EO student entrepreneurship recognition top 42 startups globally | Dubai UAE food tech challenge top emerging startup in sustainability. Supported Indian Agricultural Research Institute. Finals in AI hackathon by Infoedge Ventures & Boeing Challenge IISc.
Our founding team combines deep agricultural roots and AI expertise, supported by data scientists, agronomy advisors, agriculture interns (B.Sc. Agriculture graduates), and mentors from incubation programs (NSRCEL, IIT TNIF, IARI) to ensure technical depth, farmer connection, and community-driven execution at scale.
Founder
Co-Founder