tarla.io harnesses diverse agriculture-related climate and field-level data to produce highly accurate, hyper-local field risk assessments and claim verifications preventing losses to fraudulent claims and information asymmetry for insurers and monitoring seasonal cultivation and risks for financiers.

We use the following types of data to develop products for the agricultural sector:

1. High frequency, high resolution satellite images (Landsat, Sentinel, Planet Labs, etc)
2. Live severe weather and lightning data (RF Lightning sensors operated indigenously)
3. Live and derived precipitation radar data
4. Forecast data and historical meteorological data.

Over 50,000+ farmers and 450,000 farms have already been serviced by products we have developed for various clients over this period. Institutions and individual farmers take advantage of our services to learn the meteorological risks in their fields and act accordingly.