The startup offers a soil health monitoring platform that utilizes satellite data and artificial intelligence to assess nutrient levels in farmland topsoils. By providing actionable insights and analytics on regenerative agriculture practices, the platform enables farmers to enhance soil regeneration and improve biodiversity and water retention on their land.
Funding
$380K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Monitoring soil health and nutrient levels across large agricultural areas traditionally requires extensive manual soil sampling, which is costly, time-consuming, and provides only localized data. This lack of comprehensive and frequent soil data hinders effective decision-making for sustainable land management and regenerative agriculture practices.
Solution
Spatialise offers a soil health monitoring platform that leverages satellite data and AI to provide scalable and accurate assessments of soil nutrient levels. The platform uses a proprietary machine-learning model trained on a comprehensive dataset of over 350,000 soil samples to predict soil health indicators across diverse geo-ecological zones with over 85% accuracy. By integrating data from multiple satellite systems, Spatialise delivers frequent and periodic global soil nutrient predictions at a 10x10m resolution. This enables stakeholders to remotely monitor soil health, understand land interventions, and make data-driven decisions for sustainable land use, reducing soil depletion and supporting resilient ecosystems.
Target Audience
The primary target audience includes farmers, agricultural professionals, policymakers, and organizations focused on sustainable land management and regenerative agriculture practices.
Features
- AI-powered soil health predictions using neural networks trained on extensive field data
- Integration of data from multiple satellite systems, including Sentinel-2, Landsat-8, MODIS, Planet Labs, SPOT, RapidEye, WorldView-3, and Pleiades
- Global soil nutrient prediction at a 10x10m resolution
- API access for real-time data integration and analysis
- Intuitive dashboards and reports for actionable insights
- Monitoring of over 200,000 hectares annually across 6 continents