Our Technology

Cutting-edge geospatial intelligence for revolutionizing soil health monitoring

Explore Our Innovations

Our Technological Pillars

Advanced AI Models

Science-based proprietary machine learning using neural networks for unparalleled prediction power.

Satellite Data Integration

Utilizing multiple satellite systems for comprehensive geospatial analysis

Data Visualization

Intuitive dashboards and reports for actionable insights

Our API Advantage

Unlock the full potential of our soil health monitoring technology with our powerful and fully documented API.

Comprehensive Documentation

Detailed guides and examples for seamless integration

Secure & Scalable

Enterprise-grade security with scalable infrastructure

Real-time Insights

Access and analyze data in real-time for timely decisions

Advanced AI Models

Neural Network Architecture

Comprehensive Dataset

Trained on 350,000+ soil samples, ensuring robust and accurate predictions across diverse geo-ecological zones.

Advanced Architecture

Utilizes multi-layered perceptrons and convolutional layers to process complex geospatial data with unparalleled accuracy.

Continuous Learning

Our model undergoes constant refinement, incorporating new data and adapting to changing environmental conditions.

Key Performance Metrics:

  • 85%+ accuracy in diverse geo-ecological zones
  • Real-time soil health predictions
  • Scalable to analyze vast agricultural landscapes
AI Model Visualization

Satellite Data Integration

Satellite Data Visualization

Multi-Source Satellite Data

We integrate data from multiple satellite systems to provide comprehensive and accurate geospatial analysis for soil health monitoring.

Sentinel-2
Landsat-8
MODIS
Planet Labs
SPOT
RapidEye
WorldView-3
Pleiades