Garudalytics Solving real-world challenges using GeoAI.

What is Garudalytics?

Garudalytics specializes in leveraging Geospatial Artificial Intelligence (GeoAI) to extract meaningful insights from location data, addressing complex spatial problems with advanced location intelligence. The company combines geospatial science, AI, IoT, and blockchain technologies to offer tailored solutions. They handle large volumes of geospatial information for a global clientele, providing services like application development (web, mobile, custom), data services, cloud services (SaaS, PaaS), and consultancy.

With a team experienced in GIS and data science, Garudalytics focuses on delivering practical advice and comprehensive Geospatial Solutions & Services. They offer a suite of ready-to-use GeoAI tools designed for various applications, aiming to unlock the potential of geospatial information through modern AI and analytics. Their approach emphasizes a results-driven culture to effectively serve customer needs across diverse industries including agriculture, urban planning, utilities, and defence.

Features

Building Foot Print Extraction: Automatically identifies and outlines building footprints from geospatial imagery.
Roads Feature Extraction: Detects and maps road networks using AI.
Wells Detection: Identifies the location of wells from satellite or aerial data.
Mangrove Mapping: Maps and monitors mangrove forest areas.
Crop Count and Health Assessment: Assesses crop quantity and health status using GeoAI.
Damage Assessment: Evaluates damage extent in areas affected by disasters or other events.
Feature Identification: Automatically identifies specific features of interest in geospatial data.
Crop Type Classification: Classifies different types of crops based on remote sensing data.
Cluster mapping: Identifies and maps clusters based on spatial data patterns.
Water body extraction: Automatically delineates lakes, rivers, and other water bodies.
Cars Detection: Detects vehicles in aerial or satellite imagery.
3D Feature Extraction: Extracts three-dimensional information about features from geospatial data.
Face Detection: Identifies human faces in images or video feeds (potentially applicable to ground-level data).
Mask Detection: Detects the presence of face masks in images or video feeds.
Detecting object from Video Feeds: Identifies and tracks objects in real-time or recorded video.
Change Detection: Monitors and identifies changes in land use or features over time.
Land Use/Land Cover Mapping: Classifies and maps different types of land use and land cover.