Flypix

Flypix is a geospatial intelligence platform that leverages artificial intelligence agents to automate the detection, monitoring, and inspection of objects in satellite, aerial, and drone imagery. The core functionality revolves around AI-driven object identification and boundary outlining across complex and dense scenes, enabling users to analyze vast geographic areas in a fraction of the time required for manual interpretation. The platform is designed for professionals working in industries such as agriculture, urban planning, environmental monitoring, infrastructure inspection, defense, and disaster response. Users upload georeferenced imagery—whether from public satellite sources, private drone surveys, or aerial photography—and the AI agents process the data to locate specific features like buildings, roads, vehicles, vegetation, water bodies, or man‑made structures. The system can be trained or configured to recognize custom object types based on user‑provided samples or annotation guidelines. The platform operates through a web‑based interface where users can define detection tasks, set parameters for sensitivity and scale, and review results interactively. Each detected object is presented with precise polygonal outlines, confidence scores, and metadata such as geographic coordinates and area measurements. The AI agents can be instructed to run at different levels of detail—coarse screening for large‑area surveys or fine‑grained analysis for critical assets. Results can be exported in standard GIS formats like GeoJSON, Shapefile, or CSV for further integration with mapping tools (e.g., QGIS, ArcGIS) or custom workflows. One key differentiator is the time saving: the platform claims to reduce manual annotation effort by up to 99.7%, based on internal benchmarks