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Monarcha

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Monarcha is an AI-powered geospatial intelligence platform designed to streamline the georeferencing and digitization of maps and documents. It enables users to upload scanned geological, topographic, or legacy maps, automatically identifying coordinate systems, matching control points, and georeferencing them within seconds. The platform also extracts structured data from drill hole logs, assay certificates, and geochemistry results, transforming them into formats compatible with GIS and data management tools. Additionally, Monarcha digitizes features such as geological units, fault lines, and drill hole markers into vector layers, facilitating seamless integration with existing workflows. Key Features: - AI-Powered Georeferencing: Automatically identifies coordinate systems and georeferences maps, including local mine grids, UTM, and custom projections. - Document Extraction: Reads and structures data from drill logs, assay certificates, and geochemistry results, providing outputs in JSON format ready for modeling tools. - Full Digitization: Converts map features like polygons, lines, and points into vector layers, allowing for editing, refinement, and export as shapefiles. - Search & Query: Enables natural language queries across processed documents, unifying maps, drill data, reports, and geochemical data into a searchable system. - Integration with Existing Tools: Supports outputs in GeoTIFF, Shapefile, GeoJSON, structured JSON, and CSV formats, ensuring compatibility with platforms like ArcGIS, Leapfrog, and other GIS or data management systems. Primary Value: Monarcha addresses the challenges of manual georeferencing and data extraction by automating these processes, significantly reducing the time and effort required to transform scanned maps and documents into actionable geospatial data. This automation enhances accuracy, efficiency, and decision-making capabilities for professionals in mining, engineering, and related fields, allowing them to focus on analysis and interpretation rather than data preparation.

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