Blog
Technical deep-dives, customer case studies, and product news from the Monarcha team.
Heterogeneous vs Homogeneous Georeferencing: Why the Modality Gap Breaks Legacy Map Pipelines
A technical primer on cross-modal image matching and why the modality gap is the single biggest reason traditional georeferencing tools fail on hand-drawn plats, mylar overlays, and faded zoning maps.
Read more →Open-Source QGIS Georeferencer vs Automated AI Georeferencing: When Each Is Worth It in 2026
An honest comparison of the free QGIS Georeferencer plugin against automated AI georeferencing. When the desktop workflow is the right call, when a hosted or on-prem AI service earns its cost, and a decision matrix for archive owners.
How to Georeference a Scanned Map: A 2026 Guide (UTM, State Plane, and Custom Grids)
Step-by-step walkthrough: identify the projection, assemble a basemap, place or auto-detect ground control points, pick a transformation, evaluate residuals, and export a clean GeoTIFF. Works for both QGIS and automated pipelines.
Introducing the Survey Map Georeferencer
Our new AI georeferencing engine, trained on 100,000 annotated map pairs, aligns historic plats, cadastral surveys, and field sketches to modern coordinates in seconds for county governments, city planning offices, and AEC firms.
Soviet Military Maps of China, Georeferenced and Open
We georeferenced hundreds of classified Soviet 1:200k topographic maps of China and built a free, open atlas to explore them.
Raster to Vector: Converting Zoning and Land Use Maps to GIS Data
A practical guide to converting scanned zoning maps and land use plans into attributed vector GIS data, and why traditional raster-to-vector tools fall short.
Securing America's Critical Minerals
How digitizing legacy geological data can accelerate domestic mineral exploration and strengthen supply chain resilience.
Why Your Aerial Imagery Doesn't Line Up
Drone orthomosaics, satellite captures, and scanned aerial photos often land meters away from your GIS data. The causes, the consequences, and how to fix it.
Building a State-of-the-Art Model for Geological Map Digitization
How we built a deep learning model that performs panoptic segmentation on geological maps, and why geological cartography is one of the hardest problems in computer vision.
Semantic Retrieval Across AEC Map and Survey Archives
How architecture, engineering, and construction firms turn decades of legacy survey deliverables, civil drawings, and as-built archives into a spatially indexed, semantically searchable intelligence layer.
What is Georeferencing?
A deep dive into the process of aligning scanned maps to real-world coordinate systems, and how AI is making it faster and more accurate than ever.
The Hidden Cost of Inaccessible Legacy Mine Data
Mining companies lose millions re-drilling and re-surveying because historical geological data is trapped in paper archives. How AI digitization unlocks legacy mine data for modern exploration.
Monarcha Raises $1.6M Seed Round Backed by Y Combinator
Monarcha has raised a $1.6M seed round led by Y Combinator, with participation from Transpose Platform, BLAST, Cloverfield, 468 Capital, and angels including Paul Graham.