Turn maps into data
Historical maps, plats, and survey documents are difficult and time-consuming to align to real-world coordinates, leaving valuable spatial data locked in unstructured files.
Monarcha is an AI-powered georeferencing platform that converts uploaded scanned maps and land documents into accurate, queryable GIS layers in seconds.
Mining, infrastructure, and land intelligence teams at organizations that need to digitize and analyze geospatial data from legacy documents.
James is a Co-Founder of Monarcha. He holds a B.A. in Sociology from Cornell University and led Cornell Digital Tech & Innovation, the university's largest undergraduate engineering project team. Previously, he designed for Station-F backed startup Loop, and built a multi-agency alerts systems at Mark43, where he was also first exposed to GIS software. He also is an accomplished photographer, having published books and won prizes at the International Photography Awards.
Everett is a Co-Founder of Monarcha. He graduated early from Cornell Engineering with a degree in Computer Science and began a CS master's, before dropping out to build Monarcha. He did research as part of Cornell's AI Innovation Lab and led Machine Learning Engineering at Cornell Data Science. Previously, Everett worked as an AI Engineer building computer vision models at WEX and as a Data Scientist at Avalara.



