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About GISTechnician.ai
An open-source geospatial intelligence platform built to make the study of our Earth, and beyond, accessible to everyone.
What is GISTechnician.ai?
GISTechnician.ai is a open source project that combines the latest GIS algorithms and tools into a customizable. By keeping geospatial processing local, we ensure your spatial data stays private, secure, and entirely under your control.
Built on the QGIS codebase and released under the GNU General Public License (GPL) v2 or later, the project is, and will always remain, open to the public. Our primary goal is to advance the study of our Earth and planetary science, and keeping this platform free and open is central to that mission.
Whether you are a researcher analyzing satellite imagery, a government agency managing land use data, or an institution studying environmental change, GISTechnician.ai brings professional-grade geospatial capabilities to your desktop without cost or vendor lock-in.
Our Mission
Make geospatial technology accessible to scientists, governments, and institutions that can benefit from spatial data analysis, without technical barriers or licensing costs.
Our Vision
Advance the study of Earth and planets by building an open, collaborative ecosystem where spatial intelligence is a shared resource.
How It Started
GISTechnician.ai was born at the NASA Space Apps Hackathon, where a group of engineers and scientists came together with the belief that powerful geospatial tools should not be locked behind expensive enterprise licenses like ArcGIS or require data to be sent to the cloud.
What started as a hackathon prototype grew into a open source initiative, one built to bring GIS capabilities to any researcher or institution with a problem worth solving.
The Team
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Juan Estrada
Co-FounderComputer Scientist and Masters candidate in Urban and Spatial Analysis at the University of Pennsylvania. Juan architected the core platform and leads development, bringing together his background in GIS and software engineering to shape the project's technical direction.
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Deidre Morales
Co-FounderInformation Systems Engineer and Automation Engineer at NASA. Deidre brings deep expertise in systems integration and automation pipelines, ensuring GISTechnician.ai meets the reliability standards demanded by scientific and government workflows.
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David Maya
Machine Learning EngineerMachine Learning Engineer who joined the team at the NASA Space Apps Hackathon. David works integrating the latest spatial analysis models to make GISTechnician.ai smarter with every release.
Who We Build For
Scientists & Researchers
Run complex spatial analyses on local hardware without sending sensitive datasets to third-party servers. From ecology to urban planning, GISTechnician.ai supports the full research workflow.
Governments & Agencies
Deploy customizable GIS pipelines that comply with data sovereignty requirements. Keep geospatial infrastructure on-premises while still benefiting from AI-assisted analysis.
Academic Institutions
Give students and faculty access to professional-grade spatial tools at zero cost. GISTechnician.ai integrates with QGIS workflows educators already know, removing the learning curve.
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Ready to explore spatial data?
Download GISTechnician.ai, point it at your data, and start running analyses, entirely on your own machine.