About WetuneAI
Deep expertise in drone orthophoto analysis and GIS-powered AI solutions for geospatial professionals
Our Story
WetuneAI was founded by a team of geospatial engineers and AI researchers with deep roots in drone remote sensing and GIS. Our journey started with a clear goal: to bridge the gap between raw aerial imagery and actionable geospatial intelligence.
We specialize in processing drone-captured orthophotos and applying AI models to extract meaningful geographic features. Building detection is our first publicly released capability — and just the beginning of a broader suite of geospatial AI tools we're building.
How We Evolved
Our work has always been grounded in real-world geospatial workflows. We started by deeply understanding how GIS professionals and drone operators work — the coordinate systems, projection challenges, and data quality issues unique to orthophoto pipelines.
That domain knowledge shaped every model we've trained. Today our AI handles diverse terrain types, varying flight altitudes, and different sensor characteristics. Building segmentation is live — and we're actively developing models for roads, vegetation, water bodies, and more.
Our Mission
Our mission is to make drone orthophoto analysis intelligent, fast, and accessible. We want GIS analysts, surveyors, and urban planners to spend less time on manual digitization and more time on insight and decision-making.
We're building a platform where a single orthophoto upload can automatically extract buildings, land cover, infrastructure, and more — each powered by purpose-trained AI models. We're starting with buildings, and we won't stop there.
Our Team
Our team combines hands-on experience in drone operations, GIS data processing, and deep learning. We've worked on real mapping projects — from urban cadastral surveys to post-disaster damage assessments — and we build our tools to solve the problems we've faced ourselves.
This blend of field experience and AI research is what sets us apart. We don't just train models on benchmark datasets — we validate them against real orthophoto workflows and GIS production standards.
Our Drive
Geospatial data is growing faster than humans can process it. Millions of square kilometers of drone imagery are captured every year, yet most of it still requires manual interpretation. We believe AI can change that — and we're driven to make it happen.
Every model we release is a step toward a fully automated geospatial analysis pipeline. We're motivated by the professionals who rely on accurate maps to make critical decisions — and we take that responsibility seriously.
Our Impact
Our building segmentation model is already helping urban planners, land surveyors, and GIS teams cut hours of manual digitization down to minutes. From city-scale cadastral mapping to construction site monitoring, the use cases keep growing.
As we expand our model library beyond buildings, we aim to become the go-to AI layer for any drone orthophoto workflow — giving geospatial professionals a powerful, reliable tool that understands the language of maps.