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Build
Turn Raw 3D Scans Into Answers You Can Build On
Segment any 3D scene into labeled trees in seconds and query it in plain language, on real measured ground truth rather than generated guesses.
Who It's For
Anyone building on measured tree data.
Developers
AI Researchers
Academia
Robotics & ML Teams
What You Get
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Instant Segmentation
Any point cloud split into labeled objects in seconds.
Natural-Language Query
Ask questions of any object. No GIS expertise needed.
Measured Ground Truth
Real geometry, species, health, and change over time.
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What You Can Do With It
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Validate Generated Worlds
Check a model's output against measured reality.
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Train On Real Biology
The layer generic 3D lacks: species, health, time.
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Navigate The Unmapped
Dense, vegetated, GPS-denied terrain no map covers.
How It Works
Ingest
LiDAR, photogrammetry, satellite and aerial imagery. Any source.
Segment
The scene splits into labeled objects: trees, buildings, poles, ground.
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Measure & Fuse
Structure, species, and health, fused with ground sensors and citizen data.
Query & Serve
Ask in natural language, or pull structured data and scores through the API.
Georeference
Every object placed at sub-10cm accuracy and versioned over time.