ManufacturingA push-button drone flies into a dense forest, navigates between trees without GPS or human input, scans more than 800 trees in 10 to 20 minutes, and produces a survey-grade 3D map with tree-level metrics — diameter, height, volume, carbon indicators, even wood quality class. No manual piloting. No clearing. No external positioning system.
This is the system Deep Forestry has built using Ouster's OS0 digital lidar, and it represents one of the cleanest examples in 2026 of what happens when high-quality 3D sensors meet domain-specific deep learning models. The combination is reshaping forest inventory, carbon credit verification, and biodiversity protection — three markets that until recently relied on rough manual estimates and visual extrapolation by trained surveyors.
For enterprise AI buyers tracking the physical AI wave, Deep Forestry's deployment is a case study in how the lidar-plus-foundation-model stack is moving from autonomous vehicles into industrial verticals where it matters far more.
