Use cases

Where the processing layer fits your offer.

Concrete integration points for teams that capture, review and deliver geodata to their own clients.

01

UAV forestry projects

Challenge: Orthomosaics and height products exist, but specialised forest AI analysis is missing.
Output: Normalised data, tree/crown candidates and a QGIS package.
Partner value: More value per flight project without an in-house ML team.

02

Digital forest inventory preparation

Challenge: Fieldwork and GIS review need structured pre-analysis layers.
Output: Candidate layers and structure metrics for professional review.
Partner value: More focused checks and consistent project preparation.

03

Tree and crown candidate layers

Challenge: Manual pre-segmentation is slow and difficult to scale.
Output: Point and polygon candidates with QA notes.
Partner value: A faster start for qualified review workflows.

04

CHM processing

Challenge: Height models vary in CRS, units, resolution and quality.
Output: Checked, clipped and normalised CHM.
Partner value: A dependable technical basis for downstream analysis.

05

QGIS delivery packages

Challenge: Results need to be clear and immediately usable.
Output: GPKG, COG, CSV, QGIS project, manifest and QA note.
Partner value: Less hand-off work and a more professional client experience.

06

Carbon project preparation

Challenge: Early project stages need spatial structure information.
Output: Exploratory forest structure layers for scoping and review.
Partner value: Carbon project preparation, not finished carbon certification.

07

Forestry review workflows

Challenge: Professionals need prioritised evidence rather than undocumented automation.
Output: Reviewable candidates, flags and reproducible processing.
Partner value: Professional control remains central.

08

Asset factory for partners

Challenge: Recurring projects create inconsistent files and processes.
Output: Defined schemas, naming, manifests and delivery structures.
Partner value: Scalable production under your own brand.

Start with real data

Start with sample processing.

Send a bounded dataset. We will clarify raster foundations, deliverable forest layers and the right documentation depth.

Test your data Discuss evidence pack