Productised packages

Start small. Standardise later.

Start with a bounded dataset. Once the workflow fits, we standardize outputs, handoff and repeatability.

Sample Processing

from €490

Best forFirst real dataset and technical feasibility

For partners who want to see what can be derived from their UAV/GIS data.

Scope

Bounded AOI with available UAV/GIS data. We can also assess imagery and sidecars as a raster foundation.

  • Data check
  • Small AOI subset
  • 1–2 output layers
  • Sample manifest
  • Short result note
  • Partner call
QA / evidenceData review + sample manifest
Test your data

Forest Metrics Pro

from €3,500 per project

Best forExtended metrics and documentation

Extended structure metrics and partner-ready project documentation.

Scope

For layers, raster foundations, metrics and a more thoroughly documented handoff package.

  • Everything in Essentials
  • Height statistics
  • Crown areas
  • Crown-diameter proxy
  • Canopy density
  • QA report
  • Partner-branded summary
  • Optional pilot modules: canopy gap / health screening
QA / evidenceQA report + manifest
Discuss the output package

Partner Engine

custom

Best forRecurring processing with fixed schemas

For recurring white-label partners with defined workflows.

Scope

For teams offering raster and forest layers repeatedly under their own brand.

  • Recurring processing
  • Defined output schemas
  • Partner branding
  • Prioritisation
  • API/S3 hand-off
  • NDA available
  • No end-client contact
  • Repeatable audit trail
QA / evidenceStandardised audit trail
Plan a partner workflow
CHAINOFEVIDENCE

Premium add-on

Evidence Pack

A structured project record with input/output references, checksums, parameters, processing steps, QA notes and handoff documentation.

from €750 per projectDiscuss evidence pack

Final scope is confirmed after data review and requested outputs.

Start small. Standardise later.

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.