LiDAR & projection modelling
Develop measured 3D tree representations and explore how structure could change under defined conditions.
MEASURED STRUCTURECrannAI is a tree-technology platform built around measured structure, arboricultural judgement and computational modelling — from LiDAR-informed projection modelling to professional arboricultural intelligence.

01 / THE IDEA
The long-term research goal remains the same: take an individual tree recorded by LiDAR, reconstruct its structure through a plausible growth history and explore how it could develop from there.
CrannAI brings measured tree information into a practical professional setting, connecting site evidence with clear analysis, informed decisions and useful outputs for arborists.
Why CrannAI exists ↗02 / THE PLATFORM
Develop measured 3D tree representations and explore how structure could change under defined conditions.
MEASURED STRUCTUREDevelop biologically plausible year-by-year tree models and eventually test how stated conditions or management decisions could alter future development.
RESEARCH ENGINEBring project evidence together to support clearer arboricultural findings, drafting and professional review.
COMMERCIAL V1
CURRENT WORK / CRANNAI SUITE
A tree cannot be understood from one measurement or one document. CrannAI brings survey observations, site context and design information together so professionals can see the constraints, opportunities and uncertainties that matter.
The aim is practical: clearer project assessments today, with measured-tree and projection-modelling capabilities developing alongside them.
CrannAI helps make the evidence easier to examine while keeping professional judgement at the centre of every decision.
Open CrannAI Suite ↗03 / FIELD NOTES
The project and technology pages explain the current direction in the meantime.
CRANNAI SUITE
Organisation users and API customers access their entitled products through the private CrannAI Suite.
Access is organisation-controlled. Public self-registration is not enabled.