DARBOTS provides an AI‑powered inspection platform that digitizes tree management workflows for municipalities, utilities, and infrastructure operators.
Funding
Funding not disclosed
Founders
Product
Problem
Urban tree and infrastructure inspections rely on labor‑intensive manual surveys, leading to inconsistent data, slow inventory updates, and delayed identification of structural hazards or disease, which can increase maintenance costs and public safety risks.
Solution
Darbots offers an AI‑powered inspection platform that digitizes the entire workflow for tree management. Field teams use dedicated capture hardware to scan trees, automatically generating high‑resolution 3D models and image data. Proprietary AI algorithms analyze the data to detect structural defects, disease symptoms, and branch‑failure risks. The results are presented in a decision‑ready software interface that provides searchable inventories, risk scores, and maintenance prioritization for city managers and arborists. This end‑to‑end solution accelerates data collection, improves accuracy, and enables proactive, data‑driven maintenance planning.
Target Audience
Primary customers are municipal tree departments, utility companies, and infrastructure operators that need efficient, accurate tree inventories and risk assessments for maintenance planning.
Features
- Portable AI scanner hardware that captures 3D geometry and multispectral imagery of trees in seconds
- Automated detection of structural issues, disease indicators, and branch‑failure risk using trained computer‑vision models
- Real‑time generation of digital tree inventories with standardized attribute fields
- Risk assessment dashboards that rank trees by hazard level and suggest maintenance actions
- Integration with GIS and asset‑management systems for seamless workflow incorporation
- Cloud‑based analytics pipeline that stores, processes, and visualizes inspection data for teams and decision‑makers