AI Scanner for the Physical World

From field data capture → automated analysis → decision-ready insights
Transform tree and infrastructure inspections with scalable, data-driven workflows

Video from Research Projects carried by Hadi and Qiguan (our co-founders) funded by DFG ( RTG-UGI / UGS4.0 ) © gtla* TUM

Built for Tree Operations. Designed as a Platform.

Darbots delivers AI-powered inspection workflows for urban tree management, helping cities, utilities, and infrastructure operators move from labor-intensive field inspections to scalable digital operations. We combine field capture hardware, automated analysis, and decision-ready software so teams can inventory trees faster, assess risks earlier, and prioritize maintenance with confidence.

Product Clarity

A complete workflow for modern tree management

Clear value for field teams, city managers, and arborists without hiding behind generic AI language.

Tree Inventory

Capture reliable tree data in the field with our AI-powered scanner, building a digital inventory that is faster and more consistent than manual surveys.

Risk Assessment

Detect structural issues, illness indicators, and branch-failure risks through automated analysis that helps teams focus on the trees that need attention first.

Decision Support

Turn field data into maintenance priorities, work plans, and operational insight that arborists and decision-makers can act on immediately.

Urban tree inspection challenge

Why It Matters

Tree inspection is essential, but hard to scale

Maintaining healthy and safe urban trees takes time, expertise, and repeatable data collection. Yet many operators face staff shortages, fragmented workflows, and limited capacity to inspect every tree thoroughly.

Darbots reduces this operational bottleneck by making field capture, analysis, and prioritization part of one connected system instead of a patchwork of manual steps.

How It Works

Scan → Analyze → Decide

The product starts with tree workflows, but the underlying system already combines hardware, AI, and SaaS in a reusable platform architecture.

Hardware

Scan

Deploy scanners and cameras in the field to collect structured, high-quality data around trees and surrounding conditions.

AI Layer

Analyze

Process point clouds and imagery with proprietary computer vision models to identify growth patterns, defects, and maintenance risks.

SaaS Layer

Decide

Deliver results through a software workflow that supports prioritization, reporting, and maintenance planning for distributed teams.

Our Team

Hadi Yazdi

Hadi Yazdi

CEO & Co-Founder

Business Development and Management,
Machine learning and Remote sensing in Urban forestry (Dr.-Ing.)

yazdi@darbots.com
Qiguan

Qiguan Shu

CTO & Co-Founder

Software Development,
Computer Vision and Urban Forestry (Dr.-Ing.)

shu@darbots.com
Felix Zimmermann

Felix Zimmermann

CCO

Landscape gardener,
Landscape architect (MA)

zimmermann@darbots.com

Academic Advisor

Prof. Dr. Ferdinand Ludwig
Green Technologies & Baubotanik

ferdinand.ludwig@tum.de

Support

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