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Greener Lab

An AI-Driven Revolution in Integrated Green Infrastructure Management

Specialization

Tree EMR Platform
AI Tree Diagnosis
Green Infrastructure Management

Keywords

Tree EMR
Tree EHR
AI Diagnosis

Greener Lab develops a Tree EMR-based integrated data platform for data-driven tree and green infrastructure management.
The platform combines SaaS, IoT sensors, AI diagnosis, 3D tree maps, digital twin, and carbon MRV.
It helps cities, farms, and ecological infrastructure operators diagnose, monitor, and manage trees with standardized data.
Greener Lab positions Tree EMR as a new industry category for climate resilience, ecological asset management, and high-value crop protection.

(1) Owned Technology

Tree EMR / EHR data management technology.
AI-based tree diagnosis and decision-support system.
IoT sensor-based tree and environmental monitoring technology.
3D tree map and digital twin-based ecological infrastructure management.
Continuous AI learning loop using field data, user feedback, and standardized records.
Carbon MRV-linked green infrastructure data platform.

(2) Applied Products

Tree EMR
- Digital record system for tree health, diagnosis, treatment, and management history.
Tree AI Dashboard
- AI-powered dashboard for diagnosis, monitoring, reporting, and decision support.
Sentinel Sensor
- IoT sensor for tree and environmental condition monitoring.
3D Tree Map / Digital Twin
- Spatial visualization and management system for urban trees, parks, farms, and forests.
Agro-EMR
- Extension model for high-value crop industries such as coffee, cocoa, wine, olives, fruit trees, and tea.

(1) Problem Definition / Development Background

Climate change is disrupting premium crop industries and urban ecological infrastructure.
Tree and crop management data remains fragmented, insufficient, and non-standardized.
The ecological infrastructure market is large, but Tree EMR adoption is still at an early stage globally.
Cities and high-value crop farms need standardized, data-driven systems to manage climate risk, resilience, and adaptation.

(2) Value Proposition / Solution

Greener Lab provides a unified platform that integrates diagnosis, sensors, reports, and field data.
The platform improves tree management accuracy, operational efficiency, and decision quality.
It enables a replicable rollout model for cities, crops, and forests.
Greener Lab connects two markets through one technology stack: urban/public green infrastructure and global high-value crop industries.

New Category Creation: Positions Tree EMR as a new data infrastructure category for ecological asset management.
Integrated Platform: Combines diagnosis, IoT sensors, reports, AI, 3D maps, and data integration.
AI Learning Loop: The more the platform is used, the smarter it becomes through field data and user feedback.
Global Expansion Model: Validates in Korea, expands overseas, and scales globally through a repeatable structure.
High-Value Crop Expansion: Applies Tree EMR to coffee, cocoa, wine, olives, fruit trees, tea, and other climate-sensitive crops.
Domain Expertise: Team includes global technology, GTM, and tree treatment experts.

Conducted PoCs with tree clinics and local governments.
Entered the domestic market through validation and public procurement revenue.
Designated as an Innovative Procurement Product.
Built domestic partnerships with organizations such as Korea Expressway Corporation, public institutions, and tree-related partners.
Secured global business partner references in Kenya, South Africa, Finland, Malaysia, and other regions.
Initial coffee-belt expansion targets show projected revenue growth from USD 0.4M in 2026 to USD 21M in 2029.

(1) PoC Progress

Entered Kenya through GAO AFRICA, targeting coffee farm applications.
Initial coffee farm expansion plan includes Kenyan coffee farms and Ethiopian coffee farms.
Global market interest has been identified in regions including Kenya, South Africa, Tunisia, Malaysia, Finland, and Japan.

(2) Global Expansion

Greener Lab plans to expand from coffee into high-value crop industries such as olives, avocados, cocoa, wine grapes, fruit trees, and tea.
Target markets include the urban/public green infrastructure market and the high-value crop industry market.
The company aims to become a global Tree EMR-based platform by connecting AI, EMR, IoT, digital twin, and carbon MRV into one scalable technology stack.