GeoAI for Trees

Trees cause $100B+ in infrastructure damage each year.

‍TreeINT DETECT | DECIDE—individual trees, predict risk, and automate decisions via APIs and ArcGIS integrations.

_{Trusted by platforms, government, and infrastructure operators}

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Hazard Tree Detection

Auto Budget & Planning

50-75%

saved on opex

10-90x

return on investment

$1.6B+

Assets protected

Partners

Data

Intelligence

Operations

Detect Trees

Computer vision models map individual trees across entire infrastructure portfolios.

Predict Risk

Automatically identify hazardous and stressed trees before failure occurs.

Generate Outcomes

Automatically convert analysis into maintenance plans, budgets, and operational priorities.

Detect Trees

Computer vision models map individual trees across entire infrastructure portfolios.

Predict Risk

Automatically identify hazardous and stressed trees before failure occurs.

Generate Outcomes

Automatically convert analysis into maintenance plans, budgets, and operational priorities.

Multi-modal tree intelligence

Treeable fuses aerial, satellite, and field data, agnostic to the sensor type, to detect canopy stress, identify hazardous trees, and continuously monitor risk across infrastructure portfolios.

Hazardous Tree Detection → Geo-located Risk

Treeable identifies risk using computer vision and change-detection models—delivering geospatial locations and proximity to surrounding infrastructure.

Satellite and aerial data feed our models with continuous canopy and condition updates—keeping inventories current between field inspections.

Remote Sensing → Continuous Monitoring

Satellite and aerial imagery provide continuous canopy monitoring—detecting change and keeping tree inventories current between field inspections.

Multi-Spectral → Risk Analysis

Backed by scientific model accuracy—Treeable's geospatial intellegence models detect canopy stress, disease, and structural decline before visible failure occurs.

TreeINT | DETECT

Infrastructure Risk Intelligence

TreeINT | DETECT decisions before storms, failures, and costly outages using Treeable’s tree intelligence platform.

Portfolio-level vegetation risk

Identify hazardous trees and vegetation exposure across infrastructure portfolios before storms occur.

Decision-ready insights

Support underwriting, mitigation planning, and post-event assessment.

TreeINT | DECIDE

Predictable Infrastructure Outcomes

Prevent tree-related damage through continuous monitoring, risk scoring, and automated maintenance planning.

TreeINT | DECIDE budget and plan for high-risk trees early—enabling infrastructure owners to reduce storm damage, service interruptions, and emergency maintenance costs.

Real testimonials from our customers

Drew Charter School

They were able to survey our whole property, catalog all the trees as well as their level of health in order to inform our decisions. This helps us plan and allocate our operating funds efficiently. Treeable's philosophy is also aligned with our environmental focuses as a LEED certified school. We consider them a partner.

Julie koriakin

COO - Drew Charter School

Arxada Chemical Plant

Treeable has educated my coworkers and I on the importance of proper tree maintenance and care. We have identified various trees which needed attention that could've caused downtime if not for Treeable. We also were able to make improvements in areas around the site based on state and county laws.

Roger LITTLES

FACILITES MANAGER - Arxada

SoHome Management

One of the unique aspects of Treeable is that they function as a technology platform rather than a tree service provider. This distinction has been crucial for us as it allows them to handle larger and more complex projects with ease. We also deeply appreciate Treeable's focus on climate and sustainability.

SARAH HOWALD

CEO at SoHome Management

How TREEABLE works

Deploy Treeable in three steps

From data ingestion to infrastructure decisions — fast.

Integrate Data Sources

Connect Treeable to your infrastructure data, geospatial systems, or Esri/ArcGIS platform.

Detect Risk with GeoAI

Treeable’s machine learning models analyze imagery, canopy conditions, and inventory updates to identify hazardous trees and vegetation exposure.

Prioritize and Act

Treeable converts detections into operational decisions into your platform or ours.

Get Treeable

Treeable delivers GeoAI-powered tree intelligence for infrastructure—deployable through Esri, OEM partners, or direct integrations with your geospatial stack.

Book a Demo