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Trained AI model for aerial image segmentation for a property maintenance company

Serving ~$1M in revenue in property maintenance through image segmentation

Image Segmentation and Analysis
ML Training

SiteRecon

The GIS platform for property maintenance.

🔒 Confidential client

LOCATION

United States

size

Startup

INDUSTRY

PropTech

DEPARTMENT

Product Development

The Challenge

SiteRecon needed to generate accurate takeoffs autonomously.

The Solution

A machine learning model was built with U-Net image segmentation to automatically segment turf / parking lots / sidewalks and other outdoor maintenance features from a property.

Impact

  • Model in production serves ~500 orders/day.
  • Serving ~$1M in revenue.

Serving ~$1M in revenue in property maintenance through image segmentation

Trained AI model for aerial image segmentation for a property maintenance company

SiteRecon needed to generate accurate takeoffs autonomously;

a machine learning model was built to automatically segment turf / parking lots / sidewalks and other outdoor maintenance features from a property.

IMPACT

Model in production serves ~500 orders/day

Serving ~$1M in revenue

ai solution

Image segmentation with U-Net

client

SiteRecon

The GIS platform for property maintenance.

in collaboration with hive

Felvin AI Solutions

One of the first teams to launch an AI no-code tool builder.

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