Eliminate manual review from roofing inspections

From HVAC units and solar panels to drainage systems and signs of damage, our AI-powered vision scans drone footage and automatically identifies what matters. That means you can deliver detailed, structured reports faster—without your team scrubbing hours of video frame by frame.

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Trusted by industry leaders

Build your own way to discover, quantify, and monitor with precision

Your customers rely on clear, accurate data. Our AI-powered vision engine identifies and tags critical rooftop elements across thousands of drone images—automatically. From system components to signs of wear, you’ll get reliable results every time, ready for integration into your reports.

Three rooftop HVAC units installed on a white flat roof next to green trees.

HVAC Units

Accurate location and type identification of rooftop HVAC systems

Aerial view of house rooftops with multiple solar panels installed.

Solar Panels

Panel count, orientation, and array configuration detection

A skylight window installed on a tan shingled roof with visible greenery below.

Skylights

Shape, size, and placement recognition to support planning and repair

White house with red tiled roof featuring a rooftop vent under clear blue sky.

Roof Vents & Exhausts

Identification of plumbing stacks, turbine vents, and exhaust fans

Aerial view of a rooftop featuring a large white chimney and several smaller vents around it.

Chimneys

Automated tagging of chimney structures, including material type

Aerial view of palm trees and orange and blue rooftops with visible damage marks on the orange roof.

Shingle Damage

Detection of missing or lifted shingles, granule loss, and discoloration

A rooftop with several dark water damage stains and blue highlighted boxes labeled ‘Water Damage.’

Ponding Water

Surface pooling detection for flat roofs after rainfall

Two dormer windows on a brown tiled sloped roof under clear blue sky with a gray downspout attached to a white wall.

Drainage Systems

Gutter and downspout placement and obstruction alerts

Instant results

From drone to data, in minutes

  • Auto-tag footage with no human delay: Automatically identify rooftop features—like HVAC units, skylights, and damage—in drone videos without manual review.
  • Process thousands of frames in real time: Our AI-powered vision system scans drone footage frame-by-frame to detect and tag roofing elements instantly.
  • Deliver client-ready reports faster: Speed up your inspection workflow by converting raw footage into structured, exportable data in minutes.
Screenshot of EyePop.ai labeling interface showing an aerial image of a roof with a tree and a labeled satellite dish on the grass.
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Built to scale

Analyze more without adding staff

  • Handle growing footage volumes effortlessly: Scale your drone-based inspections across large portfolios without adding headcount or review time.
  • Automate repetitive workflows at scale: Eliminate the manual grind of video analysis by automating tagging, classification, and report generation.

Plug & play

Fits seamlessly into your platform

  • API-first for easy implementation: Seamlessly integrate advanced drone footage analysis into your existing roofing software using our robust API.
  • Structured outputs for reporting tools: Export clean, organized data tailored for inspection reports, dashboards, or client-facing documentation.
  • Works with drone footage you already use: No need to change hardware—our computer vision platform supports standard video formats and common drone setups.
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Cut review costs. Increase revenue.

Streamline inspections, reduce costs, and grow—without hiring more staff. Let’s discuss how vision AI can level up your business.