See visible roof issuesfrom files you already have.

Manual walk-overs are slow, uneven and hard to defend when the claim or customer waits on a report. INSUS applies computer vision to drone, satellite or site photos you already keep so the first finding list is consistent, and the inspector still decides what is repaired, watched or claimed.

  • 01

    Works from imagery you already keep.

  • 02

    Visible defects typed and severity-scored.

  • 03

    Draft report for inspector review.

The problem

Manual roof inspections are slowand hard to keep consistent.

Sending someone onto the roof for a visual check takes time and carries real safety risk. Damage is often missed or written up differently from one visit to the next. Claims and customers need clear evidence, yet the report can still wait days after the photos are already on file.

Building and materials site where roof condition still has to be judged from the ground or the roof
01
02
03
  • 01Missing shingles often missed from the ground
  • 02Cracks and flashing documented differently each time
  • 03Photos on file; the report still waits

The shift

From another climb firstto a scored first pass on the files.

The inspector stays responsible for the repair, watch and claim decisions. What changes is whether existing imagery is scored into a consistent draft before the next climb.

Today

The ladder picks the moment

  • An inspector on the roof, with the time and risk that goes with it.
  • Findings written differently from visit to visit.
  • The report and claim wait even when photos already exist.

With INSUS

The roof is scored from the files

  • Computer vision on drone, satellite or photo files you already have.
  • Type, severity and a draft report the inspector reviews.
  • A consistent first assessment for the claim file, not a second climb for that first look.

How it works

From existing imageryto a reviewable draft report.

Delivered as a tailored computer vision workflow for defect detection, with AI Doc Generator supporting draft report assembly. Day one is advisory. INSUS does not fly the roof or replace professional judgement.

  1. Connect

    Bring in imagery you already keep

    Ingest drone footage, satellite stills or site photos from your current stores. If a usable file set is missing, discovery says so rather than assuming a new flight.

  2. Understand

    Find visible defects in those files

    Computer vision flags visible conditions such as missing shingles, cracks and punctures that a ground look or uneven write-up often misses.

  3. Predict

    Score type and severity

    Each finding is typed and severity-rated from what is visible. Image quality, roof type and weather limit what can be claimed from a photo alone.

  4. Advise

    Assemble a draft inspection report

    Findings are written into a draft report for customer or claim review. The inspector decides what is repaired, watched or submitted.

  5. Verify

    Check against a recent walk-over

    Pilot findings are compared with a recent manual inspection on the same roof type before anyone trusts the draft for live customers or insurers.

Inspection team reviewing roof condition findings

Getting started

Start with one roof typeand imagery you already have.

For roofing teams that already hold drone, satellite or site photos. Delivered as a tailored computer vision workflow, with AI Doc Generator for draft report assembly. Expert Services can help scope discovery and validation against a recent walk-over. No new capture hardware is assumed where usable files already exist.

  • What we need. Sample imagery on a named roof type you inspect most, plus an inspection lead who knows how reports are written today.
  • What you see first. Detected defects, severity scores and a draft report set next to your last walk-over, so you can judge the calls before a live customer or claim depends on them.
  • How it grows. Extend to more sites and roof types only after this first scope has earned trust.
Explore AI Doc Generator

Questions roofing crews ask us

Manual inspections are slow, uneven and hard to defend when photos already exist. This use case scores visible defects from those files into a draft report the inspector reviews.

Usually not. If you already fly roofs or keep satellite or site photos, the pilot works from that imagery. If usable files are missing, discovery says so rather than assuming new capture.

No. It puts a consistent finding list in front of the inspector. People still decide what is repaired, watched and submitted for a claim.

The draft includes findings, severity and source imagery for review. Whether a given insurer accepts it as evidence is their process. We scope the output against the claim files you already submit.

The first pilot is scoped to the type you inspect most, typically asphalt shingle or low-slope membrane. Mixed sites come after validation.

We start with visible imagery you already have. Missing shingles and surface cracks can run on those files. We will not invent a leak call from a colour photo alone.

As a tailored computer vision workflow for defect detection, with AI Doc Generator for draft report assembly. Expert Services can support discovery and validation against a recent walk-over.

Roofing · Inspection

Score the files you already have before the next climb.

See whether computer vision on your existing imagery can give inspectors a consistent first finding list and a draft report they still control.