Roof Inspection AI
Find missing shingles, hail and wind damage, and worn surfaces from drone and aerial imagery, and map each roof's type, material, and damaged area without sending anyone up a ladder.

Roof Inspection AI for the Toughest Residential, Commercial, Insurance, and Solar Roof Surveys
Deploy Anywhere, Run Everywhere
Run roof inspection on drone, aerial, satellite, and phone photos, on the edge, in the cloud, in your VPC, or via API.
One Platform, Full Adoption
Tools every roofing and property team can adopt, from roofing contractors and insurance adjusters to property inspectors and solar designers, no separate ML team required.
Secure, Compliant, and Audit-Ready
Data stays safe with SOC 2 Type II compliance, encrypted data, HIPAA compliance, and an uptime SLA, with an annotated image behind every damage finding and report.
- Missing & Damaged Shingles
- Hail & Wind Damage Marks
- Roof Type & Material Classification
- Roof Facet & Surface Segmentation
- Ponding, Debris & Vegetation
- Damaged Area Measurement
Talk to a Vision AI engineer who's shipped in roofing and property inspection.
Bring us your toughest roof inspection problem and we'll map a working solution.
Ask us about:
- Solution architecture that fits your imagery sources, damage categories, and claims or quoting workflow
- A live demo on your own drone, aerial, or field roof photos
- Deployment options: cloud, batch, edge, on-prem, or VPC
- ROI modeling against inspection hours, ladder time, claim cycle time, and re-inspections
Over 80,000 organizations build with Roboflow.
- Rivian
- Pella
- Chobani
- USG Corporation
- BNSF Railway
- American Woodmark
Vision AI is transforming businesses
Customers across the board are solving complex challenges and driving meaningful impact.
- Automotive customer
$10 million
Saved by automatically detecting defects on the production line
- Logistics & freight company
90%
Less time spent manually tracking shipping inventory
- Building materials supplier
60%
Lower customer return rate with improved product quality