Built on over 30 years of real-world repair expertise and trained on millions of proprietary data points, Fixzy.ai delivers instant, accurate, and auditable repair estimates, straight from your mobile device.
Whether you’re an insurer, loss adjuster, or repair contractor, Fixzy.ai helps you work faster and deliver a consistent, digital-first claims experience.
Key Features
AI Damage Detection
Automatically identify and classify defects including mould, water stains, plaster cracks, and flexi hoses from photos.
Image2Scope® Technology
Generate repair scopes instantly using photos captured from on-site or remote inspections.
LiDAR Room Scanning
Capture precise room measurements using built-in LiDAR or manual inputs, creating accurate floor plans in seconds.
Virtual Assessment
Host collaborative sessions with real-time data capture, no site visit required.
Offline Mode
Continue working even in low-signal areas - your data syncs automatically when you’re back online.
Ratings & Reviews
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LiDAR Improvements:
- Improved room scanning for smoother and greater accuracy.
- Enhanced room scan layout detection.
Enhanced Zoom‑Out Capability:
- Introduced pinch‑to‑zoom support with the ability to zoom out to 0.5x within the mobile app.
- Provides better viewing of detailed layouts and smoother navigation across complex or large screens
Version 1.18.0
The developer, Fixzy Limited, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .
Data Linked to You
The following data may be collected and linked to your identity:
Contact Info
Privacy practices may vary, for example, based on the features you use or your age. Learn More
Accessibility
The developer has not yet indicated which accessibility features this app supports. Learn More
Information
Seller
Fixzy Limited
Size
254.3 MB
Category
Business
Compatibility
Requires iOS 18.0 or later.
iPhone Requires iOS 18.0 or later.
iPad Requires iPadOS 18.0 or later.
Mac Requires macOS 12.0 or later and a Mac with Apple M1 chip or later.
