FLYREEL
AI-powered self-service property inspection platform for insurance underwriting and claims.
Overview
Flyreel is an AI-powered property inspection platform that enables self-service interior and exterior property surveys via smartphone, improving and automating insurance underwriting and claims processes. Founded in Denver, Colorado in 2013, Flyreel was acquired by LexisNexis Risk Solutions in May 2022 and now operates as part of the LexisNexis Risk Solutions insurance portfolio under the RELX corporate umbrella.
The platform uses computer vision and machine learning to analyze smartphone-captured images and video of property interiors and exteriors, automatically identifying and flagging over 200 property risk characteristics. The system guides policyholders and claims adjusters through guided mobile surveys, reducing inspection cycle times, improving loss ratios, and enhancing the user experience.
Flyreel has expanded its offerings from personal lines underwriting inspection to commercial property inspection (2024) and claims-side consumer-driven inspections (2025), demonstrating continued active product development within the LexisNexis Risk Solutions portfolio.
Products & Services
Flyreel (Personal Lines)
AI-enabled self-service property inspection solution that guides policyholders through smartphone-based property surveys for personal lines underwriting.
Key Features
- Interior, exterior, and aerial property detection via native mobile app (iOS/Android)
- AI-assisted risk attribute identification for 200+ property risk characteristics
- Geotag verification ensuring photos are taken at the correct property location
- Customizable inspection templates configured for specific carrier underwriting requirements
- High completion rates (75%+ with best practices) and 3x faster than alternative methods
- No file uploads required -- native app ensures photo authenticity
Target Users: Personal lines carriers, MGAs
Flyreel for Commercial
Expanded commercial property inspection offering launched January 2024, enabling commercial property insurers to reduce inspection costs and improve risk selection.
Key Features
- Commercial property risk assessment at new business and renewal stages
- AI-driven analysis of commercial property risk attributes
- Reduces inspection costs while improving underwriting profitability
- Mobile-based guided surveys for commercial properties
Target Users: Commercial property insurers, MGAs, program carriers
Flyreel for Claims
Consumer-driven claims inspection tool launched February 2025, enabling homeowners to initiate property claims inspection processes via mobile device.
Key Features
- 360-degree virtual inspections at First Notice of Loss (FNOL)
- 3D model creation for comprehensive property documentation
- Accelerated claim processing and improved accuracy
- Addresses industry challenges including workforce shortages and rising loss costs
Target Users: Home insurance carriers, claims departments
At a Glance
- Founded
- 2013
- Headquarters
- Denver, Colorado, USA
- Employees
- 11-50
- Funding
- Acquired
Category & Focus
- Category
- Underwriting & Risk
- Subcategories
- Property Inspection Technology AI/Computer Vision Risk Assessment
- Insurance Verticals
- P&C Personal P&C Commercial
- Target Customers
- Carriers, MGAs/MGUs
Customers
- Rockford Mutual Insurance (featured case study -- 48-hour implementation with critical risk detection improvements for exterior slip-and-fall hazards)
Links
Similar Companies
-
FutureProof TechnologiesAI-powered climate risk analytics for smarter insurance underwriting -
DATACREST, INC.AI-powered insurance submission automation built by insurance professionals for insurance professionals -
COGNISUREAI-powered submission intake and underwriting automation for commercial P&C insurance -
BBETTERVIEWAI-powered property intelligence platform for P&C insurance underwriting, renewals, and claims -- now part of Nearmap
-
CHRP TECHNOLOGIESBuild a better homeowner. -
QuanataPowering the future of context-based insurance through AI-driven risk prediction and mitigation.
Last updated: 2026-04-10