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Bdeo automates 70% of motor and property insurance claims with video intelligence and AI

A documented Claims Processing in Auto Insurance deployment at Bdeo, with source-attributed results and missing evidence labelled explicitly.

Maintained by Peter Korpak, Founder & Chief AnalystHow evidence is checked

Evidence at a glance

Evidence status:
Source-extracted record
Deployment timeframe:
Not reported by source
Reported outcome metrics:
3 cited below
Directory entry published:

The source-link check confirms reachability, not independent re-verification of every claim.

70%Claims Processed Without Human Staff
Up to 80% fasterClaims Processing Speed Improvement
5x month-on-month since early 2019Monthly Recurring Revenue Growth

Source-reported figures — cited source: www.compasslist.com

The Challenge

Insurance companies were struggling to manage claims workload efficiently, with up to 80% of premiums going toward claims handling and indemnity costs. Traditional claims processes required physical presence of insurance adjusters, causing long wait times — particularly in markets like Mexico where vehicles couldn't move until adjusters arrived. Fraudulent claims from vehicle workshops were also rampant, especially across Spain and Latin America.

The Solution

Bdeo built a SaaS platform combining live video streaming and AI to automate remote motor and property insurance claims assessment. When a claim is received, the platform automatically sends an SMS with a hyperlink to the claimant's mobile. A geolocalized live video call collects damage evidence, which is then verified and validated using AI and blockchain technology, generating a detailed report for the insurer to process immediately — no app download required.

Results

The platform enables insurers to process 70% of motor and property claims without human staff involvement. The claims process is sped up by up to 80%. The solution also reduces fraudulent claims by requiring live video — uploaded photos are not accepted — and verifying all images come from the same vehicle. By 2019 the startup had 16 clients including Zurich Insurance, Mutua Madrileña, Chubb, and BBVA, with MRR growing fivefold month-on-month since early 2019.

Key Takeaways

  • Live video verification with geolocation and AI validation is highly effective at reducing fraud compared to static photo uploads.
  • Roughly 70% of insurance claims are minor enough to be handled entirely by technology without a human adjuster present, representing a large automation opportunity.
  • Enterprise sales cycles at large insurers can exceed a year, creating a significant pace mismatch for fast-moving insurtech startups that must plan accordingly.

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Details

AI Technology
Computer Vision
Company Size
Startup
Company
Bdeo
Evidence status
Source-extracted record
Deployment timeframe
Not reported by source
Directory entry published

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