Advanced artificial intelligence that predicts windscreen repairability in seconds helping insurers, repair networks and suppliers reduce unnecessary replacements, lower claims costs, and minimise environmental impact. Originally launched in 2018 and trained on millions of real-world damage images, Glasscare AI is deployed across the UK, Europe, North America and Australasia within live insurer and network workflows.
Windscreen damage assessment has historically relied on manual judgement, inconsistent categorisation, and commercial bias toward replacement. The consequences:
How GlassCare AI Actually Works in Practice
A damaged windscreen image is captured via an existing claims or repair workflow.
GlassCare AI analyses the imagery against trained damage models.
A repairability likelihood score is produced.
Glasscare® AI analyses submitted windscreen imagery to determine the likelihood of successful repair.
Each avoided replacement eliminates the cost of unnecessary logistics, the manufacture of a new windscreen, and unnecessary ADAS calibration.
Each avoided replacement eliminates the environmental impact of waste disposal, unnecessary logistics and the manufacture of a new windscreen.
GlassCare AI can operate as a stand-alone validation tool or as part of a broader digital claims ecosystem.
Claims can be auto-routed to the appropriate repair networks.
Validation data supports invoice reconciliation.
Customer updates can be triggered automatically.
Reporting dashboards provide portfolio-level insight.
Glasscare® AI has been adopted and trained in collaboration with leading repair networks and insurers across multiple markets.
The technology has supported validation workflows aligned to the damage criteria of major international operators, contributing to improved repair capture rates and reduced indemnity leakage.
Our partnerships span:
GlassCare AI is built with governance at its core.
With Artificial Intelligence, acting as a responsible business is of vital importance. GlassCare prioritise governance with:
We recognise that AI infrastructure carries environmental cost. Our approach focuses on delivering net environmental benefit through:
As vehicles become increasingly complex and windscreens serve as sensor hubs for Advanced Driver Assistance Systems (ADAS), accurate repair validation has never been so important.
Glasscare® AI ensures the correct repair path is chosen from the outset.
Our vision is simple:
Every piece of windscreen damage assessed fairly.
Every viable repair captured.
Every decision backed by evidence, not estimation.
GlassCare’s AI has been supporting customers since 2018, and has been trusted by industry leaders all the while.
Autoglass partnered with Service Certainty imageproof on an app where customers could shoot a picture of damaged glass and have AI determine repair or replacement.
Autoglass uses artificial intelligence to assist in windscreen repair
New AI app can determine windscreen repair or replacement choices
Get in touch to learn how GlassCare AI can integrate with your existing workflows and deliver measurable results.
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