Laird's Image App enables automated vehicle damage capture and integrates with supply chain automation for efficient claims processing.
Laird's Image App enables automated vehicle damage capture and integrates seamlessly with supply chain automation for efficient claims processing.
The white-labelled application guides drivers through capturing the required images of their damaged vehicle, eliminating the need for app downloads and ensuring consistent image quality.
Once images are captured, the supply chain automation kicks in, routing vehicles to appropriate repair facilities or salvage agents based on the assessment outcome.
Supplementary parts stop repairs, delay orders, extend hire and increase claim costs. Project X-Ray uses millions of lines of accident report data to predict hidden damage, supplementary costs and likely missing parts before the vehicle reaches the bodyshop.
Are some of the concerns around automotive AI already out of date? We challenge the arguments around model drift, ageing data and continuous human intervention, and look at how modern AI architecture is already addressing them.
Project X-Ray has now analysed 250,000 accident damage reports. The latest upgrade strengthens its ability to predict latent damage risk, likely supplementary costs and estimate anomalies, while making it easier to connect with visual intelligence and estimating platforms.
Our team of qualified engineers and assessors is ready to help with your automotive claims and vehicle inspection needs.