Automate Vehicle Damage Detection with AI

Quickly automate unstructured data processing

Transform manual damage assessment and estimation with AI-driven automation

Speed up claim assessment and processing while reducing fraud

Assessing car damage takes time. In-person inspections are slow and costly, and so is expert manual analysis of remote images from car claims—and often estimated costs provided to the insurer and customer are simply not accurate enough. 

AI-driven automated vehicle damage detection offers a new standard of accuracy and speed, at a lower cost, with built-in fraud detection, helping to accelerate claim settlements and increase customer satisfaction.

Put vehicle damage detection on autopilot

Streamline and expedite vehicle damage assessment and estimation

Insurance scams cause $29 billion of damage to auto insurers annually, with car accident damage fraud accounting for more than $3 billion alone.

AI offers an immediate solution to streamline vehicle damage inspection, assessment, cost estimation—and fraud detection. AI can also learn from actual cost data over time to make more accurate predictions.

Automate damage detection and estimation with Super.Image. Super.Image is an AI-driven automation solution for detecting damage from vehicle images to reduce processing time, cost, and errors.


The value of AI for vehicle damage detection and estimation

Reduce costs
Eliminate the need for onsite visits with remote, self-service assessments
Improve accuracy
Continuously train AI using actual costs to improve accuracy
Improve Customer Satisfaction
Reduce churn by providing a faster, hassle-free experience

AI for vehicle damage assessment, as easy as 1, 2, 3.

Here's how Super.AI streamlines vehicle damage assessment in three simple steps
Collect

Upload pictures of the damage. Don't worry about having perfect pictures. Super.AI can accommodate odd angles, subpar lighting, and other variables that may impact image quality.

Extract

Super.AI's Unstructured Data Processing Platform processes unstructured image data. Super.Image uses a combination of AI, software, and humans to highlight damaged areas of the vehicle.

Act

Super.AI provides annotated images or converts the damage information into text to power claims processing automation, cutting down processing time and costs for insurers and their customers.