Transform manual damage assessment and estimation with AI-driven automation
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.
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.
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.
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.
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.
Talk to a Unstructured Data Processing expert and see how you can get started
Talk to a Unstructured Data Processing expert and see how you can get started
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