Our proprietary neural networks (patent pending) are designed for advanced damage detection in real-world images, handling diverse angles, lighting conditions, and more.
We possess a thorough grasp of the challenges involved in detecting damage on physical assets, such as distinguishing between dents and reflections or dirt and scratches.
We have trained our neural networks using over 7 million images and videos of damaged physical assets. Consequently, we do not need or retain client images for training or production purposes.
Unlike platforms that rely solely on photos, our system supports both photos and videos of vehicles, enhancing accuracy significantly compared to competitors.
We anonymize all personal information before handling images or videos and ensure that no personal data is retained.
Our infrastructure is supported by data centers from Azure and AWS. We deploy our solution in data centers located within the client’s country for optimal performance.
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Our products use photos and videos to detect damage on items, removing the requirement for physical inspections.
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