Our patented neural networks are specifically designed to identify damage in real-world photographs with a variety of angles, lighting, and other factors.
Understanding of Real World Complexities
Our proprietary neural networks are made especially to recognize damage in real-world photos taken from different perspectives, in different lighting conditions, and with other variables.
Data Library
Our neural networks were trained using over 7 million damaged physical asset pictures and videos. Because of this, we don't need or keep customer photos for production or training.
Video based inspections
In contrast to other systems that function just with photographs, ours operates with both images and videos of cars. Videos significantly increase accuracy when compared to our rivals
Privacy
We mask all personal information before processing images or videos, and do not any personal data.
Face
License Plate
ID, VIN, etc.
Metadata, eg. GPS Cordinates, Owner
Resilent Infrastructure
Our infrastructure runs on data centers provided by Azure and AWS. We host our solution in the same data center as the client's country