Designed and developed in house, Quantarium’s TerraLook™ leverages our proprietary AI technology to deploy a sophisticated industry-leading, multi-branch and neural network approach to provide customers with a high-fidelity capability for both image classification and property valuations with precision.

Our trained models are able to recognize physical damage in walls, ceilings, floors, siding, roofs, and foundation, driveway cracks, exterior deck damage, stairs damage, etc. Going even further, they can even classify the type of damage—material or immaterial—based on its extent and prevalence within the analyzed property.

TerraLook™ can identify features such as countertop, fridge, range, light and floor types, window, door types and counts, roof and siding material, garage type and size, the presence of pools, sport courts, solar panels, and adverse external factors, including power lines or high-traffic streets.

TerraLook™ provides access to a number of image processing techniques including noise reduction, sharpening, cropping, exposure, minimum resolution and color definition correction, as well as detection of duplicates and of occluded buildings.

TerraLook™ assists in safeguarding your non-public and personally identifiable information by detecting and removing image content such as car license plates, house numbers, recognizable faces, and religious artifacts.

Incorporated within QVM, Quantarium’s AI valuation model, the TerraLook™ technology is trained on millions of real estate images to detect and classify objects both inside and outside the property.