Build custom Deep Learning models to treat images with text in characters or manuscripts, images with objects, people, animals or landscapes, being able to classify, count and identify similarities.
Our OCR models are able to extract text from images and documents and categorize them and can define their own fields for extraction.
Our image classification models indicate which category an image belongs to. You can define your own categories and the model will group a given image into one of those categories.
Our object detection models can locate an object of interest in an image. You can define your own object of interest and, given a new image, we will find the object.
Our similarity models can find similar images from a given set of registered images. When you provide a new image, it will return the closest match.
Reduce visual inspection time to seconds by streamlining measures that help increase your efficiency.
State-of-the-art technology that fits your data, ensuring accuracy compared to public models.
Get rid of the subjectivity of human judgment when inspecting objects for defects. Have reports consistent with inspection data.
Scale robustly, analyze up to millions of images per month, scaling your resources to meet your desired demand.
Models trained “on premisse” so that your data does not leave your network or deploy cloud models, always with efficiency and performance.