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At Deeplify, their mission is to integrate computer vision and AI into the field of Non-Destructive Testing (NDT), making these advanced technologies more accessible. They recognize that the immense potential of computer vision and AI is often constrained by the complexity of developing and applying advanced algorithms, which can be a barrier for many organizations.
They founded Deeplify to democratize the use of computer vision and AI in NDT, ensuring businesses of all sizes and industries can leverage these technologies. This platform is specifically designed to simplify the analysis of NDT, enabling companies to automate data evaluation. This leads to enhanced defect detection, improved safety, and increased operational efficiency. It allows for the extraction of critical insights, facilitating data-driven decisions that further enhance efficiency and optimize resource allocation.

Complete solution for automated inspection systems.
Includes customizable inspection devices with real-time AI recognition.
Cloud-based management platform for easy data and device management.
Automatic or expert-created AI algorithms for customized solutions.
Control and update devices at multiple global locations independently.
1. Upload data
This step involves collecting and uploading sample images that serve as input for the initial AI model training.
The quality of data you feed the AI models is crucial. Our labelling tool will help you to label data to attain maximum accuracy.
We provide a customized AI model for your use case. You decide to either use automated training or seek expert assistance for further customization.
You can evaluate the accuracy of the model. Moreover, you can update and refine the initial AI model through the platform.
The model can be deployed on either cloud or edge devices with one click to facilitate smooth communication with industrial devices and programmable logic controllers (PLC).