Advanced, Deep Searches through Terabytes of Data in Multiple Locations at Breakneck Speeds
By combining advanced algorithms coupled with machine learning, QuikFynd delivers a powerful tool for organizing, searching and sharing data. “Using the Intel® Distribution of OpenVINO™ toolkit gave us radically improved neural network performance on a variety of Intel® processors,” said QuikFynd CEO Vikas Aditya. “It really helped us uncover a cost-effective solution and almost real-time performance of our application.”
QuikFynd drastically improves data organization and searchability by making full use of multiple cores on 10th generation Intel® Core™ i5 processors and taking advantage of the Intel Distribution of OpenVINO toolkit to accelerate inference performance with Intel® Deep Learning Boost. Deployed as an application on a Windows Desktop, as a virtual machine or in the cloud, QuikFynd can simultaneously search multiple storage devices connected to server as well as all associated cloud drives.
Walk Through Walls while Maintaining Privacy and Security
After an initial index of all files, the application quickly extracts text and tags so files can be searched by keywords – eliminating the need to remember exact filenames or to open and close multiple files to find the right one. Intelligent, AI-based algorithms mean that images can be searched just as easily. QuikFynd can recognize objects and faces from images. QuikFynd searches local storage and cloud drives and compiles potential matches onto a results screen with their respective locations displayed, maintaining information privacy and security.
Learn how to tame your fragmented data with QuikFynd advanced data search: visit www.quikfynd.com.