Artificial Intelligence (AI) is the face of future generations. It has considerably optimized the processes by eliminating human efforts. It is, therefore, the reason that foresighted investors are encouraging start-ups intended to integrate AI.
The use of AI in robotics has gone to the next level as AI researchers are focusing on bias avoidance techniques in robots using machine learning. However, the prime objective of entrepreneurs and starters is to optimize industrialization.
Flexciton is the start-up based in London that is aimed at helping factories to optimize their production line. Interestingly, the start-up has attracted augmented attention from investors raising £2.5 million in a round successfully.
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The founders of this start-up are going to participate in “Join Capital and company builder Entrepreneur First.” The start-up has already pitched at EF’s 6th London demo day in the year 2016.
Flexciton has designed artificial intelligence-driven software to optimize the manufacturers’ methods to plan and schedule multiple-phased production lines. It provides a helping hand to the manufacturers to deal with complex mathematical calculation required to perform multiple production tasks and activities. The idea is based on the so-called concept of “Industry 4.0” trends.
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Jamie Potter, the co-founder, explains the primary objective of this system is to run every factory across the globe for augmented production. The plan of this startup directs everything in the factories to deliver the best when it comes to production.
Generally, plans are created manually by human beings. It is traditional and slow as compared to modern computing. Therefore, artificial intelligence can be used to figure out millions of ways and options for a single job. After research, the most optimal ways can be selected to accomplish the task in minimum time and effort.
Interestingly, the team of Flexciton is comprised of eminent experts of industrial optimization and Artificial Intelligence. They have researched and published more than one-forty academic studies to back their idea of the optimized production line.
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