An Innovative and Revolutionary SME Machine-Learning AI-Powered Digital Stage, Predicted to Save 60+ Hours Per Role Cast

Flaircube Ltd (Flairbox)，由Robert Eades， Elliot Janks和Peter Hickling组成的核心团队，正在为表演艺术专业人士提供革命性的机会，使他们能够远程联系和合作。Flairbox的平台将视频共享与机器学习相结合，允许演员轻松上传视频，选角导演可以有效地进行分类，每个角色可以节省60个小时。该解决方案将帮助该行业在COVID-19关闭后恢复和重组，并将引领公平的铸造实践。第3和第6个月，仍在研发阶段，同时为尽可能多的演员提供数字舞台，目标是到第6个月达到5000个。让这些演员有机会回归他们的职业，有地方表演，并因他们的工作而被发现。到12月12日，Flairbox将利用收集到的数据为他们第一次迭代的机器学习人工智能排名系统提供动力，该系统将打破多达7500名演员的进入门槛，并为选角导演节省多达60个小时的时间。到18个月，Flairbox将拥有一个商业上可行的、由机器学习人工智能驱动的排名系统，每个英国选角导演和演员都可以使用，已有12000名演员使用该平台表演和找工作。这项技术将为每次选角节省60多个小时，相当于每个角色为制片人节省2400多英镑（每小时40英镑的选角导演时间），同时消除演员之间目前基于教育、经验、地点和社会经济背景的歧视。

Flaircube Ltd (Flairbox), with a core team of Robert Eades, Elliot Janks and Peter Hickling, is revolutionising opportunities for performing arts professionals to connect and work together remotely. Flairbox's platform combines video sharing with machine learning to allow actors to easily upload videos that casting directors can efficiently sort, saving 60 hours per role cast. This solution will help the industry recover and retool following COVID-19 closures and will lead the way for equitable casting practices.Months 3 & 6, still in R & D whilst providing a digital stage to as many actors as possible, with a target of 5,000 by month 6\. Giving those actors a chance to return to their profession with somewhere to perform and be discovered for their work.By month 12, Flairbox will be utilising collected data in order to power their first iteration of a machine learning AI ranking system that breaks down barriers to entry for up to 7,500 actors and saves up to 60 hours per casting for casting directors.By month 18, Flairbox will have a commercially viable, machine learning AI powered ranking system available to every UK casting director and actor, with 12000 actors already using the platform to perform and find work. This technology will save more than 60 hours per casting, equating to more than £2,400 saved for producers for every role (£40/hr of casting director's time), whilst simultaneously removing current discrimination between actors based on: education, experience, location and socioeconomic background.