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Break away from tedious workflow with AI

Arraiy, a computer vision technology innovator, has launched a machine learning solution that provides real-time tracking for broadcast, news and sports productions – DeepTrack.

To simplify virtual productions, Arraiy delivers real-time tracking data of live camera signals for broadcast applications: news, sports and television studio productions.

With a vast library of data sets and AI, DeepTrack utilises Arraiy’s proprietary machine learning engine to perform real-time camera and rigid object tracking.

“Machine learning presents remarkable opportunities for content creators. Digital production workflows in particular are bogged down by several painstaking processes that can largely be automated through deep learning and AI,” said Gary Bradski, co-founder & CSO of Arraiy.

“We’re doubling down on developing revolutionary new deep learning technologies that radically impact entertainment – and beyond,” added Ethan Rublee, co-fouder & CTO of Arraiy. “As we are transiting into the commercialisation phase, we’re excited to bring in industry’s veteran Mark Tobin to lead business growth.”

With a proven track record of delivering stellar financial growth and creating innovations, Mark Tobin is joining Arraiy as its CEO.

In March 2018, Arraiy announced a $10 million Series A round of funding led by Lux Capital and Softbank Ventures. The participants of Series A funding includes Dentsu Ventures, Cherry Tree Investments, IDG Capital and CRCM Ventures. Arraiy seeks to innovate traditional production by unlocking the next generation of visual storytelling and seamlessly integrating real and virtual worlds.

If you are attending NAB 2019, be sure to catch the first glimpse of Arraiy’s cutting edge technology as it unveils itself along with Future Group’s Pixotape at booth SU12702 and at the Startup Loft in the North Hall at N2333.

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