RealNetworks Appoints Jay Burrell as Chief Revenue Officer for Computer Vision
“We are thrilled to have Jay join us to help take our SAFR business to the next level,” said Rob Glaser, Founder and CEO of RealNetworks. “Jay brings deep experience from his work at well-respected and high-growth businesses. Further, he embodies the drive, focus and diligence required to make SAFR a market leading business that scales rapidly.”
“The facial recognition market is growing at an exponential rate, with a variety of uses cases for businesses and individuals alike,” said Burrell. “SAFR has already shown real market leadership with its performance and accuracy, but this is just the beginning. I have been following RealNetworks for some time, and the opportunity to be part of the recreation of an industry icon is exactly what a technology executive dreams of. I look forward to working with the incredibly innovative SAFR team to build on our momentum and grow into new markets and regions.”
Prior to joining RealNetworks, Burrell served as the senior vice president and general manager of digital technology at
SAFR is an AI-powered facial recognition solution, optimized for live video and architected to economically scale with high performance and rapid processing to detect and match millions of faces in real time. SAFR’s 99.86% accuracy rate is balanced by industry-leading performance that delivers results 3-5 times as fast as competing facial recognition algorithms. In
Building on a legacy of digital media expertise and innovation, RealNetworks has created a new generation of products that employ best-in-class artificial intelligence and machine learning to enhance and secure our daily lives. SAFR (www.safr.com) is the world’s premier facial recognition platform for live video. Leading in real world performance and accuracy as evidenced in testing by NIST, SAFR enables new applications for security, convenience, and analytics. Kontxt (www.kontxt.com) is the foremost platform for categorizing A2P messages to help mobile carriers build customer loyalty and drive new revenue through text message classification and antispam. For information about our other products visit www.realnetworks.com.
Results shown from NIST do not constitute an endorsement of any particular system, product, service, or company by NIST. https://www.nist.gov/programs-projects/face-recognition-vendor-test-frvt-ongoing.
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Source: RealNetworks, Inc.