XL8, a leading deep-tech startup specializing in AI-powered machine translation technology, is proud to announce that it has been recognized in two categories at the 2023 DEG EnTech Awards: Technology Innovation and Emerging Technology categories.
XL8’s core service, MediaCAT, won in the Emerging Technology category. This DEG Award recognizes companies that have developed new technologies that can positively impact the future of digital entertainment distribution. MediaCAT, a cloud-based platform built around XL8’s proprietary AI Machine Translation engines, streamlines the media localization process through a suite of innovative localization tools. MediaCAT impressed the judges because it levels the playing field for monetizing just about every type of content around the globe, even content that was previously considered too costly to localize. MediaCAT supports over 45 tier 1 languages, and its homegrown MT engines have been trained with pure, golden source data, resulting in colloquial translations according to how people actually speak, and not a simple word for word translation.
The second award XL8 received was the Technology Innovation Award, which recognizes an individual or team that has identified a problem or road-block in the localization landscape, and developed a specific technology to tackle it. The DEG community recognized and honored the efforts of the XL8 engineering team for their work in creating specific solutions using proprietary AI to overcome antiquated Post-Editing methods.
Led by XL8’s CTO, Jay Park, the XL8 engineering team researches and develops solutions for the whole of the localization industry. However, it’s XL8’s customers that help guide us to build better products, including MediaCAT, as well as EventCAT, XL8’s real-time translation solution.
“In a rapidly changing global media landscape, this award proves that even though XL8 is a start-up, its breakthrough technologies help to solve the obstacles faced by our customers, and we are very proud of the many technological breakthroughs we have achieved in a short amount of time,” Jay commented.