Sensoria Receives “Best Start Up Company” Honor by Future Textile Awards

Sensoria honored in Germany for innovative technology, products, and partnerships


REDMOND, Wash., June 05, 2017 (GLOBE NEWSWIRE) -- Sensoria Fitness, a world leader in artificial intelligence and smart garment technology, announces today, after being selected as a winner for the Editor’s Pick Awards by Runner’s World at the Consumer Electronics Show 2017 in Las Vegas, it has now been named “Best Start-Up Company” by Future Textile Awards. This award program, created by the World Textile Information Network (WTiN), recognizes success in material innovation. The program also recognized Sensoria as a finalist in the “Best Product: Sports Textiles” and “Ground Breaking Partnership” categories at its award ceremony on May 10, 2017 in Frankfurt, Germany.

“We are honored to receive such a prestigious award. This recognition speaks directly to our expertise in smart garments, wearable design and material developments,” said Davide Vigano, CEO and co-founder of Sensoria. “Our company is proud to create an award-winning product line of health and fitness technology that seamlessly infuses into the fabrics that people are already wearing, such as t-shirts, sports bras and footwear. This innovation allows users to comfortably and accurately measure important fitness metrics in a more familiar way.”

The Future Textile Awards program recognizes companies with visionary leadership and groundbreaking partnerships. An example is Sensoria’s recent partnership with VIVOBAREFOOT, the leading global producer of barefoot shoes, to integrate its technology into a new pressure sensing running shoe. This new smart shoe helps users detect forces, such as impact score, foot landing and contact time metrics with extreme precision through Sensoria® Core technology.

Sensoria® Core, a key innovation that led to Sensoria’s award recognition, is at the center of the Sensoria Development Kit, which provides footwear, sports apparel and lifestyle brands with the tools to harness the same technology components used in Sensoria’s smart garment running system. In addition to these B2B use cases, Sensoria® Core is integrated into Sensoria’s in-house product line, including its new Sensoria Sock 2.0. These upgraded, ultra-light socks detect crucial core metrics, including cadence, foot landing and impact forces exerted by runners.

The complete Sensoria Running System includes a smart t-shirt or sports bra, paired with its smart socks. Together, these devices connect to Sensoria’s new app, Sensoria Run 2.0, which provides real-time feedback through its artificial intelligence coach, Mara, based on a variety of health and fitness metrics. To purchase Sensoria’s line of smart garments, visit: store.sensoriafitness.com.

About World Textile Information Network (WTiN):
World Textile Information Network (WTiN) is the publisher of international technical textiles magazine, Future Textiles (formerly known as Future Materials), and launched the technical textiles awards in 2014. This award, now known as the Future Textile Award, recognizes success in textile innovation and celebrates the essential work of the many businesses which support the industry. This industry leading award program honors innovation and achievement across the technical textiles industry, with 20 dedicated categories to provide a specialized competition for all end-use sectors for technical textiles as well as materials experts, product developers and designers.

About Sensoria Inc.
Our vision is The Garment is The Computer®. Headquartered in Redmond, (WA) Sensoria Inc. is a leading developer of smart garments and IoMe (Internet of Me) wearable solutions that improve people's lives. Our proprietary sensor, electronics and software platform enables Sensoria powered garments to capture and convert data into actionable information to health and fitness users in real-time. Sensoria® is a registered trademark of Sensoria Inc. For further information on Sensoria, please visit: www.sensoriafitness.com.


            

Kontaktdaten