BEGIN:VCARD
VERSION:4.0
ORG:Flexiv Robotics
PHOTO;ENCODING=b;TYPE=image/png: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
EMAIL:	
TEL;WORK;VOICE:(650) 440-7808
TEL;WORK;FAX:
ADR;WORK:;;4500 Great America Parkway Suite 210;Santa Clara;CA;95054 United States
URL;WORK:www.flexiv.com
NOTE:Robotics\n\nFlexiv Robotics created the world's first adaptive robots, transforming industrial automation. With products like the Rizon adaptive robot arm and the Moonlight parallel robot, Flexiv combines force control and AI to enable businesses to automate complex tasks with ease.
END:VCARD