BEGIN:VCARD
VERSION:4.0
ORG:API
PHOTO;ENCODING=b;TYPE=image/png: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
EMAIL:info@apimetrology.com	
TEL;WORK;VOICE:(757) 530-5062
TEL;WORK;FAX:
ADR;WORK:;;15000 Johns Hopkins Dr ;Rockville;MD;20850 United States
URL;WORK:www.apimetrology.com
NOTE:Vision\n\nAPI has developed a portfolio of dimensional metrology sensors. With Dynamic 9D LADAR’s ability to deliver robot or rail-mounted automated non-contact measurements, API’s innovative sensors are now fulfilling Manufacturing 4.0 and Quality 4.0 initiatives.
END:VCARD
