GleanMark

TRACTION CONNECT Trademark

TRACTION CONNECT is a USPTO trademark filed by KHTS, INC.. Status: Pending.

Prosecution Summary

Trademark Summary
TRACTION CONNECT is a standard character word/service mark for downloadable mobile application alerts, warnings, traveler information, and notifications of traffic jams and hazards to drivers, and for monitoring and analyzing vehicular traffic and transportation patterns, as well as business consulting and consultation services in the fields of public safety and vehicular traffic and transportation pattern planning, and providing temporary use of online non-downloadable computer software for those purposes. It was filed on February 9, 2022 and is currently active, with a fourth request for extension of time to file a Statement of Use having been granted, with a current status date of February 17, 2026. The current owner is KHTS, INC. (change noted af

Trademark Facts

MarkTRACTION CONNECT
Serial Number97260540
StatusPending
Filing Date2022-02-09
Mark TypeWord
Nice Classes009 (Electronics & Software), 035 (Advertising & Business), 042 (Software & IT), 045 (Legal Services)
OwnerKHTS, INC.
Attorney of RecordSusan S. Jackson
Prosecution Events39
Latest EventEXRA on 2026-02-18

Goods & Services

Downloadable mobile application for providing alerts, warnings, traveler information, and notifications of traffic jams and hazards to drivers and for monitoring and analyzing vehicular traffic and transportation patterns; Business consulting services in the fields of public safety and of vehicular traffic and transportation pattern planning; Providing advice in the field of public safety; Consultation services in the field of vehicular traffic and transportation pattern planning; Consultation services for municipalities and other government agencies in the field of vehicular traffic and transportation pattern planning; providing temporary use of online non-downloadable computer software for use by municipalities and other governmental entities and agencies for monitoring and analyzing vehicular traffic and transportation patterns

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