About 289 Trademarks found for “da*ld”

The mark consists of the literal element "DATASHIELD" in stylized font.

Downloadable mobile applications for obtaining news, information and commentary in the field of computer technology, for generating marketing leads in the field of computer technology, and for networking in the field of computer technology; Downloadable software in the nature of a mobile application for obtaining news, information and commentary in the field of computer technology, for generating marketing leads in the field of computer technology, and for networking in the field of computer technology

DARK HOLD

Downloadable electronic publications in the nature of comic books, comic magazines and stories in illustrated form

Entertainment services, namely, providing online non-downloadable comic books and graphic novels

The mark consists of the stylized wording "DASHIELD" with the letter "H" in "DASHIELD" being split in the center vertically. The top left of the letter "H" in "DASHIELD" extends up and around the letters "DAS" in "DASHIELD" to form an incomplete rectangle around the letters "DAS". Similarly, the bottom right of the letter "H" in "DASHIELD" extends down and around the letters "IELD" in "DASHIELD" to form an incomplete rectangle around the letters "IELD". To the left of "DASHIELD" there is a shape that represents a shield which has been split into three sections. The top left section includes the shape of a sun, the top right section includes the shape of a snowflake and the bottom section includes multiple rain droplets.

Toys, namely, plastic toy figurines of characters and creatures

T-shirts, shirts, [ sweat shirts, sweat pants, ] hats [, caps, beanies, pants, shorts, tank tops, socks, jackets ]

Providing temporary use of online non-downloadable software for monitoring state and quality of analytical data assets, namely, database tables, business intelligence reports, and dashboards; Software as a service (SAAS) services featuring operational software for data discovery through cataloging data and presenting crucial information about datasets and pipelines, namely, data distributions, relationships and dependencies between datasets, and identifying changes in data, namely, finding anomalies and potential errors