EXPENSE INTELLIGENCE Trademark
Serial Number: 99510370
Trademark Classes
Class 9 - Computers & Electronics
Scientific, nautical, surveying, photographic, cinematographic, optical apparatus and instruments
Class 36 - Insurance & Financial
Insurance; financial affairs; monetary affairs; real estate affairs
Class 42 - Computer & Scientific
Scientific and technological services; industrial analysis and research services
Class 35 - Advertising & Business
Advertising; business management; business administration; office functions
Owner Contact Info
Legal Representation
Correspondence Address
Matthew D. Stein Pierce Atwood LLP
254 Commercial Street
Portland, ME 04101
United States
Trademark Details
Filing Date
November 21, 2025
Registration Date
Not Registered
Goods & Services
Credit card services, namely, issuing business credit cards; virtual credit card services, namely, issuing virtual credit cards; pre-funded card services, namely, issuing pre-paid cards for businesses
Magnetically encoded credit cards; virtual credit card, namely, downloadable software for enabling payment via virtual credit cards; magnetically encoded pre-funded credit and debit cards; downloadable software, recorded software and downloadable mobile software applications, all for use in procurement, invoicing, expense management and reimbursement, and data analytics therefor; downloadable software, recorded software, and downloadable mobile software applications, all for use in employee and human resource management, and data analytics therefor
Providing on-line non-downloadable software for use in procurement, invoicing, expense management and reimbursement, and data analytics therefor; providing on-line non-downloadable software for use in employee and human resource management, and data analytics therefor
Provision of business administration and management services in the fields of procurement, invoicing, travel and other expense management and reimbursement, and data analytics therefor; provision of business administration and management services in the fields of employee and human resource management, and data analytics therefor