ARCANUS

Serial Number 99492984
630

Registration Progress

Application Filed
Nov 12, 2025
Under Examination
Approved for Publication
Published for Opposition
Registered

Trademark Image

ARCANUS

Basic Information

Serial Number
99492984
Filing Date
November 12, 2025
Drawing Code
4

Status Summary

Current Status
Active
Status Code
630
Status Date
Nov 12, 2025
Application
Pending
Classes
007 009 012 039
+1 more

Rights Holder

Arcanus Aerial Systems Inc.

03
Address
40 Temperance St.
Suite 3200, Bay Adelaid Centre
Toronto, ON M5H0B4

Ownership History

Arcanus Aerial Systems Inc.

Original Applicant
03
Toronto, ON

Legal Representation

Attorney
P. Stephen Fardy

Application History

2 events
Date Code Type Description Documents
Nov 12, 2025 MAFR O APPLICATION FILING RECEIPT MAILED Loading...
Nov 12, 2025 NWAP I NEW APPLICATION ENTERED Loading...

Detailed Classifications

Class 007
Engines, propulsion systems, and powerplants for unmanned aerial vehicles; Components and structural assemblies for propulsion systems.
Class 009
Flight control software for unmanned aerial vehicles; Avionics systems and sensors for unmanned aerial vehicles; Computer hardware and software for remote operation, monitoring, and data analysis of unmanned aerial vehicles.
Class 012
Complete unmanned aerial vehicle (UAV) systems, namely airframes, avionics, propulsion units, payloads, and associated launch and recovery systems; Unmanned aerial vehicles (UAVs); Remotely piloted aircraft; Structural parts, fittings, and accessories for unmanned aerial vehicles; Launch and recovery systems for unmanned aerial vehicles.
Class 039
Rental and leasing of unmanned aerial vehicles (UAVs) for surveillance, reconnaissance, aerial inspection, and monitoring; Provision of unmanned aerial vehicle flight operations as a service; Transport and delivery services using unmanned aerial vehicles.
Class 042
Design and development of unmanned aerial vehicles and related systems; Aerospace engineering and consulting services in the field of unmanned aerial systems; Research and development of software for unmanned aerial vehicles; Development of artificial intelligence and machine learning systems for unmanned aerial operations; Integration of aerospace sensors, avionics, and data systems.

Classification

International Classes
007 009 012 039 042