FLYGHT CLOUD

Serial Number 99163712
661

Registration Progress

Application Filed
Apr 30, 2025
Under Examination
Approved for Publication
Published for Opposition
Registered

Trademark Image

FLYGHT CLOUD

Basic Information

Serial Number
99163712
Filing Date
April 30, 2025
Drawing Code
4

Status Summary

Current Status
Active
Status Code
661
Status Date
Dec 5, 2025
Application
Pending
Classes
009

Rights Holder

IDEAFORGE TECHNOLOGY LIMITED

99
Address
EL - 146, TTC Industrial Area, Electronic Zone MIDC Mahape
Navi Mumbai 400710
IN

Ownership History

IDEAFORGE TECHNOLOGY LIMITED

Original Applicant
99
Navi Mumbai IN

Legal Representation

Attorney
Usha Menon

USPTO Deadlines

All Deadlines Cleared

All 1 deadline(s) have been cleared by subsequent events. No active deadlines at this time.

Application History

10 events
Date Code Type Description Documents
Dec 5, 2025 TEME I TEAS/EMAIL CORRESPONDENCE ENTERED Loading...
Dec 5, 2025 CRFA I CORRESPONDENCE RECEIVED IN LAW OFFICE Loading...
Dec 5, 2025 TROA I TEAS RESPONSE TO OFFICE ACTION RECEIVED Loading...
Oct 3, 2025 GNRN O NOTIFICATION OF NON-FINAL ACTION E-MAILED Loading...
Oct 3, 2025 GNRT F NON-FINAL ACTION E-MAILED Loading...
Oct 3, 2025 CNRT R NON-FINAL ACTION WRITTEN Loading...
Sep 19, 2025 DOCK D ASSIGNED TO EXAMINER Loading...
Sep 9, 2025 NWOS I NEW APPLICATION OFFICE SUPPLIED DATA ENTERED Loading...
Apr 30, 2025 MAFR O APPLICATION FILING RECEIPT MAILED Loading...
Apr 30, 2025 NWAP I NEW APPLICATION ENTERED Loading...

Detailed Classifications

Class 009
Electronic security and surveillance devices, namely, electronic security tags and labels, acoustic tags, magnetic tags; Downloadable computer networking software; Downloadable computer operating software; Computer software platforms, downloadable, operating, tracking, monitoring, and managing unmanned aerial vehicles (UAVs), drones, and autonomous aircraft; Recorded computer software platforms for receiving or accessing aerial, terrestrial, and satellite imagery, photographic data, site data, map data, and geospatial data, and for data management and analysis; Computer software platforms, recorded, for viewing, analyzing, or sharing aerial, terrestrial, and satellite imagery, photographic data, site data, map data, and geospatial data received from aerial vehicles, unmanned aerial vehicles, or drones; Computer software platforms, downloadable, for viewing, analyzing or sharing aerial, terrestrial, and satellite imagery, photographic data, site data, map data and geospatial data received from aerial vehicles, unmanned aerial vehicles or drones; Computer software platforms, downloadable, for viewing, processing, storing and retrieving aerial, terrestrial, and satellite imagery, photographic data, site data, map data and geospatial data relating to work site operations or industrial operations, that has been captured by an aerial vehicle; Downloadable cloud-computing software for operating, controlling, maintaining, monitoring, logging, or navigating unmanned aerial vehicles, drones, autonomous aircraft, or autonomous vehicles; Downloadable cloud-computing software for receiving and transmitting real-time or post-flight data to or from unmanned aerial vehicles, drones, autonomous aircraft, or autonomous aerial vehicles; Computer software platforms, downloadable, for receiving or transmitting videos, images, sensor data, flight telemetry, flight control, flight plans, flight health, and flight log data to and from unmanned aerial vehicles, drones, or autonomous aircraft; Computer software platforms, downloadable, for storage, management, retrieval, remote access, or remote distribution of flight data, videos, images, sensor data, flight telemetry, flight control, flight plans, flight health, or flight log data received at or from unmanned aerial vehicles, drones, or autonomous aircraft; Recorded computer software platforms for using image recognition technology to identify objects, patterns, anomalies in images, videos received at or from unmanned aerial vehicles, drones, or autonomous aircraft or autonomous aerial vehicles; Recorded computer software platforms for integrating Artificial Intelligence for Machine Learning with the flight data, videos, images, sensor data, flight telemetry, flight control, flight plan, flight health or flight log data received at or from unmanned aerial vehicles, drones, or autonomous aircraft or autonomous aerial vehicles and for predictive and prescriptive analytics capabilities; Recorded computer software platforms for collaborating with team members through collaboration tools like chats, comments and more.

Additional Information

Pseudo Mark
FLIGHT CLOUD

Classification

International Classes
009