AUDIDENSE Trademark

Serial Number: 99625732

AUDIDENSE is a trademark filed by Synaptic Vanguard Technologies Inc. on January 30, 2026. The trademark is classified under Class 7 (Machinery), Class 9 (Computers & Electronics), Class 40 (Treatment & Processing), Class 42 (Computer & Scientific). The application is currently pending registration.

Trademark Classes

Class 7 - Machinery

Machines and machine tools; motors and engines; machine coupling and transmission components

Class 9 - Computers & Electronics

Scientific, nautical, surveying, photographic, cinematographic, optical apparatus and instruments

Class 40 - Treatment & Processing

Treatment of materials

Class 42 - Computer & Scientific

Scientific and technological services; industrial analysis and research services

Owner Contact Info

Synaptic Vanguard Technologies Inc.

1208 West Pender St.
Vancouver, BC V6E 2S8

Entity Type: 03

Legal Representation

Attorney of Record

Rexford Bristol Brabson

17 trademarks filed View all →

Correspondence Address

Rexford Bristol Brabson T-Rex Law, P.C.

7040 Avenida Encinas

#104-333

Carlsbad, CA 92011

United States

Trademark Details

Filing Date

January 30, 2026

Registration Date

Not Registered

Goods & Services

Design and development of robotic densification systems and robotic palletizing systems for recycling facilities; Design and development of machine learning software for densification processes; Software as a service (SaaS) featuring software for monitoring, tracking, and auditing densification and compaction processes; Providing online non-downloadable software for monitoring, tracking, and auditing densification and compaction processes.

On-site compacting and densifying of metal cans and plastic containers for third parties.

Computer software for operating, monitoring, and controlling densification and compaction machines; Computer software for tracking, recording, and auditing densification and compaction processes; Computer software for identifying and classifying recyclable materials using optical sensors, image sensors, depth sensors, and barcode scanners.

Robotic recycling machines for densifying and compacting metal cans and plastic containers; Robotic palletizing machines for preparing recyclable materials for shipment.