Trademark Overview
On Tuesday, April 14, 2026, a trademark application was filed for SKANIT AI with the United States Patent and Trademark Office. The USPTO has given the SKANIT AI trademark a serial number of 99762224. The federal status of this trademark filing is NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER as of Tuesday, April 14, 2026. This trademark is owned by Caribbean Diagnostics Inc.. The SKANIT AI trademark is filed in the Computer & Software Products & Electrical & Scientific Products, Medical Instrument Products, and Computer & Software Services & Scientific Services categories with the following description:
Software as a service (SaaS) featuring an AI-powered cloud platform for aggregating, analyzing, and visualizing multi-modal capture data including package dimensional data, product visual verification data, cold chain temperature records, damage detection records, visual chain-of-custody documentation, and inventory intelligence data; providing a cloud-based platform for fleet coordination of AI-powered multi-modal capture devices; providing over-the-air machine learning model updates and training pipeline services for edge computing capture devices; software as a service (SaaS) for automated claims evidence generation, customs documentation support, and regulatory compliance documentation in logistics, retail, healthcare, and pharmaceutical cold chain applications
Handheld AI-powered multi-modal capture devices comprising integrated image sensors, barcode scanners, radio-frequency identification (RFID) readers, infrared temperature sensors, and edge computing processors for capturing, processing, and transmitting product identity, dimensional, visual, temperature, and environmental data in real time; handheld electronic devices for logistics package dimensioning using artificial intelligence, inventory scanning, product visual verification, and cold chain temperature documentation; fixed-mount multi-modal AI sensor assemblies for conveyor-line scanning, self-checkout monitoring, and receiving dock automation; computer hardware for real-time machine learning inference and computer vision at the point of capture
Handheld AI-powered electronic devices for medical and surgical environments, namely, multi-modal capture devices with machine learning capabilities for automated documentation of surgical implants, medications, and consumables used during medical procedures; handheld AI-powered electronic devices for automated blood product verification and transfusion safety comprising barcode reading, image capture, infrared temperature measurement, and compatibility verification; handheld AI-powered electronic devices for anesthesia medication verification including drug identification, allergy cross-referencing, and dosing verification; handheld electronic devices with antimicrobial housings and sterile-field-compatible interfaces for use in clinical environments
