Trademark Overview
On Friday, October 31, 2025, a trademark application was filed for SEEV BIAS DETECTION AND MITIGATION SYSTEM with the United States Patent and Trademark Office. The USPTO has given the SEEV BIAS DETECTION AND MITIGATION SYSTEM trademark a serial number of 99474075. The federal status of this trademark filing is NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER as of Friday, October 31, 2025. This trademark is owned by First Duty Holdings Ltd.. The SEEV BIAS DETECTION AND MITIGATION SYSTEM trademark is filed in the Computer & Software Products & Electrical & Scientific Products and Computer & Software Services & Scientific Services categories with the following description:
Downloadable computer software and mobile applications for bias detection, bias scoring, and content summarization; AI-based analytical tools for assessing and mitigating bias in textual, visual, and multimodal data, including tools for algorithmic auditing, dataset bias visualization, and AI explainability; Downloadable computer software for bias detection in news articles; Downloadable computer software for bias scoring and bias mitigation; Downloadable computer software for auditing and detecting bias; Downloadable computer software for analyzing and detecting bias; Downloadable computer software for AI-bias detection, fairness reporting, and data ethics compliance
Software as a Service (SaaS) featuring computer software for auditing and detecting bias in publications; Software as a Service (SaaS) featuring computer software for analyzing and detecting bias in publications; Software as a Service (SaaS) featuring computer software for AI bias detection, fairness reporting, and data-ethics compliance in publications; Providing API’s, downloadable reports, bias-score dataset, and consulting and advisory services in AI bias detection and mitigation; Software as a Service (SaaS) featuring computer software and APIs for auditing, analyzing, detecting, and mitigating bias in digital content, datasets, algorithms, predictive models, and automated decision-making systems; Providing fairness, explainability, transparency, and accountability analytics across text, image, audio, video, and multimodal inputs; Providing temporary use of non-downloadable computer software and APIs for bias detection and mitigation in digital advertising, healthcare, education...
