# Trade Mark Journal No.2026/021 22 May 2026

## UK00004379844 28 April 2026 (9,42)

SEEV

International priority date claimed: 31 October 2025 (Canada) (2434679)

Class 9
  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 for content analysis, contextual summarization, and automated editorial decision-support; AI-based tools for evaluating accuracy, neutrality, and tone in digital media; Machine-learning models for bias scoring and mitigation; Systems for generating and displaying bias-adjusted news summaries; 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.
Class 42
  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 temporary use of non-downloadable computer software and APIs for bias detection and mitigation in digital advertising, healthcare, education, finance, and other data-driven fields; Non-downloadable software for auditing and improving fairness, transparency, and accountability in automated decision systems, including APIs and dashboards for bias analytics and editorial bias visualization; 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.

First Duty Holdings Ltd.

Representative: Mewburn Ellis LLP