Trade Mark Journal No.2026/030 24 July 2026
WO0000001926187 (9,42)
Office of origin: Canada
Date of International Registration:30 April 2026
Date of designation in the UK:
30 April 2026
International priority date claimed: 5 February 2026
(Canada)
(2454695)
- 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.
SEEV Intelligence Canada Corp.
Representative: Julian Forman, 403-134 Abbott Street, Vancouver BC V6B 2K4, CANADA