Trade Mark Journal No.2025/025 20 June 2025
UK00004185041 7 April 2025 (35,36,41,42)
AI Safety Lab
- Class 35
- Business data analysis, benchmarking, and publication of performance metrics regarding technology adoption and governance; compilation and systemisation of information into computer databases for comparative studies on artificial intelligence (AI) risk, transparency, and compliance; preparation of business reports and strategic insights focusing on operational best practices; business and organisational advisory services aimed at promoting robust governance and risk management frameworks in emerging technology sectors.
- Class 36
- Financial consultancy relating to funding models or responsible financial strategies for organisations developing or implementing artificial intelligence (AI); consultation on investment strategies, resource planning, and capital deployment aligned with the goal of supporting safe, ethical, and transparent AI innovation.
- Class 41
- Educational and instructional services in the field of responsible and secure artificial intelligence (AI) development, including organising and delivering seminars, conferences, and workshops; creation and dissemination of digital resources, publications, and research findings for educational development and public engagement; provision of training courses and materials focused on ethical design, deployment, and oversight of AI; educational consultancy to promote awareness of risk management, governance, and social responsibility in technology. .
- Class 42
- Provision of scientific and technological services for the design, testing, and validation of advanced digital and artificial intelligence (AI) systems; research and development of tools and frameworks to promote safety, reliability, and accountability in AI; providing non-downloadable online platforms and infrastructure for evaluating and comparing AI technologies; hosting of data repositories, analytics dashboards, and risk assessment frameworks; advisory and consultancy services relating to the responsible governance and oversight of AI-driven solutions.
Luke South