# 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