Random Red is a Croatian research and development company focused on modernizing metrology and quality infrastructure (QI) through technologies such as blockchain, fully homomorphic encryption (FHE), and artificial intelligence. Their mission is to create secure, automated, and privacy-preserving data workflows that improve the trustworthiness of AI systems. As a member of the AIQI Consortium, Random Red contributes its expertise in encrypted data analytics, secure data exchange, and blockchain-based identity. Their work supports AI assurance by protecting data privacy, unifying measurement data formats, and promoting international interoperability across AI-related processes.

BCS, The Chartered Institute for IT, is the UK’s professional body for computing, promoting ethical and competent IT practice for public benefit. With 70,000 members, BCS plays a leading role in shaping national digital policy and professional standards, including AI Assurance. Through certifications like the Chartered IT Professional (CITP) and AI-specific qualifications, BCS ensures its members uphold the highest standards of ethics and accountability. As an active contributor to the AIQI Consortium, BCS supports the development of globally recognised AI Assurance frameworks and is committed to advancing safe, ethical, and collaborative AI governance.

The Global Accreditation Cooperation Incorporated (The Cooperation) is the new international organisation formed by the merger of the International Laboratory Accreditation Cooperation (ILAC) and the International Accreditation Forum (IAF), two key global authorities in accreditation. Together, they have long championed the global recognition of accredited conformity assessment results across industries and governments. Registered in New Zealand in December 2024, The Cooperation is set to officially launch in January 2026, unifying the missions of ILAC and IAF. It supports the AIQI Consortium’s mission to develop ethical AI standards and encourages its members to engage actively in AIQI initiatives.

The National Physical Laboratory (NPL) is the UK’s National Metrology Institute, providing the trusted measurement science essential for innovation, safety, and economic growth. As a leader in developing technical measurement standards, NPL plays a key role in shaping AI assurance, supporting the UK’s National AI Strategy, and advancing international collaboration. NPL is developing pre-normative standards and an international AI terminology tool to align understanding across jurisdictions. A founding partner of the AI Standards Hub, NPL works to ensure AI systems are developed, evaluated, and deployed responsibly, making it a vital contributor to the AIQI Consortium’s global assurance efforts.

The TIC Council, representing Testing, Inspection, and Certification bodies, plays a vital role in ensuring that products and services adhere to safety and quality standards globally. By collaborating with organisations like the AIQI Consortium, the TIC Council contributes to the establishment of a robust quality infrastructure that is essential for the safe and ethical development of artificial intelligence technologies. The AIQI Consortium's mission aligns with the TIC Council’s objectives, fostering an environment that encourages open dialogue and collaboration across sectors. This partnership is crucial in addressing the challenges posed by the rapid advancement of AI, promoting responsible innovation that prioritises safety, security, and ethical considerations.

The United Kingdom Accreditation Service (UKAS) is the UK’s national accreditation body, responsible for assessing and accrediting organisations that deliver certification, testing, inspection, and calibration services. In the context of AI, UKAS supports the development of trustworthy and ethical technologies by accrediting bodies that assess AI systems. Through initiatives like piloting AI certification schemes under ISO/IEC 42001 and collaborating with industry and government stakeholders, UKAS helps ensure AI assurance frameworks are robust and internationally harmonised. As part of the AIQI Consortium, UKAS brings its expertise to support effective, scalable, and trusted quality infrastructure for AI governance.