AIQI Member Spotlight - Random Red
About Random Red
Random Red (randomred.eu) is a Croatian research and development company specializing in the digital transformation of metrology and quality infrastructure (QI). Our mission is to integrate emerging technologies - such as blockchain, fully homomorphic encryption (FHE), and artificial intelligence (AI) - into QI processes, ensuring seamless, secure, and trustworthy data exchange across diverse domains. Through various projects we develop solutions to automate, streamline, and enhance measurement-based processes and data workflows, advancing the overall reliability of AI-driven systems.
Random Red’s Role in AI Assurance
We design solutions that preserve data confidentiality throughout AI analytics, ensuring strict adherence to data protection and privacy regulations. For instance, our solution for AI analysis on encrypted data eliminates the need for any plain-text exposure, significantly mitigating the risk of data leakage.
AI assurance is integral also to our efforts in automating the unification and transformation of measurement data across various standards and custom formats, thus streamlining data integration in QI processes and safeguarding the quality and reliability of AI-driven outcomes.
Overall, our work centers on creating robust, privacy-preserving infrastructures that laboratories and certification bodies can confidently rely on when deploying AI models, thereby fostering both trust and integrity at scale.
Random Red joined the AIQI Consortium to foster collaboration with other stakeholders committed to secure, transparent, and ethical AI development. By contributing our expertise in blockchain-based identity, encrypted data analytics, and secure data exchange frameworks, we aspire to shape the next generation of AI assurance services. For example, we leverage European Blockchain Services Infrastructure (EBSI) and International Data Spaces (IDSA) to streamline verification processes for measuring instruments, digital calibration certificates, and beyond - ensuring the highest levels of trust and interoperability within AIQI’s activities.
Looking ahead, we see robust AI assurance as a critical enabler of trust for the entire AI ecosystem - from algorithm verification to privacy-preserving model training. Our top priorities include advancing privacy-enhancing technologies like FHE, exploring new methods for secure data exchange, and supporting interoperable frameworks for international collaboration. Key challenges lie in aligning diverse stakeholders, standards, and technologies; yet these challenges also present prime opportunities for innovation, standardization, and global cooperation.
For further information, please visit randomred.eu or reach out to our team at info@randomred.eu.