The University of Essex and Horus Security Consultancy Limited KTP 24_25 R3

A company is building an AI system that can automatically screen job candidates by analysing their application forms and background information. Pre-employment screening is currently a slow, labour-intensive process. Background checks, qualification verifications, and risk assessments are often done manually, creating bottlenecks for employers and delays for applicants. This project aims to replace much of that human effort with automated tools that use natural language processing—the same technology behind smart assistants and translation software—to read and evaluate text from CVs, references, and other documents. If successful, the system could cut screening times from days to minutes while maintaining or improving accuracy. For large employers—such as hospitals, logistics firms, or government agencies—this could mean faster hiring cycles and reduced administrative costs. For applicants, it could mean quicker decisions and less paperwork. The project is a direct commercial collaboration between a university and a security consultancy, so the goal is a market-ready product rather than fundamental science. The impact would be felt in the quiet machinery of recruitment, not in daily life directly.