SecureML’s team brings over 30 years of combined experience in AI, safety engineering, and cybersecurity, with a background spanning academic research, industrial R&D, and mission-critical system design. We are uniquely positioned to bridge the gap between cutting-edge AI research and the stringent requirements of real-world deployment in regulated or safety-critical contexts.
We develop custom ML-based solutions to address complex security and safety challenges across sectors such as critical infrastructure, industrial automation, aerospace, finance, and healthcare.