Built by RL and ML Researchers, Engineers, and Observability Specialists

Emeritus Professor at the University of Cambridge and pioneer in reinforcement learning for speech and dialogue systems. Founder of multiple successful AI ventures including VocalIQ, acquired by Apple in 2015, and Entropic, acquired by Microsoft in 1999. Steve also served as Chairman of Phonetic Arts, acquired by Google in 2010, and was an early advisor and mentor to conversational AI startup PolyAI, who raised their Series D in December 2025. Steve has spent decades working at the frontier of adaptive AI, intelligent dialogue systems, and machine learning research, and provides strategic and scientific guidance across Recurvia's long-term research direction.

Former Machine Learning Research Engineer at Apple, where he worked on large-scale neural network systems for Siri. John holds MSc and PhD degrees in Artificial Intelligence and Natural Language Processing from the University of Edinburgh, and an undergraduate degree in Linguistics from the University of Cambridge. John co-founded Recurvia in 2024 with the goal of building technologies which safely enable AI systems to analyse, optimise, and improve themselves.

Machine learning researcher and mathematician specialising in reinforcement learning, optimisation, and large-scale AI systems. Prior to joining Recurvia, Tristan was a Staff Research Engineer at InstaDeep, where he worked on reinforcement learning systems for industrial optimisation and commercial AI deployment at scale. Tristan holds a PhD in Mathematics from King's College London and undergraduate and masters degrees in Mathematics from Cambridge.

Software engineer and entrepreneur specialising in large-scale infrastructure, machine learning systems, and security engineering. James holds a First Class degree in Mathematics from King's College London. Prior to co-founding Recurvia in 2024, he founded and successfully exited Arixian, an AI-centric physical security company. His work focuses on building robust systems capable of supporting next-generation AI workloads at scale.

Machine learning researcher specialising in multi-agent reinforcement learning, adaptive optimisation, and large-scale experimentation systems. Prior to joining Recurvia, Elliot worked at Honda Research Institute Europe and FiveAI, focusing on reinforcement learning research and applied AI systems. At Recurvia, Elliot leads experimentation and evaluation across optimisation and observability workloads, helping drive the development of adaptive training systems at scale.