Elyvra™ is our advanced decision‑support system built on the world’s largest combined financial and behavioural dataset.
It offers an intuitive, natural‑language interface capable of handling deterministic, probabilistic, and hybrid queries with speed and precision.
Probabilistic reasoning is powered by VioCognition™, Elyvra’s probability engine, which delivers results alongside an associated confidence index. This allows users to make informed decisions, even in complex or uncertain environments.
VioCognition™ can also intelligently impute missing data and generate high‑fidelity synthetic datasets for secure anonymisation.
Governance and trust are built into the platform from the ground up. Elyvra™ clearly indicates when synthetic data is used and provides transparency around confidence levels. Every interaction and processing step is fully traceable via an advanced auditing system, ensuring end‑to‑end transparency and compliance with the strictest regulatory standards.
Visionary Leadership
At VioScore™, we are not just building AI — we are architecting the future of human trust and human needs. In a world where technology moves faster than society can grasp, we choose to lead with clarity and conscience. The power of AI is immense, but unchecked progress risks losing sight of what truly matters: people. That’s why our AI operating system is forged at the intersection of bold innovation and unwavering responsibility. We don’t settle for incremental change; we redefine what it means to build technology that serves humanity’s deepest needs.
Our work is relentless — grounded in rigorous research, shaped by ethical discipline, and driven by an unshakeable commitment to human‑centric design. This is how we make responsible AI not just a promise, but a reality.

Romano Toscano
Chief Executive Officer & Founder
Romano is an experienced entrepreneur and a 20 year expert in the Artificial Intelligence space. He has previously sold businesses in the music and mobile application fields.

Chris Boshoff
Chief Technology Officer
Chris has over 25 years’ Microsoft experience, progressing from developer to CTO, specialising in secure cloud modernisation, AI integration, and guiding Azure‑focused architectures that deliver business value.

Dan Butler
Head of Design & Co-founder
Dan is a seasoned digital product designer with nearly 30 years’ experience across multiple sectors, including major brands, and formerly led design for Aimia’s enterprise analytics platform.
Science Team

Dr Juan Garrahan
Chief Scientific Officer
Holds a Chair in Physics at Nottingham, specialising in statistical physics, quantum and classical non-equilibrium, glass transitions, rare events, and machine learning. Author of over 200 papers with 15,000+ citations, he has led major research initiatives and currently directs the Machine Learning in Science Initiative.

Dr Edward Gillman
Head of Analysis
A senior postdoctoral fellow at Nottingham, specialising in statistical physics and machine learning. He holds a PhD in Physics from Imperial College and has expertise in non-equilibrium systems, tensor networks, and machine learning, co-authoring 12 papers, a book, and teaching on the Machine Learning in Science MSc.

Dr Jamie Mair
Head of Engineering
A postdoctoral fellow in machine learning at Nottingham. He gained his PhD in Physics in 2023 on statistical physics and machine learning, after graduating top of his BSc cohort. He received multiple academic prizes and contributes to the Machine Learning in Science MSc programme.