{
"mission": "Building the AI operating system for human trust and human needs"
}

Manifesto

This is not just another tech launch. It is a reckoning.

The world today demands more than numbers—it demands courage, clarity, and a refusal to accept the old stories that have failed millions. VioScore™ is born out of that refusal. Why 2026? Because cascading crises—pandemic, climate, economy, war—have stripped away the illusion that traditional risk metrics can capture real human complexity. For too long, powerful systems in the West have mistaken efficiency for wisdom and forgotten the human heart.

VioScore™ does not reduce people to simple metrics or labels. It does not pretend that credit, health, or opportunity can be compressed into a single calculation. We see the whole person—their environment, social ties, constraints, dreams, and fears. We tether technology to justice, ethics, and meaningful outcomes. In doing so, we offer a new social contract: where data and dignity are inseparable.

Organisations today possess more data than at any time in history, yet much of it remains underused—trapped in legacy systems and constrained by outdated processes. The challenge is no longer access to technology; it is the ability to transform vast, fragmented information into actionable intelligence using modern tools and AI driven approaches.

At VioScore™, we envision a world where AI serves as a trusted partner—not an opaque black box. Our systems elevate human judgment while upholding the highest standards of ethical integrity, data sovereignty, and contextual understanding.

Building on this foundation, VioScore™ sets a new benchmark for responsible, interpretable, and genuinely human aware AI. By uniting advanced scientific disciplines with real world executive insight, we create next generation decision support solutions that unlock deeper, fairer, and more reliable understanding of risk, performance, and human behaviour. Powered by one of the most comprehensive financial and behavioural datasets available, our platform enables organisations to see patterns and possibilities that were once invisible.

We deliver deterministic and probabilistic insights across financial, healthcare, environmental, and governmental sectors—always with privacy, security, and transparency at the core.

This is the future we choose: technology that honours the individual, strengthens institutions, and restores trust in the systems that shape our lives. VioScore™ stands for a world where intelligence is accountable, decisions are explainable, and human worth is never up for computation.

A world where data serves people—never the other way around.

Manifesto

This is not just another tech launch. It is a reckoning.

The world today demands more than numbers—it demands courage, clarity, and a refusal to accept the old stories that have failed millions. VioScore™ is born out of that refusal. Why 2026? Because cascading crises—pandemic, climate, economy, war—have stripped away the illusion that traditional risk metrics can capture real human complexity. For too long, powerful systems in the West have mistaken efficiency for wisdom and forgotten the human heart.

VioScore™ does not reduce people to simple metrics or labels. It does not pretend that credit, health, or opportunity can be compressed into a single calculation. We see the whole person—their environment, social ties, constraints, dreams, and fears. We tether technology to justice, ethics, and meaningful outcomes. In doing so, we offer a new social contract: where data and dignity are inseparable.

Organisations today possess more data than at any time in history, yet much of it remains underused—trapped in legacy systems and constrained by outdated processes. The challenge is no longer access to technology; it is the ability to transform vast, fragmented information into actionable intelligence using modern tools and AI-driven approaches.

At VioScore™, we envision a world where AI serves as a trusted partner—not an opaque black box. Our systems elevate human judgment while upholding the highest standards of ethical integrity, data sovereignty, and contextual understanding.

Building on this foundation, VioScore™ sets a new benchmark for responsible, interpretable, and genuinely human aware AI. By uniting advanced scientific disciplines with real world executive insight, we create next generation decision support solutions that unlock deeper, fairer, and more reliable understanding of risk, performance, and human behaviour.

We deliver deterministic and probabilistic insights across financial, healthcare, environmental, and governmental sectors—always with privacy, security, and transparency at the core.

This is the future we choose: technology that honours the individual, strengthens institutions, and restores trust in the systems that shape our lives. VioScore™ stands for a world where intelligence is accountable, decisions are explainable, and human worth is never up for computation.

A world where data serves people—never the other way around.

Elyvra

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.

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Powered by the world’s largest financial and behavioural dataset

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Natural‑language interface for deterministic, probabilistic, and hybrid queries

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VioCognition™ probability engine with confidence scoring

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Intelligent data imputation and synthetic dataset generation

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Built‑in governance, transparency, and regulatory‑grade auditing

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Clear disclosure whenever synthetic data is used

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

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

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

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

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

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

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.