Actuarial and general insurance consultancy for Personal Lines, Commercial Lines, and the London Market.
Based in London, working across the UK and internationally. The actuarial profession is changing rapidly; we're helping insurers and their actuaries to navigate both the proven path and the emerging one, together.
Get in touch →Machine learning is opening new possibilities across actuarial work: reserving, reserve risk, capital modelling, pricing and beyond. However, the field is still young, and no one has all the answers yet.
Developing new standards works best as a partnership: working together to sharpen insight into your business and unlock the full potential of these techniques. We're upfront about what's proven and what's still evolving, building trust step by step rather than promising transformation overnight.
You'll have not only a sharper understanding of your data, but also the knowledge and tools to apply machine learning techniques within your own actuarial team.
We're actively building these capabilities in partnership with clients who wish to shape new standards, while collaborating with fellow actuaries on where the profession goes next.
Reserving, reserve risk, capital modelling, pricing, underwriting support, reporting and the full breadth of actuarial work, done the way the profession has always relied on: rigorous, transparent, and defensible.
This is the foundation the profession stands on, and it's never treated as an afterthought.
"AI" is a term that covers a broad range of technologies, often used interchangeably with Machine Learning and Deep Learning, and it helps to be specific about which ones we mean, especially as all these areas are developing fast. The categories below aren't strictly separate: generative AI and agentic tools are themselves built on deep learning. The application and architecture are what make a fundamental difference, and it's that difference in use that matters most here.
Tools like ChatGPT and Claude that generate text and images, answer questions, and hold conversations. Increasingly used for drafting, summarising, and research support.
Systems that take actions on your behalf: booking things, navigating software, completing multi-step tasks with limited human input. Agentic AI is what you get when a chat LLM is harnessed with tools and instructions, and left to act on them.
Statistical models trained on data to find patterns, make predictions, or estimate outcomes. This includes techniques like gradient boosting and neural networks, used for tasks such as predicting claims development, pricing risk, capital modelling, and reserve risk.
We use machine learning and deep learning to strengthen actuarial modelling: reserving, reserve risk, capital modelling, and pricing. We're not building chatbots or agentic tools, though we recognise these are important parts of the wider AI and actuarial landscape.
AI and machine learning are reshaping what's possible, but progress depends on collaboration across the actuarial profession and building trust as the tools mature. Actuverse exists to help drive that forward, combining strong technical fundamentals with genuine curiosity about where our profession needs to go next, working with clients and fellow actuaries alike.
Across both traditional and modern methods, not one dressed up as the other.
Attention to detail, no layers of bureaucracy.
Confident where the ground is solid, candid where it's still evolving.
The best outcomes come from working together, not bold promises that underdeliver.
Whether it's traditional actuarial work or exploring what AI can do for your book, get in touch.
