ABOUT

About Reinsurance Analytics

Reinsurance Analytics is a specialist studio focused on applying AI to reinsurance and risk workflows. We combine technical depth with an understanding of how underwriting, capital, and operations actually run in practice.

Our goal is simple: build tools that help your experts make better, faster decisions – without compromising governance or control.

Reinsurance Analytics team and studio illustration

What we believe

A few principles guide how we design and deploy AI in reinsurance environments.

Reinsurance first, AI second

We start from the realities of reinsurance – treaties, portfolios, capital, and regulation – and only then decide where AI is appropriate.

Human judgement at the centre

Our tools are designed to support underwriters, actuaries, and operations teams, not to replace them. Decisions remain with people.

Transparency and control

We focus on clear workflows, auditability, and documented assumptions so that internal stakeholders can trust and explain outcomes.

Practical over theoretical

We value tools that solve specific problems in live workflows more than abstract models. Pilots are small, focused, and measurable.

How we are structured

A small, focused team with a blend of reinsurance, quantitative, and engineering experience.

Industry experience

Backgrounds across reinsurance, insurance, and capital markets help us translate AI capabilities into language and workflows your teams recognise.

Technical depth

Applied mathematics, machine learning, and data engineering expertise underpin how we design, build, and evaluate each solution.

Delivery mindset

We favour short, well-scoped projects with clear owners and outcomes, rather than open-ended experimentation.

Working with Reinsurance Analytics

We usually start small – one workflow, one team – and build from there if the value is clear.

Focused starting point

We begin with a single use case, such as treaty review support or a pricing context view, so stakeholders can see impact quickly.

Joint ownership

Business owners, data/technology leads, and end users are involved from the start, ensuring alignment with strategy and risk appetite.

Clear decision moments

At the end of each engagement, we document outcomes and agree whether to scale, revise, or pause the initiative.

NEXT STEP

Let’s explore whether we’re a fit

If you are considering AI in reinsurance – or want to refine work already underway – we are happy to start with an initial discussion.

contact@reinsuranceanalytics.io