Maximum Information has closed a £2.3 mn seed funding round led by Insurtech Gateway, with participation from Liberty Mutual Strategic Ventures, Convex and Portfolio Ventures.
The raise reflects a growing consensus that catastrophe-related risks require a new generation of analytical tools that are vendor-agnostic, use-case centric and capable of supporting a broader spectrum of risk transfer applications.
Founded in 2020, the company focuses on improving global resilience to natural catastrophes through advanced analytics.
The natural hazards and disaster risk landscape is evolving rapidly. At Maximum Information, we provide automated tools that empower you to extract decision-relevant information from your catastrophe models, and implement reliable views of risk.
Its platform targets re/insurers, financial institutions, and other sectors exposed to physical risk, offering transparent tools that work across modelling vendors rather than tying users to one view.
The funding lands against a stubborn protection gap. In 2024, less than 40% of the $417 bn in global economic losses from natural catastrophes were insured.
According to Beinsure, that leaves a $263 bn gap carried by governments, companies, and communities. The modelling industry has matured, yet coverage still lags far behind exposure.
Risk carriers now face shifting peril patterns, more complex portfolios, and a growing number of modelling providers. Choice has increased. Clarity hasn’t always followed.
Many risk teams still struggle to compare outputs, test assumptions, or combine results across models. Without a neutral translation layer, uncertainty creeps in and adoption slows.
Maximum Information aims to fill that gap. The company is building what it describes as the first vendor-agnostic middleware for catastrophe risk analytics. The idea is simple.
Give carriers, brokers, and financial institutions a way to work across models without friction and make decisions they can stand behind.
The funding will accelerate the development of Maximum Information’s vendor-agnostic catastrophe modelling middleware, MagniPhi, and support its long-term vision to build the first ecosystem for multi-sector catastrophe and disaster risk management
MagniPhi plugs into existing catastrophe modelling workflows. It lets users look inside models quickly, test sensitivities, and understand drivers of loss without waiting weeks for reruns.
Tom Philp, chief executive of Maximum Information, said the modelling market doesn’t need more noise. It needs dependable infrastructure. He said the goal is to give organisations a consistent analytical base so catastrophe risk decisions feel less like guesswork.
As the modelling landscape expands the industry needs reliable infrastructure, not more noise. Our goal is to provide the analytical foundation that allows organisations to lean into catastrophe risk decision-making with consistency and confidence.
Tom Philp, Chief Executive Officer of Maximum Information
Insurtech Gateway sees the timing as right. Dom Nolan, investment manager at the firm, said risk carriers and brokers face rising pressure to explain and manage exposure as models multiply across regions and perils.
He said Maximum Information’s platform helps teams compare and work with those models instead of being boxed in by them.
Maximum Information solves a critical problem at the centre of emerging cat modelling trends. (Re)insurers and brokers are facing increasing pressure to better understand risk, and vendors are continuously updating / building new models across global peril-regions.
Dom Nolan, Investment Manager at Insurtech Gateway
“Insurtech Gateway is delighted to partner with Tom and his exceptionally equipped team in building a vendor-agnostic platform of B2B SaaS tools that help risk carriers understand, quantify, and manage catastrophe and climate-related risks,” Dom Nolan says.
According to Beinsure, interest in vendor-neutral analytics reflects a broader shift. As catastrophe risk grows more volatile, confidence in the decision process matters almost as much as the numbers themselves.
