Kathmandu. The global insurance sector is changing rapidly. Where the decision to cover risks can increase or decrease a company’s profit. But one unique partnership is demonstrating how technology can make the process smarter and faster.
On May 12, Markle International, a specialty insurance company known for handling complex business risks, announced a collaboration with Hyperexponential, a provider of advanced pricing and underwriting software. The partnership focuses on how Merkel manages its Canadian operations. Using artificial intelligence (AI) improves everything from premium calculation to final policy decisions.
For those who don’t work in insurance, underwriting may seem like a dry and technical term. Simply put, it’s how insurance companies assess the risk to a customer or business before agreeing to provide coverage. Underwriters look at the data, anticipate potential problems such as fires, accidents or natural disasters, and then determine the correct value for the policy. Previously it involved a lot of manual work with spreadsheets and paper files. Which can lead to delays and errors.
Merkel’s new approach to hyperexponential aims to change that. This is what they call an “AI-native” environment. This means building systems that use AI as a core part of the process, rather than adding later. The partnership aims to calculate value, update valuation tools, and simplify workflows. So that underwriters can work more effectively and improve how different computer systems communicate with each other.
One initial result is a new digital system for environmental risk assessment. This helps the company to manage insurance for pollution or climate-related issues more easily.
This is not the first time Merkel has collaborated with Hyperexponential. The companies are working together to improve pricing in the United States and Bermuda markets in 2025. These ongoing efforts are part of a larger effort by Merkel to remain competitive in specialty insurance. Where policies cover everything from construction projects to high-tech businesses. By adopting these tools, underwriters can spend less time on repetitive tasks and more time applying their experience and judgment to the most challenging cases.
The move reflects a major change taking place in the insurance industry. At a time when businesses are facing increasingly complex risks, from cyberattacks to extreme weather, companies need better ways to analyze data quickly. AI can help by processing large amounts of information, identifying patterns that people don’t see, and providing accurate pricing. However, its purpose is to support people, not replace them. Industry experts argue that the best results are achieved when technology handles day-to-day tasks and skilled professionals make the final decisions.
Such partnerships can ultimately deliver practical benefits for consumers and businesses alike. Smaller companies that previously struggled to get coverage may now have more options as insurance companies become more efficient.
AI systems need good data to work effectively, and companies need to ensure they are transparent and fair to avoid discrimination. Regulators are also closely monitoring whether new technologies create new privacy or accountability problems.
Markel’s investments in this area include expanding its team of data analysts and pricing experts. Demonstrates confidence in combining human expertise with smart technology.
With more insurance companies taking similar paths, the industry may be more responsive to the needs of a changing world. Whether it’s protecting factories from flooding or protecting tech startups from online threats, modern underwriting helps keep systems reliable and sustainable.
This partnership between Merkel International and Hyperexponential exemplifies how collaboration is driving progress. It suggests a future where insurance is less mysterious and a useful and efficient service for all who rely on it. As these changes spread, they can play a quiet but important role in supporting economic growth and helping society manage risk more effectively. –Agency
