Matmut, a key player in the French insurance landscape, has entered into a strategic partnership with Earnix, a global provider of AI-based SaaS solutions for insurers and banks. Earnix's expertise in delivering comprehensive modeling, pricing, and rating engines aligns seamlessly with Matmut's business and IT needs.
As a leading property and casualty insurer in France, Matmut's collaboration with Earnix introduces a significant enhancement to its pricing strategies. The integration of Earnix solutions into Matmut's tech stack facilitates swift adjustments in pricing, allowing for the seamless incorporation of machine learning models. This not only streamlines the process of building, testing, and deploying rates but also introduces the advantages of automation, governance, and auditability.
Emeric Bellanger, Matmut's Technical Director of Claims and Pricing, highlighted the transformative impact of the partnership. He stated, "This collaboration empowers our pricing team to present recommended pricing changes to top leadership, backed by simulation and an enhanced ability to implement these changes."
Earnix's solutions offer the added advantage of rapid implementation of new models, the launch of innovative products, and increased agility for evolving pricing strategies. This capability is particularly crucial in a dynamic market environment where adaptability and responsiveness are key.
Robin Gilthorpe, CEO of Earnix, expressed enthusiasm about the collaboration, stating, "Earnix prides itself on working with innovative insurers around the world. We are delighted to be working with Matmut to support the strategic market initiatives needed to maintain and grow market share."
The partnership extends comprehensively across Matmut's business, reinforcing a commitment to a collaborative approach. As Matmut and Earnix navigate the evolving landscape of insurance, the strategic alliance aims to position Matmut at the forefront of market dynamics, equipped with advanced pricing capabilities and technological integration.
